Dissertations / Theses: 'Multicriteria Decision Support model'

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Tims, Willem. "GIS model for the Land Use and Development Master Plan in Rwanda." Thesis, University of Gävle, Ämnesavdelningen för samhällsbyggnad, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-4975.

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This thesis was aimed at the development of a Geographical Information System (GIS) based model to support the Rwanda Land Use and Development Master Plan. Developing sustainable land management is the main task of this master plan. Stakeholder’s involvement was of key importance. Their demands should be analysed and visualised to support discussions and the decision-making process. Spatial Multicriteria Decision Analysis (MCDA) is a proven method for land-use planning purposes. However, most land-use planning applications focus on a specific theme, such as urban development. In addition, land-use planning is often limited to a relatively small area. This thesis focused at the development of a countrywide GIS model, containing all land-uses accommodated in three main land-use categories: urban, agriculture and conservation. The GIS model was largely based on the Land-Use Conflict Identification Strategy (LUCIS) model. Many of the goals, objectives, and subobjectives that described the earlier mentioned land-use categories were adopted from the original model. However, a significant number of them were dropped, and new were created to suit the Rwandan situation. Stakeholder’s involvement was realized by assigning weights to the goals and preference maps. The Analytical Hierarchy Process (AHP) was used as weighting method. ESRI’s ArcGIS ModelBuilder was used to give the model shape in the GIS. Firstly, suitability maps were created of all elements in the model. The suitability maps were then transformed into preference maps by weighting them. In the next step the preference maps were collapsed in three classes: low, medium and high preference. Finally, the preference maps of the three land-use categories were combined, in order to visualize conflict areas. Ortho photos proved to be useful when acting as reference for the suitability and preference maps. Despite a large number of missing datasets, the GIS model was executed to simplify the understanding. However, many of the obtained results were unreliable because of the incompleteness of datasets, and can therefore not be used for decision-making. Unfortunately, due to the stage of the project it was not possible to obtain weights from the stakeholders, and should therefore be done when the time is right. Right Choice DSS, a very user-friendly decision support application, was proposed to use for calculating weights. To conclude, the developed GIS model integrated countrywide land-use suitability mapping and stakeholders’ wishes that can be used for discussions and decision making.

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Machado, Thais Cristina Sampaio. "Towards aided by multicriteria support methods and software development: a hybrid model of verbal decision analysis for selecting approaches of project management." Universidade de Fortaleza, 2012. http://dspace.unifor.br/handle/tede/89610.

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The decision may be defined as a result of a process of choice, given an identified problem or when the decision maker faces an opportunity of creation, optimization or improvement in an environment. Frequently, problems are preferentially stated and analyzed in a qualitative way, not in quantitative aspect. I.e., most decision making problems can be qualitatively described. Verbal Decision Analysis (VDA) Framework is a set of methods defined to support the decision making process by the verbal representation of problems. The ORCLASS System (Ordinal Classification) belongs to VDA Framework. It consists at classifying alternatives, which means the prescription of alternatives into particular classes or groups. However, there was still never been developed a software that reproduces its application. This work presents a tool developed as a support to the process of Verbal Decision Analysis, aiming at the processing of a complete result of System ORCLASS to the decision maker. The work intends to provide an evaluation of Project Management approaches applied in the Software Development and examine them toward to identify which are the most preferable ones, aided by the application of a hybrid model of decision making. The hybrid model aims at classifying alternatives using ORCLASS method, through the developed software, and ranking them using a Verbal Decision Analysis method (ZAPROS-IIIi). Afterward, Specific Practices (SP) of Capability Maturity Model Integration (CMMI) level 2 were chosen, and approaches to attend the SP's were ranked from the most preferable to the least preferable ones, aiming to help enterprises which are not able to reach a complete CMMI qualification. Keywords: Decision Making, Verbal Decision Analysis, ORCLASS method, Project Management, ZAPROS method, Specific Practices, Capability Maturity Model Integration.
Uma decisão pode ser definida como o resulta de um processo de escolha, dado um determinado problema ou quando um decisor depara-se com uma oportunidade de criação, otimização ou melhoria dentro de um ambiente. Frequentemente, problemas são preferencialmente definidos e analisados de forma qualitative, não com aspecto quantitativo. Isto é, a maioria dos problemas para tomada de decisão podem ser descritos qualitativamente. O Framework de Análise Verbal de Decisão (AVD) é um conjunto de metodos definidos para dar suporte ao processo de tomada de decisão, através de uma representação verbal dos problemas. O sistema ORCLASS (Classificação Ordinal), pertence ao Framework de Análise Verbal de Decisão. Ele consiste em classificar alternativas, o que significa a divião de alternativas dentre determinadas classes ou grupos. No entanto, ainda não havia sido desenvolvida um software que reproduza sua aplicação. Este trabalho apresenta uma ferramenta desenvolvida para dar suporte ao processo de Análise Verbal de Decisão, com objetivo de processar um resultado completo do sistema ORCLASS para o decisor. O trabalho tem a intensão de fornecer uma avaliação das abordagens de Gerência de Projetos aplicadas nas empresas de desenvolvimento de software e analisá-las afim de identificar quais as mais preferíveis, auxiliadas pela aplicação de um modelo híbrido de tomada de decisão. O modelo híbrido classifica alternativas usando o método ORCLASS, através do software desenvolvido, e as ordena usando um método de Análise Verbal de Decisão de ordenação (ZAPROS-IIIi). Ao final, Práticas Específicas (PS) do Modelo Integrado de Maturidade de Capacidade (CMMI) nível 2 foram selecionados a serem aplicados em Empresas, e abordagens para atender às PSs foram ordenadas das mais preferíveis para as menos preferíveis, com objetivo de ajudar empresas que não teriam estrutura para atingir uma certificação completa de CMMI. Palavras-chave: Tomada de Decisão, Análise Verbal de Decisão, método ORCLASS, Gerência de Projetos, método ZAPROS, Práticas Específicas, Modelo Integrado de Maturidade de Capacidade.

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Larrubia, Caio Bertolo [UNESP]. "Método AHP como instrumento de apoio à decisão para a manutenção da qualidade da água do reservatório de Ilha Solteira." Universidade Estadual Paulista (UNESP), 2010. http://hdl.handle.net/11449/98071.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
O reservatório da Usina Hidrelétrica Ilha Solteira localiza-se entre os estados de São Paulo, Mato Grosso do Sul, Minas Gerais e Goiás inserindo-se na Bacia Hidrográfica do Rio Paraná. Este reservatório foi construído com o objetivo de geração de energia, porém, como geralmente ocorre com a maioria dos reservatórios, passou a ser utilizado para múltiplas finalidades. Dentre os usos se destacam o transporte hidroviário, a irrigação, a aquicultura e o lazer. Devido à boa qualidade de suas águas, apresenta uma forte tendência ao aumento das utilizações deste recurso. Considerando que alguns aproveitamentos resultam em impactos e consequentes conflitos relacionados aos interesses de usos do recurso, é de suma importância o desenvolvimento de medidas disciplinadoras que visem à manutenção da qualidade da água. Nesse sentido, a presente proposta objetivou estabelecer uma hierarquia dos principais usos do reservatório considerando critérios econômicos, sociais, operacionais e a qualidade da água. Para tanto, adotou-se um Modelo Multicritério de Apoio à Decisão, onde, com a utilização do método Analytic Hierarchy Process (AHP), as modalidades de uso do reservatório foram priorizadas. De acordo com o constatado no presente estudo, o segmento de recreação e turismo apresentou o melhor desempenho nos critérios avaliados, sendo considerado como prioridade global para a utilização da água do reservatório de Ilha Solteira e de seus afluentes. O uso dos recursos hídricos para irrigação se mostrou interessante, sendo que foi apontado como prioridade em alguns municípios. A aquicultura aparece em terceiro lugar na ordem de prioridade, se destacando tanto em projetos da iniciativa privada como em projetos com investimentos públicos. A região apresentou um baixo uso dos recursos hídricos para o transporte hidroviário, sendo este segmento quase uma exclusividade...
The Ilha Solteira reservoir is located between the States of São Paulo, Mato Grosso do Sul, Minas Gerais and Goias, inserted in Paraná's river basin. This reservoir was built with the purpose of power generation, but as it usually happens with most reservoirs, it began to be used for multiple purposes. Among the various uses of the reservoir can be highlighted the navigation, the irrigation, the aquaculture and the recreation. Due to the high quality of its waters, there's a strong intent on increasing the use of this resource, being that some uses result in significant impact and therefore, conflicts of interest arise. It is then of utmost importance the creation of disciplinary measures targeted on maintaining water quality. In that sense, this proposal aims to establish a hierarchy of the main uses of the reservoir, considering the criteria economical, social, operational and the quality of the water. To that end, was adapted a Multi-Criteria Decision Support model, where, using the method of Analytic Hierarchy Process (AHP), the uses of the reservoir were prioritized. According to the results of this study, the segment of recreation and tourism showed the best performance on the evaluated criteria and was defined as the global priority concerning the water usage of the reservoir of Ilha Solteira and of their tributaries. The use of water resources for irrigation proved to be interesting, and it was appointed as a priority in some cities. The aquaculture appears in third place in the priority order, standing out so much in projects of the private initiative such as in projects with public investments. The region presented low use of water resources for waterborne transport, being that segment almost exclusiveness of the São Simão-GO city. The usage of the water to supply showed little expression on the cities in the region, however deserves attention for the volume of sewage... (Complete abstract click electronic access below)

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Larrubia, Caio Bertolo. "Método AHP como instrumento de apoio à decisão para a manutenção da qualidade da água do reservatório de Ilha Solteira /." Ilha Solteira : [s.n.], 2010. http://hdl.handle.net/11449/98071.

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Resumo: O reservatório da Usina Hidrelétrica Ilha Solteira localiza-se entre os estados de São Paulo, Mato Grosso do Sul, Minas Gerais e Goiás inserindo-se na Bacia Hidrográfica do Rio Paraná. Este reservatório foi construído com o objetivo de geração de energia, porém, como geralmente ocorre com a maioria dos reservatórios, passou a ser utilizado para múltiplas finalidades. Dentre os usos se destacam o transporte hidroviário, a irrigação, a aquicultura e o lazer. Devido à boa qualidade de suas águas, apresenta uma forte tendência ao aumento das utilizações deste recurso. Considerando que alguns aproveitamentos resultam em impactos e consequentes conflitos relacionados aos interesses de usos do recurso, é de suma importância o desenvolvimento de medidas disciplinadoras que visem à manutenção da qualidade da água. Nesse sentido, a presente proposta objetivou estabelecer uma hierarquia dos principais usos do reservatório considerando critérios econômicos, sociais, operacionais e a qualidade da água. Para tanto, adotou-se um Modelo Multicritério de Apoio à Decisão, onde, com a utilização do método Analytic Hierarchy Process (AHP), as modalidades de uso do reservatório foram priorizadas. De acordo com o constatado no presente estudo, o segmento de recreação e turismo apresentou o melhor desempenho nos critérios avaliados, sendo considerado como prioridade global para a utilização da água do reservatório de Ilha Solteira e de seus afluentes. O uso dos recursos hídricos para irrigação se mostrou interessante, sendo que foi apontado como prioridade em alguns municípios. A aquicultura aparece em terceiro lugar na ordem de prioridade, se destacando tanto em projetos da iniciativa privada como em projetos com investimentos públicos. A região apresentou um baixo uso dos recursos hídricos para o transporte hidroviário, sendo este segmento quase uma exclusividade... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: The Ilha Solteira reservoir is located between the States of São Paulo, Mato Grosso do Sul, Minas Gerais and Goias, inserted in Paraná's river basin. This reservoir was built with the purpose of power generation, but as it usually happens with most reservoirs, it began to be used for multiple purposes. Among the various uses of the reservoir can be highlighted the navigation, the irrigation, the aquaculture and the recreation. Due to the high quality of its waters, there's a strong intent on increasing the use of this resource, being that some uses result in significant impact and therefore, conflicts of interest arise. It is then of utmost importance the creation of disciplinary measures targeted on maintaining water quality. In that sense, this proposal aims to establish a hierarchy of the main uses of the reservoir, considering the criteria economical, social, operational and the quality of the water. To that end, was adapted a Multi-Criteria Decision Support model, where, using the method of Analytic Hierarchy Process (AHP), the uses of the reservoir were prioritized. According to the results of this study, the segment of recreation and tourism showed the best performance on the evaluated criteria and was defined as the global priority concerning the water usage of the reservoir of Ilha Solteira and of their tributaries. The use of water resources for irrigation proved to be interesting, and it was appointed as a priority in some cities. The aquaculture appears in third place in the priority order, standing out so much in projects of the private initiative such as in projects with public investments. The region presented low use of water resources for waterborne transport, being that segment almost exclusiveness of the São Simão-GO city. The usage of the water to supply showed little expression on the cities in the region, however deserves attention for the volume of sewage... (Complete abstract click electronic access below)
Orientador: Milton Dall'Aglio Sobrinho
Coorientador: Maurício Augusto Leite
Banca: José Augusto de Lollo
Banca: Evaldo Luiz Gaeta Espíndola
Mestre

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Costa, Aquilino Manuel Felizardo. "Desenvolvimento de um modelo multimetodológico tridimensional de avaliação de desempenho organizacional: competitividade, gestão estratégica e produtividade." Doctoral thesis, Universidade de Évora, 2018. http://hdl.handle.net/10174/23430.

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O objetivo desta tese é o de criar um modelo de avaliação de desempenho organizacional que auxilie as organizações a aumentarem a sua competitividade e produtividade, desenvolvido numa abordagem multimetodológica com base na utilização das metodologias de conferências de decisão (decision conferencing), de consultoria de processos de grupo (group process consultation) e de análise multicritério de apoio à tomada de decisão, através da realização de casos práticos de aplicação. A realização dos casos de estudo decorreu em quatro organizações com atividade em Portugal entre fevereiro e agosto de 2017, o que permitiu a criação e o desenvolvimento de um modelo tridimensional de avaliação de desempenho organizacional. Decorrente dos resultados obtidos neste trabalho, pode afirmar-se que este modelo, ao (i) facilitar o desenvolvimento de um sistema de medição e avaliação de desempenho organizacional personalizado, (ii) propiciar um espaço de reflexão e de discussão sobre os aspetos estratégicos da organização no futuro, (iii) permitir o desenvolvimento, a implementação, a utilização e a interpretação dos resultados de forma simples e (iv) garantir a sua adaptabilidade a qualquer organização face às suas características, promove o desenvolvimento da competitividade e da produtividade das organizações com base numa tomada de decisão estratégica mais informada sobre a organização; Abstract: Development of a Multimetodological Model of Organizational Performance Evaluation: Competitiveness, Strategic Management and Productivity The purpose of this thesis is to create an organizational performance evaluation model that helps organizations increase their competitiveness and productivity, developed in a multi-method approach based on the use of decision conferencing, group process consultation and multicriteria analysis methodologies to support decision-making, through the execution of practical cases of application. The application of the case studies was carried out in four organizations with activity in Portugal between February and August 2017, which allowed the creation and development of a three-dimensional organizational performance assessment model. Due to the results obtained in this work, it can be affirmed that this model, (i) by facilitating the development of a customized measurement and evaluation system of organizational performance, (ii) by providing a space for reflection and discussion on the strategic aspects of the organization in the future, (iii) by allowing the development, implementation, use and interpretation of the results in a simple way, and (iv) by ensuring its adaptability to any organization based on its characteristics, promotes the competitiveness and productivity development of organizations based on strategic decision-making more informed about the organization.

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Passuello, Ana Carolina. "Development of environmental tools for the management of sewage sludge on agricultural soils." Doctoral thesis, Universitat Rovira i Virgili, 2011. http://hdl.handle.net/10803/31940.

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The application of sewage sludge from wastewater treatment plants on agricultural soils has become an increasing practice in recent years, derived from its environmental benefits (recycling of organic matter and nutrients). However, there are a few studies regarding the risks and benefits for both the environment and the human health, probably because of the complexity of the problem and the high stakeholders’ expectations. The objective of this thesis was to develop methodological tools to support the management of sewage sludge on agricultural soils. Fate, human exposure and health risk models were developed, evaluated and integrated. Furthermore, decision models were built up and integrated into Geographic Information System (GIS) so as to indicate the best agricultural areas to amend with sewage sludge. The use of these tools provides more confident decisions regarding this practice.
La aplicación de lodos residuales de depuradora en suelos agrícolas se ha convertido en una práctica cada vez más extensa en los últimos años, derivada de sus beneficios ambientales. Sin embargo, hay pocos estudios sobre los riesgos y beneficios tanto para el medio ambiente como para la salud humana, probablemente debido a la complejidad del problema y las altas expectativas de los participantes en la toma de decisiones. El objetivo de esta tesis fue desarrollar métodos para la gestión de lodos de depuradora en suelos agrícolas. Se desarrollaron, evaluaron e integraron modelos de transporte, exposición humana y riesgos para la salud. Así mismo, se construyeron modelos de decisión y se integraron en Sistemas de Información Geográfica (SIG) para indicar las mejores zonas agrícolas donde aplicar lodos de depuradora. El uso de estas herramientas proporciona decisiones más fiables con respecto a esta práctica.

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Aires, Renan Felinto de Farias. "Modelo de decis?o multicrit?rio para sele??es interciclo das universidades novas: estudo na Universidade Federal do Rio Grande do Norte." Universidade Federal do Rio Grande do Norte, 2014. http://repositorio.ufrn.br:8080/jspui/handle/123456789/12232.

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The discussions wherein develop proposals for university reform in Brazil include, among other things, the conception of the university titled "New University", whose structural origin comes from the bill of higher education reform and unification of the foundations of education European upper (Bologna process). At its core, the Bologna process has imposed a series of transformations, among which, the promotion of mobility, as a stimulus to interinstitutional cooperation to enable an better and bigger qualification of the students. Nevertheless, what we see is that this point is one of the main points made flawed by Brazilian institutions that have adopted this model of higher education. An example is the Bachelor of Science and Technology - BC&T, Federal University of Rio Grande do Norte - UFRN, where there are problems of the internal order, represented by the problem of the reusing of the disciplines, such also of external order, in cases of transfers interinstitutional. Because of this, and knowing that this is a typical problem in which multiple criteria are involved, the aim of this study is to propose a multicriteria model for selection of interciclo of the BC&T of the UFRN which addresses the issue of mobility. For this, this study was of exploratory and study case nature, use as tools of data collection, the bibliographic and documentary research, as well as semi-structured interviews. For the elaboration of the model, were used the five phases most commonly used in the modeling of problems in operational research in a sample of 91 students of BC&T. As a result, we obtained a model that addresses the issue of internal and external mobility of the school and that, moreover, was also more robust and fair than the current model of BC&T and also what is used in other courses of the UFRN, taking into consideration the expected results by the decision makers
As discuss?es em que se desenvolvem as propostas de reforma universit?ria no Brasil compreendem, dentre outros aspectos, a concep??o da universidade intitulada de Universidade Nova , cuja origem estrutural adv?m do projeto de lei da reforma da educa??o superior e dos fundamentos da unifica??o da educa??o superior europeia (processo de Bolonha). Em seu cerne, o processo de Bolonha imp?s uma s?rie de transforma??es, dentre as quais, a promo??o da mobilidade, como est?mulo ? coopera??o interinstitucional no intuito de permitir uma melhor e maior qualifica??o dos alunos. Apesar disso, o que se percebe ? que este ponto ? um dos principais aspectos deficientes apresentados pelas institui??es brasileiras que adotaram esse modelo de ensino superior. Um exemplo disto ? o Bacharelado em Ci?ncias e Tecnologia - BC&T da Universidade Federal do Rio Grande do Norte - UFRN, em que existem problemas tanto de ordem interna, representada pelo problema de reaproveitamento de disciplinas, como de ordem externa, para os casos de transfer?ncias interinstitucionais. Por conta disto, e sabendo-se que este ? um t?pico problema em que est?o envolvidos m?ltiplos crit?rios, o objetivo deste estudo ? propor um modelo multicrit?rio para a sele??o interciclo do BC&T da UFRN, que contemple a quest?o da mobilidade. Para tanto, este estudo, de car?ter explorat?rio e delineado como estudo de caso, utilizou, como ferramentas de coleta de dados, as pesquisas bibliogr?fica e documental, al?m de entrevistas semiestruturadas. Para a elabora??o do modelo, foram utilizadas as cinco fases mais comumente presentes nas modelagens dos problemas de pesquisa operacional em uma amostra de 91 discentes do BC&T. Como resultados, obteve-se um modelo que contempla a quest?o da mobilidade interna e externa da escola e que, al?m disso, tamb?m se mostrou mais robusto e justo do que o modelo atual do BC&T e tamb?m do que ? utilizado nas demais gradua??es da UFRN, levando em considera??o as expectativas de resultados dos decisores

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Van, Dyk Theron Van Zyl. "Decision support systems for solving discrete multicriteria decision making problems." Master's thesis, University of Cape Town, 1992. http://hdl.handle.net/11427/14300.

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Includes bibliography.
The aim of this study was the design and implementation of an interactive decision support system, assisting a single decision maker in reaching a satisfactory decision when faced by a multicriteria decision making problem. There are clearly two components involved in designing such a system, namely the concept of decision support systems (DSS) and the area of multicriteria decision making (MCDM). The multicriteria decision making environment as well as the definitions of the multicriteria decision making concepts used, are discussed in chapter 1. Chapter 2 gives a brief historical review on MCDM, highlighting the origins of some of the more well-known methods for solving MCDM problems. A detailed discussion of interactive decision making is also given. Chapter 3 is concerned with the DSS concept, including a historical review thereof, a framework for the design of a DSS, various development approaches as well as the components constituting a decision support system. In chapter 4, the possibility of integrating the two concepts, MCDM and DSS, are discussed. A detailed discussion of various methodologies for solving MCDM problems is given in chapter 5. Specific attention is given to identifying the methodologies to be implemented in the DSS. Chapter 6 can be seen as a theoretical description of the system developed, while Chapter 7 is concerned with the evaluation procedures used for testing the system. A final summary and concluding remarks are given in Chapter 8.

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Hodgkin, Julie. "Provision of intelligent user support in decision support systems." Thesis, University of Strathclyde, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366908.

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Mota, Pedro Jorge Gomes. "Comparative analysis of multicriteria decision making methods." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11263.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
The main objective of this dissertation is to perform a Comparative Analysis of different Multicriteria Decision Making Methods applied to real-world problems, in order to produce relevant information to enable the incorporation of those methods on computational platforms. The current document presents a simple case study concerning a decision support application targeted for a real problem regarding retrofitting alternatives of a building with energy efficiency impact. The application process was started with the selection of two Multicriteria Decision Making Methods guided by a preexisting framework, and resulted in the choice of AHP and PROMETHEE II methodologies. These two methods were then combined with three different decision maker profiles (Conservative, Moderate and Aggressive) created by means of risk assessment profiling techniques for portfolio allocation. Afterwards, the chosen decision criteria were disposed in a Risk Pyramid according to their inherent level of risk regarding project evaluation. A match was then performed between the decision maker profiles and each criterion, so as to define a proper set of weights for the decision criteria and preference functions, with corresponding preference and indifference thresholds. Finally, three different sets of results (one for each decision maker profile) were produced using appropriate software, and a Sensitivity Analysis was performed over the criteria to understand their influence on the solution. The general conclusion of this Comparative Analysis is that the increase in the preference modelling ability of the methods brings up the least expected alternatives as recommendations for the decision maker. Besides, we have concluded that the decision profiles that allocate bigger weights to the riskiest criteria are the ones that produce the more dispersed set of results within each method application and within each decision maker profile.

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Kuhn, Tobias [Verfasser], and Stefan [Akademischer Betreuer] Ruzika. "Representative Systems and Decision Support for Multicriteria Optimization Problems / Tobias Kuhn. Betreuer: Stefan Ruzika." Kaiserslautern : Technische Universität Kaiserslautern, 2015. http://d-nb.info/1078504431/34.

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Liu, Dingfei. "An object-oriented approach to structuring multicriteria decision support in natural resource management problems." Doctoral thesis, University of Cape Town, 2001. http://hdl.handle.net/11427/4384.

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Includes bibliographical references.
The undertaking of MCDM (Multicriteria Decision Making) and the development of DSSs (Decision Support Systems) tend to be complex and inefficient, leading to low productivity in decision analysis and DSSs. Towards this end, this study has developed an approach based on object orientation for MCDM and DSS modelling, with the emphasis on natural resource management. The object-oriented approach provides a philosophy to model decision analysis and DSSs in a uniform way, as shown by the diagrams presented in this study. The solving of natural resource management decision problems, the MCDM decision making procedure and decision making activities are modelled in an object-oriented way. The macro decision analysis system, its DSS, the decision problem, the decision context, and the entities in the decision making procedure are represented as "objects". The object-oriented representation of decision analysis also constitutes the basis for the analysis ofDSSs.

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Wagholikar, Amol S., and N/A. "Acquisition of Fuzzy Measures in Multicriteria Decision Making Using Similarity-based Reasoning." Griffith University. School of Information and Communication Technology, 2007. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20071214.152324.

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Continuous development has been occurring in the area of decision support systems. Modern systems focus on applying decision models that can provide intelligent support to the decision maker. These systems focus on modelling the human reasoning process in situations requiring decision. This task may be achieved by using an appropriate decision model. Multicriteria decision making (MCDM) is a common decision making approach. This research investigates and seeks a way to resolve various issues associated with the application of this model. MCDM is a formal and systematic decision making approach that evaluates a given set of alternatives against a given set of criteria. The global evaluation of alternatives is determined through the process of aggregation. It is well established that the aggregation process should consider the importance of criteria while determining the overall worth of an alternative. The importance of individual criteria and of sub-sets of the criteria affects the global evaluation. The aggregation also needs to consider the importance of the sub-set of criteria. Most decision problems involve dependent criteria and the interaction between the criteria needs to be modelled. Traditional aggregation approaches, such as weighted average, do not model the interaction between the criteria. Non-additive measures such as fuzzy measures model the interaction between the criteria. However, determination of non-additive measures in a practical application is problematic. Various approaches have been proposed to resolve the difficulty in acquisition of fuzzy measures. These approaches mainly propose use of past precedents. This research extends this notion and proposes an approach based on similarity-based reasoning. Solutions to the past problems can be used to solve the new decision problems. This is the central idea behind the proposed methodology. The methodology itself applies the theory of reasoning by analogy for solving MCDM problems. This methodology uses a repository of cases of past decision problems. This case base is used to determine the fuzzy measures for the new decision problem. This work also analyses various similarity measures. The illustration of the proposed methodology in a case-based decision support system shows that interactive models are suitable tools for determining fuzzy measures in a given decision problem. This research makes an important contribution by proposing a similarity-based approach for acquisition of fuzzy measures.

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Cameron, Mark A., and Mark Cameron@csiro au. "A Problem Model for Decision Support Systems." The Australian National University. Faculty of Engineering and Information Technology, 2000. http://thesis.anu.edu.au./public/adt-ANU20020717.144031.

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This body of research focuses on supporting problem-stakeholders, decision-makers and problem-solvers faced with an ill-defined and complex real world problem. An ill-defined problem has a characteristic trait of continual refinement. That is, the definition of the problem changes throughout the problem investigation and resolution process. The central theme of this research is that a support system should provide problem stakeholders with a problem definition model for constructing and manipulating a representation of the definition of the problem as they understand it. The approach adopted herein is to first develop a problem definition model for ill-defined problems the 6-Component problem definition model. With this model, it is then possible to move on to identifying the types of changes or modifications to the problem definition that problem stakeholders, decision makers and problem solvers may wish to explore. Importantly, there must be a connection between the surface representation of the problem and the underlying implementation of the support system. This research argues that by focusing the support system around the problem definition, it is possible to reduce the mismatch between the problem objectives and the representation of the problem that the support system offers. This research uses the Unified Modelling Language to record and explore the requirements that problem stakeholders, faced with an evolving problem definition, place on a support system. The 6-Component problem definition model is then embedded within a design for an evolutionary support system. This embedding, supported by collaboration diagrams, shows how a system using the 6-Component problem definition model will support stakeholders in their exploration, evaluation and resolution of an ill-defined and complex real-world problem. A case study provides validation of the effectiveness of the 6-Component problem definition model proposed and developed in this work. The case study uses the 6-Component problem definition model as a basis for implementing the Integration Workbench, an evolutionary support system for land-use planning. Stakeholders explore, communicate, evaluate and resolve the Tasmanian Regional Forest Agreement problem with assistance from the Integration Workbench.

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Mroczkowski, Victor A. (Victor Adam). "Integrated decision support model for global sourcing." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/44307.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2008.
Includes bibliographical references (p. 103-109).
Over the last decade, the U.S. aircraft industry has experienced increasing levels of international integration as companies seek to access global talent and resources, cut production costs, spread financial risk, and secure access to airplane markets throughout the world. In an increasingly complex environment, decision makers seek an effective framework to evaluate the true benefits, costs and risks of sourcing alternatives-both relating to the short-term effects of selecting particular suppliers or groups of suppliers, as well as the long-term effects of redrawing their firm boundary and developing a more vertically disintegrated supply chain. This thesis is an examination of strategic sourcing decision practices at Boeing Commercial Airplanes, based on a six-month internship study with the Future Airplane Production group in Seattle, Washington. In this thesis we will discuss the application of strategic analysis, lean operational analysis, managerial accounting, and Failure Mode and Effects Analysis (FMEA) to improve existing sourcing analysis practices. An integrated decision support model is introduced to represent key sourcing decision factors, their relative importance, and the expected benefits, costs and risks to stakeholders related to each factor (comparing two sourcing alternatives). Using a weighted average, the model expressly indicates the relative value of each alternative. The model is applied to two case studies involving local insourcing and offshore outsourcing, respectively. This study demonstrates the need for incorporating explicit valuation of 'softer' strategic, operational and risk components along with the 'hard' financial analysis when making sourcing decisions.
by Victor A. Mroczkowski.
S.M.
M.B.A.

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Islei, G. "An empirical investigation of the relationship between model and process in multicriteria decision making." Thesis, University of Manchester, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233366.

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Baima, Sandra Keila de Oliveira. "A constructivist multicriteria methodology for vulnerability assessments of dams and downstream regions." Universidade Federal do CearÃ, 2015. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=13387.

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The Federal Law No. 12.334 of 20 September 2010, established the National Policy on Dam Safety (NBSP), whose goal is to establish the baseline for evaluation and monitoring of the implementation of the policy, serving as a tool to analyze your effectiveness in reducing accidents and improving the safety management of Brazilian dams. The law defined a number of instruments, security management, making them mandatory thereafter. In compliance with art. 7 of the said Act, the National Water Resources Council established from the CNRH Resolution No. 143 (10 July 2012), the classification system by risk category and potential damage associated and vessel volume. According to this resolution, certain technical characteristics of the dam and the valley downstream, should be scored to classify dams according to the risk and potential damage associated. However, this work proposes a dam classification model in vulnerable categories, based on a multi-criteria decision support methodology - MCDA (MultiCriteria Decision Aid) which is characterized by adopting a constructivist approach. The multi-criteria method adopted is the MACBETH, implemented in computer readable M-MACBETH.
A Lei Federal nÂ 12.334, de 20 de setembro de 2010, estabeleceu a PolÃtica Nacional de SeguranÃa de Barragens (PNSB), cujo objetivo Ã estabelecer a linha de base para avaliaÃÃo e acompanhamento da implementaÃÃo da referida polÃtica, servindo como ferramenta de anÃlise de sua efetividade na reduÃÃo de acidentes e na melhoria da gestÃo da seguranÃa das barragens brasileiras. A lei definiu uma sÃrie de instrumentos, de gestÃo da seguranÃa, tornando-os obrigatÃrios a partir de entÃo. Em atendimento ao art. 7Â da referida Lei, o Conselho Nacional de Recursos HÃdricos estabeleceu, a partir da ResoluÃÃo CNRH NÂ 143 (em 10 de julho de 2012), o sistema de classificaÃÃo por categoria de risco e de dano potencial associado e volume do reservatÃrio. De acordo com esta ResoluÃÃo, certas caracterÃsticas tÃcnicas da barragem e do vale Ã jusante, deverÃo ser pontuadas a fim de classificar as barragens em funÃÃo do risco e do dano potencial associado. Contudo, este trabalho, propÃe um modelo de classificaÃÃo de barragens em categorias de vulnerabilidade, baseado em uma metodologia multicritÃrio de apoio Ã decisÃo â MCDA (Multicriteria Decision Aid) que se caracteriza por adotar uma abordagem construtivista. O mÃtodo multicritÃrio adotado Ã o MACBETH, implementado no suporte informÃtico M-MACBETH.

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Schcolnik, Andres E. "Real property portfolio management : a decision-support model." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/70166.

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Thesis (M. Arch.)--Massachusetts Institute of Technology, Dept. of Architecture, 1988.
Includes bibliographical references (leaves 127-129).
In the 1980's corporate real estate has assumed a more active role in the strategic planning of American corporations. However, the tools to accurately evaluate the performance of corporate real property portfolios are still at a very rudimentary stage in their development. This thesis concentrates on the space inventory system of a large corporation and presents a model for determining fair comparisons between buildings across the portfolio. A technique is devised for identifying "outliers", that is, buildings whose performance is significantly different from other buildings of the same type. This technique shows how to classify buildings into groups, so that building class standards can be determined and trends identified. Artificial Intelligence tools such as decision-support systems can be helpful to encode the expertise for evaluating buildings' performance levels. Through the design of two working demos the thesis illustrates how that is possible, and points towards future alternatives. The author spent an academic semester as a consultant/ intern in the real estate division of a multinational corporation. For anonymity purposes, the corporation is called the Star Corporation. The Star Corp. provided the data used in the research, as well as the supervision and training in their in-house systems operation.
by Andres E. Schcolnik.
M.Arch.

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Rico-Fontalvo, Florentino Antonio. "A Decision Support Model for Personalized Cancer Treatment." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5621.

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This work is motivated by the need of providing patients with a decision support system that facilitates the selection of the most appropriate treatment strategy in cancer treatment. Treatment options are currently subject to predetermined clinical pathways and medical expertise, but generally, do not consider the individual patient characteristics or preferences. Although genomic patient data are available, this information is rarely used in the clinical setting for real-life patient care. In the area of personalized medicine, the advancement in the fundamental understanding of cancer biology and clinical oncology can promote the prevention, detection, and treatment of cancer diseases. The objectives of this research are twofold. 1) To develop a patient-centered decision support model that can determine the most appropriate cancer treatment strategy based on subjective medical decision criteria, and patient's characteristics concerning the treatment options available and desired clinical outcomes; and 2) to develop a methodology to organize and analyze gene expression data and validate its accuracy as a predictive model for patient's response to radiation therapy (tumor radiosensitivity). The complexity and dimensionality of the data generated from gene expression microarrays requires advanced computational approaches. The microarray gene expression data processing and prediction model is built in four steps: response variable transformation to emphasize the lower and upper extremes (related to Radiosensitive and Radioresistant cell lines); dimensionality reduction to select candidate gene expression probesets; model development using a Random Forest algorithm; and validation of the model in two clinical cohorts for colorectal and esophagus cancer patients. Subjective human decision-making plays a significant role in defining the treatment strategy. Thus, the decision model developed in this research uses language and mechanisms suitable for human interpretation and understanding through fuzzy sets and degree of membership. This treatment selection strategy is modeled using a fuzzy logic framework to account for the subjectivity associated to the medical strategy and the patient's characteristics and preferences. The decision model considers criteria associated to survival rate, adverse events and efficacy (measured by radiosensitivity) for treatment recommendation. Finally, a sensitive analysis evaluates the impact of introducing radiosensitivity in the decision-making process. The intellectual merit of this research stems from the fact that it advances the science of decision-making by integrating concepts from the fields of artificial intelligence, medicine, biology and biostatistics to develop a decision aid approach that considers conflictive objectives and has a high practical value. The model focuses on criteria relevant to cancer treatment selection but it can be modified and extended to other scenarios beyond the healthcare environment.

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DeAnda, Paula K. "Ethical Decision Making Model for Withdrawing Life Support." Thesis, The University of Arizona, 2003. http://hdl.handle.net/10150/610432.

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Withdrawing a loved one from life support, or life-prolonging treatments, can be devastating, and it occurs with increasing frequency in our modern day hospitals. Families face difficult decisions that will ultimately end up in the demise of the patient. Guidance or assistance of any type that can make this complicated time easier, even if in the smallest way, can result in better outcomes. Identifying an ethical decision making model, and using it with consistency, is a noble and necessary objective. The purpose of this project was to review the literature related to cultural beliefs surrounding death, end-of-life decision making, and the models used in that process. The personal story of a family who faced the decision to withdraw life support of family member, and the decision making process inherent in that journey is also presented. This family's experience is considered within current context of decision making models in the literature. These decision making models are analyzed and provide the basis for the author's proposed model for future use in making decisions about withdrawing life support.

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Missakian, Mario Sarkis. "Automated Support for Model Selection Using Analytic Hierarchy Process." NSUWorks, 2011. http://nsuworks.nova.edu/gscis_etd/249.

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Providing automated support for model selection is a significant research challenge in model management. Organizations maintain vast growing repositories of analytical models, typically in the form of spreadsheets. Effective reuse of these models could result in significant cost savings and improvements in productivity. However, in practice, model reuse is severely limited by two main challenges: (1) lack of relevant information about the models maintained in the repository, and (2) lack of end user knowledge that prevents them from selecting appropriate models for a given problem solving task. This study built on the existing model management literature to address these research challenges. First, this research captured the relevant meta-information about the models. Next, it identified the features based on which models are selected. Finally, it used Analytic Hierarchy Process (AHP) to select the most appropriate model for any specified problem. AHP is an established method for multi-criteria decision-making that is suitable for the model selection task. To evaluate the proposed method for automated model selection, this study developed a simulated prototype system that implemented this method and tested it in two realistic end-user model selection scenarios based on previously benchmarked test problems.

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VASQUEZ, JOSE DANIEL HERNANDEZ. "EVALUATION OF IMPACTS RESULTING ENERGY EFFICIENCY IN THE PULP AND PAPER INDUSTRY USING MULTICRITERIA DECISION MODEL." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34766@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
FUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JANEIRO
PROGRAMA DE EXCELENCIA ACADEMICA
BOLSA NOTA 10
A tese de doutorado tem por objetivo avaliar os impactos decorrentes da implementação de estratégias de eficientizacão energética na indústria de papel e celulose. A motivação pela escolha do tema resultou da necessidade de obter ganhos de energia considerando aspectos que, usualmente, não são considerando em programas de eficiência de energética (i.e.: aspectos sociais, técnicos, econômicos e ambientais). A metodologia utilizada –Método Multicritério de Apoio à Decisão Fuzzy-AHP-TOPSIS– (i) permitiu selecionar as tecnologias de eficientização aplicáveis ao subsetor de papel e celulose e (ii) possibilitou avaliar a influência de cada critério e subcritério na hierarquização de alternativas de eficientização energética. Os resultados consolidados permitiram: (i) confirmar que mudanças tanto nos processos, quantos nas tecnologias transversais do subsetor de papel e celulose devem ser implementadas; (ii) identificar os principais critérios decorrentes da eficientização energética no âmbito social, técnico, econômico e ambiental. Como conclusão, a pesquisa avaliou a relevância de cada critério, sugerindo, inclui-los em programas brasileiros de eficiência energética. Assim, a pesquisa legitima a sua contribuição para o setor energético brasileiro, promovendo o desenvolvimento de novos estudos na área de eficiência energética.
The goal of this work is to evaluate the impacts of the implementation of energy efficiency strategies in the pulp and paper industry. The motivation for choosing the theme resulted from the need to obtain energy gains considering aspects that, usually not considered in energy efficiency programs (i.e.: social, technical, economical and environmental aspects). The methodology used –Multicriteria Decision Making Method Fuzzy-AHP-TOPSIS – (i) allowed to select the efficiency technologies applicable to the pulp and paper sub-sector and (ii) made it possible to evaluate the influence of each criterion and sub-criterion in the hierarchy of alternatives of energy efficiency. The consolidated results allowed: (i) to confirm that changes in the processes and in the transversal technologies of the pulp and paper subsector must be implemented; (ii) identify the main criteria resulting from energy efficiency in social, technical, economic and environmental aspects. As a conclusion, this work evaluated the relevance of each criterion, suggesting that it be included in Brazilian energy efficiency programs. Thus, the research legitimizes its contribution to the Brazilian energy sector, promoting the development of new studies in the area of energy efficiency.

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Henni, Sanaa. "Drug safety decision support model to reduce medication errors." Thesis, City University London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508007.

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The steps involved in the medication process for instance prescribing, dispensing and administering medicines (the "medication process") have always posed some risk to individual patient health. Such "medication errors" were sufficiently common indeveloped countries by the 1960s to warrant formal research. Moreover, the frequency of errors appears not to have declined with the introduction of electronic systems. Several technological approaches has been used to reduce medication errors such as Computerized Physician Order Entry (CPOE), Electronic Patient Record (EPR), drug record system in Denmark and PRESGUID project in France, based on models and theories of errors in healthcare and electronic systems that were drawn from different countries including the UK. Examples of the systems and their evaluation methodology are examined, some of them have already been implemented and others are still being assessed. Consequently, an addition of Clinical Decision Support Systems in current prescribing systems (CDSSs) is necessary. The research considers the development of a medication management model including all the steps of the medication process that involves a clinical decision support system starting from medication prescribing to administration. A necessary preliminary step is to understand the types and contexts of the risks involved. The design of the model was based on the systematic review and meta-analysis outcomes that analysed journal papers, addressing individual themes from definitions, the source of risks and the consequences of errors to comparisons of the medication errors rates between simple prescribing systems and electronic prescribing systems that include CDSSs. The English National Programme For IT is also given prominence as it is a test case for many developed countries and the context for much of my practical work. The new model demonstrates a notable reduction in the frequency of medication errors and the number of patients with Adverse Drug Events. A system dynamics methodology is used to design the model; the first step is the development of Causal Loop Diagrams (CLDs) which are used as an alternative summary of systematic review finding. They show connections between human and technological factors in the medication process and suggest points for support and intervention potentially addressed by the model that includes CDSSs. The second step is the development of system dynamic models of hospital medication flow in order to detect the effect of CDSSs in reducing the rate of patients with medication errors and application of the effect data of CDSSs to one large hospital to identify the consequence of the model with CDSSs on patient’s rate. An evaluation is performed based on focus groups and discussions with clinical pharmacists to demonstrate how the drug safety model can be used. Furthermore an exploitation of pharmacist’s opinions on CLDs and drugsafety model by using a short survey has been presented to improve the consequences of medication errors

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Madeleine, Wedlund, and Bergman Jonathan. "Decision support model for selecting additive or subtractive manufacturing." Thesis, Högskolan i Gävle, Maskinteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-26996.

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Additive manufacturing (AM), or 3D printing, is a manufacturing method where components are produced by successively adding material to the product layer by layer, unlike traditional machining where material is subtracted from a workpiece. There are advantages and disadvantages with both methods and it can be a complex problem to determine when one method is preferable to the other. The purpose of this study is to develop a decision support model (DSM) that quickly guides the end user in selecting an appropriate method with regards to production costs. Information is gathered through a literature study and interviews with people working with AM and CNC machining. The model takes into consideration material selection, size, times, quantities, geometric complexity, post-processing and environmental aspects. The DSM was formulated in Microsoft Excel. The difference in costs between each method in relation to quantity and complexity was made and compared to the literature. The AM model is verified with calculations from the Sandvik Additive Manufacturing. The margin of error is low, around two to six percent, when waste material isn’t included in the calculations. Unfortunately, verification of the CNC model hasn’t been performed due to a lack of data, which is therefore recommended as future work. The conclusion of the study is that AM will not replace any existing manufacturing method anytime soon. It is, however, a good complement to the metalworking industry, since small, complex parts with few tolerances benefits from AM. An investigation of existing solutions/services related to the study was also performed with the ambition that the DSM can complement existing solutions. It was found that while there are many services that helps companies with implementing AM through consulting, few provides any software to assist the company. Regarding the question if AM is profitable for certain products, only one software fulfilled that demand, though it didn’t provide any actual costs. The DSM therefore fills a gap among the existing services and software.
Additiv tillverkning (AM), eller 3D-printing, är en tillverkningsmetod där komponenter produceras genom att succesivt addera material till produkten lagervis, till skillnad från skärande bearbetning där material subtraheras från ett arbetsstycke. Det finns fördelar och nackdelar med respektive metod och det kan vara ett komplext problem att avgöra när den ena metoden är att föredra framför den andra. Syftet med denna studie är att utveckla en beslutstödjande modell (DSM) som hjälper användaren välja lämplig metod med avseende på produktionskostnader. Information inhämtas genom en litteraturstudie samt intervjuer med personer som arbetar med AM och skärande bearbetning. Modellen tar hänsyn till material, storlek, tider, geometrisk komplexitet, efterbearbetning och miljöeffekter. Den beslutstödjande modellen skapades i Microsoft Excel. Skillnaden i pris mellan respektive tillverkningsmetod beroende på antal och komplexitet jämfördes mot litteraturstudien. Modellen för AM verifieras med hjälp av kostnadskalkyler från Sandvik Additive Manufacturing. Felmarginalen är förhållandevis låg på cirka två till sex procent när spillmaterial inte tas hänsyn till. Tyvärr har modellen för skärande bearbetning inte verifieras på grund av en brist på data, vilket därför rekommenderas som fortsatt arbete. Slutsatsen är att AM inte kommer ersätta någon nuvarande tillverkningsmetod. Det är dock ett bra komplement till metallindustrin eftersom små, komplexa komponenter med få toleranskrav gynnas av AM. En undersökning över nuvarande tjänster relaterat till studien genomfördes med ambitionen att utreda om den beslutstödjande modellen kompletterar dessa. Resultatet av undersökningen visar att medan det finns många konsulttjänster som hjälper ett företag implementera AM så är det få som erbjuder någon form av mjukvara. Gällande frågan om AM är lönsam för vissa produkter så var det bara en mjukvara som kunde besvara den, dock utan att visa några kostnader. Den beslutstödjande modellen framtagen i denna studie fyller därmed en funktion bland nuvarande tjänster och mjukvaror.

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Horne, Susan Elaine. "A Seasonal Shelf Space Reorder Model Decision Support System." Kent State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=kent1291086889.

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Tao, Cheng. "Decision-Making Support by a Value-Driven Design Model." Thesis, Blekinge Tekniska Högskola, Institutionen för maskinteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11881.

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This thesis analyses the use of value models as boundary objects to support decision making during conceptual design of Product-Service Systems. Compared to requirements-based models, value models are claimed to enhance understanding of the design problems and customer needs, as well as to help the design team in creating more value adding solutions. The work of this thesis was to prepare, conduct and analyse a series of design experiments, which are are based on the continuous observations of designers’ verbalized design considerations. Protocol analysis was conducted to investigate how value models perform as boundary objects in design, in comparison with requirements-based models. The time spent on each different activity in the protocol has been used as main proxy in the experiment. Data triangulation was ensured by the use of a questionnaire that was answered by all participants. Both methods revealed that in the preliminary phase, value models are more effective than requirements-based models in conveying intuitive value-related information, assessing intangibles value aspects, and encouraging discussions on value concerns.

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Fitz-Rodriguez, Efren. "Decision Support Systems for Greenhouse Tomato Production." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/195798.

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The purpose of greenhouse crop systems is to generate a high quality product at high production rates, consistently, economically, efficiently and in a sustainable way. To achieve this level of productivity, accurate monitoring and control of some processes of the entire biophysical system must be implemented. In addition, the proper selection of actions at the strategic, tactical and operational management levels must be implemented.Greenhouse management relies largely on human expertise to adjust the appropriate optimum values for each of the production and environmental parameters, and most importantly, to verify by observation the desired crop responses. The subjective nature of observing the plant responses, directly affects the decision-making process (DMP) for selecting these `optimums'. Therefore, in this study several decision support systems (DSS) were developed to enhance the DMP at each of the greenhouse managerial levels.A dynamic greenhouse environment model was implemented in a Web-based interactive application which allowed for the selection of the greenhouse design, weather conditions, and operational strategies. The model produced realistic approximations of the dynamic behavior of greenhouse environments for 28-hour simulation periods and proved to be a valuable tool at the strategic and operational level by evaluating different design configurations and control strategies.A Web-based crop monitoring system was developed for enhancing remote diagnosis. This DSS automatically gathered and presented graphically environmental data and crop-oriented parameters from several research greenhouses. Furthermore, it allowed for real-time visual inspection of the crop.An intelligent DSS (i-DSS) based on crop records and greenhouse environment data from experimental trials and from commercial operations was developed to characterize the growth-mode of tomato plants with fuzzy modeling. This i-DSS allowed the discrimination of "reproductive", "vegetative" and "balanced" growth-modes in the experimental systems, and the seasonal growth-mode variation on the commercial application.An i-DSS based on commercial operation data was developed to predict the weekly fluctuations of harvest rates, fruit size and fruit developing time with dynamic neural networks (NN). The NN models accurately predicted weekly and seasonal fluctuations of each variable, having correlation coefficients (R) of 0.96, 0.87 and 0.94 respectively, when compared with a dataset used for independent validation.

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Stephens, Jed. "Understanding and supporting pricing decisions using multicriteria decision analysis: an application to antique silver in South Africa." Master's thesis, Faculty of Science, 2020. http://hdl.handle.net/11427/32999.

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This dissertation presents an application of multicriteria decision analysis to understand and support pricing decisions in fields where goods are unique and described by their characteristics. The specific application area of this research is antique silver objects, where a complete iteration of the multicritia decision process is performed. This includes two problem structurings using SODA which provide rich detail into this application area. Multi-attribute additive models are constructed, with attribute partial value functions elicited using different methods: directly (bisection methods), indirectly (MACBETH and linear interpolation) and with discrete choice experiments. The applicability and advantages of each method is discussed. Additionally, an open source R package to implement the design of discrete choice experiments is created. The multi-attribute models provide key insights into decision maker's reasoning for price; and contrasting different decision maker's models explains the market. A risk adverse relationship between multicriteria model score and price is characterised and various inverse utility functions investigated. Two decision support systems are fully developed to address the needs of Cape silver decision makers in South Africa.

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Alkimim, Akenya Freire de. "Multicriteria decision analysis applied to the spatial allocation of crops as a planning support system for agricultural expansion in Brazil." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/11/11140/tde-21032014-112043/.

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The history of the advancement of the agricultural frontier in Brazil has been closely related to environmental losses. Although environmental losses are sometimes inevitable in the context of agricultural expansion, they should always be minimized. This study seeks to avoid the past pattern of development by proposing a more sustainable way of expanding agriculture. The research tests whether it is possible to expand the cultivation of food and fuel crops in Brazil without compromising natural ecosystems. Brazil has a great agricultural potential considering the significant amount of lands that is suitable for agriculture with a favorable climate and topography. To supply the domestic agricultural market and for Brazil to take on a global food and biofuel export leadership position, actions should be taken to plan for this potential sustainable expansion. This planning would be an alternative means of advancing the agricultural frontier, as opposed to the deforestation previously practiced. A way to accomplish a sustainable pattern of agricultural development could be by the identification of suitable areas to support the expansion without further loss of forestlands. Pasture is a type of land use that occupies large areas in Brazil, and pastures are considered strategic resources for the effectiveness of the proposed expansion, given that they represent areas that have already been deforested and offer some type of existing infrastructure. In addition, from the current biophysical potential production - pasture based beef cattle - may be underused. The goal of this dissertation is to develop a spatial allocation model based on a multicriteria decision making and geographic information systems (GIS) using land suitability analysis to support decision makers with geospatial information about where potential areas for sugarcane and soybean expansion are located in Brazil. The multicriteria decision analysis (MCDA) consists of physical land suitability, infrastructure and socioeconomic data integration to identify suitable pasturelands for crop allocation. To enhance the reliability of the model, a team of specialists in the agricultural crops was selected to establish the criteria priorities in the model for the analysis process. The combination of their judgments gives an overall priority that feeds the multicriteria model. \"What if\" scenarios were also built to show how changes in the criteria priority weights would modify the spatial distribution of suitability classes in relation to the main model. The results yield maps that represent the distribution of suitability classes for sugarcane and soybean expansion. Pasturelands become more or less suitable for sugarcane or soybean allocation according to shifts in the influence of each criterion in the model. The designed models show results that may assist policymakers with geospatial information about priority areas where investments and efforts should be directed for sustainable agricultural expansion in Brazil.
A história do avanço da fronteira agrícola no Brasil tem sido intrinsecamente relacionada ao desmatamento. Embora perdas ambientais sejam, por vezes, inevitáveis no contexto de uma expansão agrícola, elas devem ser reduzidas sempre que possível. Tentando não seguir um padrão de desenvolvimento feito à custa de desmatamentos, e pensando numa forma mais sustentável de expansão da agricultura, nós avaliamos nesse estudo a possibilidade de expansão agrícola, para produção de alimentos e de biocombustíveis, sem o comprometimento do ecossistema natural existente no país. O Brasil tem um grande potencial agrícola atribuído à significativa quantidade de solos aptos para agricultura com clima e topografia favoráveis. Para abastecer o mercado agrícola nacional e assumir uma posição de liderança global na exportação de alimentos e biocombustíveis, ações devem ser tomadas pelo Brasil para o planejamento desse potencial de expansão. Esse planejamento seria um modelo alternativo para o avanço da fronteira agrícola, oposto aos padrões de avanço anteriores diretamente relacionados ao desmatamento. Uma forma de conseguir um padrão de desenvolvimento sustentável poderia ser pela identificação de terras agrícolas aptas à essa expansão sem estimular maiores perdas de florestas. As pastagens ocupam grandes áreas no Brasil e são consideradas recursos estratégicos para a eficácia dessa expansão, uma vez que representam áreas que já foram desmatadas e oferecem algum tipo de infraestrutura. Dado o atual potencial biofísico de produção, estima-se que as áreas de pastagem destinadas à pecuária bovina podem estar sendo subutilizadas. O objetivo desse trabalho é desenvolver um modelo de alocação espacial fundamentado numa análise de decisão multicritério e SIG com base na aptidão agrícola das terras, de forma a fornecer informações geoespaciais estratégicas aos tomadores de decisão sobre a localização das áreas potenciais para a expansão da cana-de-açúcar e soja no Brasil. A análise de decisão multicritério (MCDA) consiste na integração de dados edafoclimáticos, de infraestrutura e socioeconômicos para a identificação das áreas de pastagens aptas para a alocação dessas culturas. Para aumentar a confiabilidade do modelo, uma equipe de especialistas em cana-deaçúcar e soja foi selecionada para julgar a prioridade das variáveis no processo de análise. A combinação dos julgamentos fornece uma prioridade geral das variáveis, as quais alimentam o modelo. \"E se\" cenários foram também elaborados para mostrar como as mudanças nos pesos dos critérios modificariam a distribuição espacial das classes de aptidão com relação ao modelo principal. Os resultados são exibidos através de mapas que representam a distribuição das classes de aptidão agrícola para a alocação dos cultivos da cana-de-açúcar e soja. As pastagens tornam-se tanto mais adequadas para a alocação da cana ou soja de acordo com as mudanças na influência de cada critério no modelo. Os modelos projetados mostram resultados favoráveis que podem ajudar os tomadores de decisão com informações geoespaciais que identificam áreas prioritárias onde investimentos e esforços deveriam ser direcionados para estimular a expansão agrícola sustentável no Brasil.

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Laake, Jørgen. "An Optimization Model for Strategic Decision Support in Maritime Transportation." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for marin teknikk, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11596.

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Approximately 80% of the world trade measured in volume is carried at sea and there are accordingly many different actors making the shipping industry close to a perfect market. The shipping industry is also a highly volatile industry with abrupt market fluctuations. Under such premises correct timing of decisions becomes essential for those who want to succeed. The nature of the shipping industry also makes it difficult to conduct strategic planning because the fluctuations and irregular pattern between the cycles make the future hard to predict. In this thesis an optimization model that can be used as a tool for strategic planners is presented. An introduction to the shipping industry is given in order to set the background for developing an optimization model. Different types of planning are discussed and important issues connected to strategic planning in shipping are addressed. A deterministic optimization model is presented which suggest the strategic long term decisions that will yield the highest profit for a given planning period. It can be used to evaluate contracts up against each other and find the best mix of COAs and spot contracts for a given fleet, find the optimal fleet size & mix for a set of contracts or a mix of both. In that way it is a very flexible model that can be adapted to fit different scenarios, ranging from small fleets to the larger ones. The model can be used as a basis for a fleet renewal program, helping to decide when to sell and whether to buy old or new ships. It also takes into consideration the time charter market, recommending when to charter in vessels and when to charter out. Another area of application is for users that only are engaged in active vessel trading and not in transportation. A fictional case is used to illustrate how the model can be used to help the management in a shipping company evaluate different strategies. Limitations related to the model and the uncertainties connected to using forecast data is discussed in the thesis.

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Pla, Aragonés Lluís Miquel. "A Markov sow herd model for on-farm decision support." Doctoral thesis, Universitat de Lleida, 2001. http://hdl.handle.net/10803/8155.

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El sector porquí Espanyol ha sofert recentment profuns canvis degut bàsicament a
l'augment de la competència i al procés de globalització econòmica. Ademes, els
avenços tecnológicos i el grau creixent d'especialització en el sector afavoreixen el
desenvolupament i l'adopció de eienes avançades per a la pressa de decisions. En
aquest context, l'objectiu d'aquesta Tesi ha estat formular i implementar un model
dinàmic estocàstic del comportament productiu d'un remat de truges, basat en
processos de decisió Markovians i capaç d'ésser utilitzat en condicions reals. La
finalitat del model és representar alternatives de maneig reproductiu i de reposició en
explotacins porcines per assistir als grangers, tècnics i gerents en la pressa de
decisions en granja.
El model de decisió semi-Markovià i el Markovià que s'en deriva del primer han
demostrat ser models útils per la representació de les estratègies productives de
maneig reproductiu i de la reposició. La disponibilitat de dades de camp de granges
individuals ha permès la validació del model en situacions reals. La validació ha servit
també per mostrar com el model no pot ser aplicat indiscriminadament a qualsevol
granja, prèviament s'ha d'assegurar l'ajust del model a les condicions concretes de
cada explotació. També s'ha ficat de manifest que quan el model s'utilitza per a
calcular l'estructura de la població a l'equilibri no és necessari que la matriu de
transició representi el pas de temps constant, la qual cosa ha permès treballar amb
transicions associades als estats biològics que són més fàcils d'estimar (embedded
Markov process), ademes, proporcionen estalvis computacionals que permeten una
avaluado més ràpida d'alternatives de maneig reproductiu i la implementació
d'algorismes d'optimització pel problema de la reposició més eficientes.
La implementació del model de decisió semi-Markovià dins d'un sistema d'ajut a la
pressa de decisions (DSS: Decision Support Systems) ha mostrat l'ús potencial del
model en granja. El desenvolupament del DSS ha facilitat la disponibilitat d'un model
complex com el presentat a potencials usuaris menys especialitzats. El DSS permet al
granger avaluar a peu de granja diferentes alternatives productives, analitzar la
sensibilitat dels paràmetres que consideri crítics i optimitzar la política de reposició.
Ademes, la integració del DSS en un sistema de gestió informatitzat (BDporc®2)
facilita la difusió del DSS en empreses de producció porcina i també l'obtenció de
noves variables com el número de serveis por monta, la detecció de zels, la detecció
de la gestació, instalacions, etc, que poden ajudar a incrementar la precisió dels
resultats. El disseny sofisticat del interface del DSS ha millorat la interpretació dels
resultats del model que no sempre és inmediata. La incorporació de l'anàlisi de
sensibilitat permet estudiar i profunditzar en els components crítics del model que
sovint resulta més important que l'obtenció d'un resultat precis. Finalment, el model de
remat formulat de forma flexible, és capaç d'adaptar-se a diferents propòsits amb
canvis mínims, la qual cosa contribueix a una millor comprensió dels efectes de
diferentes alternatives de maneig reproductiu sobre la millora de la eficiència
econòmica de tot el sistema productiu.
El sector porcino en España ha sufrido recientemente profundos cambios debido
básicamente al aumento de la competencia y al proceso de globalización económica.
Además, los avances tecnológicos y el creciente grado de especialización en el sector
favorecen el desarrollo y la adopción de herramientas avanzadas para la toma de
decisiones. En este contexto, el objetivo de esta Tesis es presentar la formulación e
¡mplementadón de un modelo dinámico estocástico del comportamiento productivo de
un rebaño de cerdas, basado en procesos de decisión Markovianos y capaz de ser
usado en condiciones reales. La finalidad del modelo es representar alternativas de
manejo reproductivo y de reposición en explotacines porcinas para asistir a granjeros,
técnicos y gerentes en la toma de decisiones en granja.
El modelo de decisión semi-Markovianos y el Markoviano que deriva del primero han
demostrado ser modelos útiles en la representación de las estrategias productivas de
manejo reproductivo y de la reposición. La disponibilidad de datos de campo de
granjas individuales ha permitido la validación del modelo en situaciones reales. La
validación ha servido también para mostrar como el modelo no puede ser aplicado
indiscriminadamente en cualquier granja, previamente se asegurar el ajuste del
modelo a las condiciones concretas de cada explotación. También se ha puesto de
manifiesto que cuando el modelo se utiliza para calcular la estructura de la población
en equilibrio no es necesario que la matriz de transición represente de paso de tiempo
constante, con lo cual ha sido posible trabajar con transiciones asociadas a los
estados biológicas que son más fáciles estimar (embedded Markov process), además,
proporcionan ahorros computacionales que permiten una evaluación más rápida de
alternativas de manejo reproductivo y la implementación de algoritmos de optimización
para el problema de la reposición más eficientes.
La implementación del modelo de decisión semi-Markoviano dentro de un sistema de
ayuda a la toma de decisiones (DSS: Decision Support Systems) ha mostrado el uso
potencial del modelo en granja. El desarrollo del DSS ha facilitado la disponibilidad de
un modelo complejo como el presentado a potenciales usuarios menos especializados.
El DSS permite al granjero evaluar a pie de granja diferntes alternativas productivas,
analizar la sensibilidad de los parámetros que considere críticos y optimiza la política
de reposición. Además, la integración del DSS en un sistema de gestión informatizado
(BDporc®3) facilita la difusión del DSS en empresas de producción porcina y también
la obtención de nuevas variables como el número de servicios por monta, la detección
de celos, la detección de la gestación, instalaciones, etc, que pueden ayudar a
incrementar la precisión de los resultados. El diseño sofisticados del interface del DSS
ha mejorado la interpretación de los resultados que no siempre es inmediata. El
análisis de sensibilidad incorporado permite estudiar y profundizar en los componentes
críticos del modelo que a menudo resulta más importante que el disponer de un
resultado preciso. Finalmente, el modelo de rebaño formulado de forma flexible, es
capaz de adaptarse a distintos propósitos con cambios mínimos, lo que redunda en
una mejor compresión de los efectos de diferentes alternativas de manejo reproductivo
a fin de mejorar la eficiencia económica de todo el sistema productivo.
Spanish pig sector has gone through a deep change during recent times, that is due
basically to the increase in competitiveness and the globalisation process of the
economics. Furthermore, technological advances and the increasing degree of
specialisation have maden possible the development and adoption of advanced tools
for decision support. In this context, the objective of this Thesis has been to formulate
and implement a dynamic estochastic model representing the productive behaviour of
a sow herd, based on Markov decision processes. The model was aimed to be used in
field condicions to analyse different management alternatives on reproduction and
replacement, supporting farm managers in the decision-making process.
The semi-Markovià decision model and the derived Markov decision model (embedded
Markov process) have demonstrated to be useful in the representation of management
alternatives on reproduction and replacement. The availability of data from individual
farms has allowed the validation of the model in real situations. The validation also has
served to show how the model can not be applied indiscriminately on any farm.
Previously, it has been required to assess the fit of the model in specific farm
conditions. Also, it is shown that when the model has been used to calculate the
population structure at equilibrium was not necessary a transition matrix being time
step constant. Instead have been possible to consider transitions associated to
biological states that are easier to estimate, more precise and provided computational
time savings. Hence the model, as it was formulated, allowed a faster evaluation of
management alternatives on reproduction and an efficient impleemntation of algorithms
to optimise replacement policies.
The implementation of the semi-Markov model into a DSS (DSS: Decision Support
Systems) has shown the potential on-farm use of the model. The development of the
DSS makes easier the availability of complex models to less specialised users. The
DSS allows the farm manager to evaluate on-farm different management alternatives
on reproduction and optimise replacement decisions. Moreover, the integration of the
DSS in a management information system (BDporc®1) makes easier the spreading of it
over swine enterprises, as well the obtention of new variables like the number of
services by mating, heat detections, pregnancy detection, facilities, etc, can help to
increment model precision. The sophisticated dessign of the DSS interface has
improved the interpretation of the model results, that not always is right direct. The
addition of sensitivity análisis capability provided insight about the impact of changes in
critical components of the model, that quite often result in a more interest than a single
precise result. Finally, the sow herd model formulated in a flexible way, was able to be
adapted to différents goals with minimum changes, thus it contribute to improve the
knowledge about the effect of different management alternatives on overall economic
efficiency of the system.

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Ibrahim, Osman Mohamed. "A model and decision support mechanism for software requirements engineering." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA322509.

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Dissertation (Ph.D. in Computer Science) Naval Postgraduate School, September 1996.
Dissertation supervisor(s): Valdis Berzins. "Spetember 1996." Includes bibliographical references (p. 219-225). Also available online.

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Tringali, Arthur M. "Spreadsheet decision support model for training exercise material requirements planning." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA333433.

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Dougas, Arthur Harry. "Defining a decision support system to model a conflict scenario." Master's thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-01202010-020224/.

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Kavvouras, Georgios. "A holistic systemic model for decision support in sustainable construction." Thesis, University of Nottingham, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.523692.

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Kothari, Hemal. "An agent-based ontological model to support outsourcing decision making." Thesis, Staffordshire University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548705.

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Fay, TH, and JC Greeff. "A three species competition model as a decision support tool." Elsevier, 2007. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1000167.

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An overcrowding problem of nyala, and lately also of impala in the Ndumo Game Reserve, South Africa, has been detrimental to other species and vegetation structures over a period of two decades. In the present study a deterministic model for three competing species (where two species tend to be overpopulated while the third faces probable localized extinction) is constructed, while future trends coupled with their coexistence are projected. On a mathematical basis, we seek reasons for the failure of the cropping strategies implemented by management over the last two decades, and suggest alternative, scientifical-based approaches to the calculation of cropping quotas to ensure the future coexistence of all three species. A system of three first-order nonlinear differential equations is used, with parameter values based on field data and opinions of specialist ecologists. The effect of various cropping strategies, and the introduction of a fourth species (man as a predator) to the system, is investigated mathematically. This model was implemented as a harvesting strategy in 2002, and is being continuously tested. Final assessment can only be done over a 10–15-year period, but so far indications are promising.

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Mosunich, Marissa Anne. "A Simulation Model for Decision Support in Business Continuity Planning." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1610.

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Enterprises with a global supply network are at risk of lost revenue as a result of disruptive disasters at supplier locations. Various strategies exist for addressing this risk, and a variety of types of research has been done regarding the identification, assessment and response to the risk of disruption in a supply chain network. This thesis establishes a decision model to support Business Continuity Planning at the first-tier supplier level. The decision model incorporates discrete-event simulation of supply chain networks (through Simio software), Monte Carlo simulation, and risk index optimization. After modeling disruption vulnerability in a supply chain network, costs of implementing all combinations of Business Continuity Plans are ranked and then tested in discrete-event simulation for further insight into inventory levels, unmet customer demand, production loss and related costs. A case study demonstrates the implementation of the decision support process and tests a historical set of data from a large manufacturing company. Discrete-event simulation modeling of loss is confirmed to be accurate. The relevance of the model concept is upheld and recommendations for future work are made.

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Nardo, Richard Phillip 1973. "Strategic outsourcing model : decision support for determining supply chain structure." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/34728.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2003.
Includes bibliographical references (p. 138).
Outsourcing is becoming the norm in business today. This is a natural insight from the management philosophy of the 80's and early 90's of doing only what is "Core" to the business. A company, if their main focus is to keep their margins as high as possible, will focus on what gives their company a competitive advantage and differentiates them from the competition. To The Firm, all other tasks outside of these advantages are superfluous and unnecessary. It is only rational, in this management paradigm, to get rid of, or outsource, all of these activities that take scarce resources away from what the company considers core. The next logical question is: "How to conduct an analysis for outsourcing decision making." Current methodologies coalesce cost alternative analysis with a strategic "gut feel" from management to make decisions that will last multiple cycles into the future. Cost analysis is basic. However, strategic analysis is far reaching, impacts the company's future capabilities, and is difficult to evaluate. This thesis proposes a Decision Support System (DSS) for evaluating the strategies of outsourcing and determining the impacts on The Firm. A thorough review of industry and academic literature on outsourcing, analysis of historic outsourcing results, and discussion of current capability concerns has led to the development of six strategic factors: Customer Experience, Technical Clockspeed, Industry Climate, Supply Chain Excellence, Product Architecture, and Competitive Position. Included is an exhaustive discussion of these strategic factors, strategic matrices for evaluating the business climate, development of excel spreadsheets with questions for evaluation of these factors and matrices, development of a database for knowledge transfer, and implementation of the DSS in the organization.
by Richard Philip Nardo.
M.B.A.
S.M.

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Pitros, C. H. "How to identify UK housing bubbles? : a decision support model." Thesis, University of Salford, 2016. http://usir.salford.ac.uk/38629/.

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The purpose of this thesis is to provide a decision support model for the early diagnosis of housing bubbles in the UK during the phenomenon’s maturity process. The development process of the model is divided into four stages. These stages are driven by the normal distribution theorem coupled with the case study approach. The application of normal distribution theory is allowed through the usage of several parametric tools. An empirical application of the model is conducted using UK housing market data for the period of 1983-2011; and by placing particular emphasis on the last two UK housing bubble case studies, 1986 to 1989 and 2001/2 to 2007. The central hypothesis of the model is that during housing bubbles, all speculative activities of market participants follow an approximate synchronisation. The new algorithmic approach successfully identifies the well-known historical UK bubble episodes over the period of 1983-2011. The proposed algorithm acts like an index or a thermometer to gauge the ‘‘fever’’ of a housing bubble in the UK at any point in time. In this approach, the housing bubble is no longer invisible until the crash, and as such can be monitored over time. The study further determines that for uncovering housing bubbles in the UK, house price changes have the same weight as the debt-burden ratio when their velocity is positive. The application of this model-algorithm has led us to conclude that the model’s outputs fluctuate approximately in line with phases of the UK real estate cycle. Finally, the research has provided a new and more technical definition of housing bubbles. The phenomenon is defined as a situation in which all speculative activities of market participants achieve an approximate synchronisation. Consequently, under such regime, the model expects that (during housing bubbles) an irrational, synchronised and periodic increase in a wide range of relevant variables must occur to anticipate a bubble component. In this definition, the relevant variables are those that exhibit a periodic and irrational acceleration in the rate of change, which, in turn, is synchronised with other relevant variables. Therefore, the model views such variables as symptoms for identifying housing bubbles. This thesis proposes a new measure for studying the presence of irrational housing bubbles. This measure is not simply an ex post detection technique but employs dating algorithms that use data only up to the point of analysis for an on-going bubble assessment, giving an early warning diagnostic that can assist market participants and regulators in market monitoring.

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Tiesmeier, Dominique Katlin. "MCDM problem-structuring framework and a real estate decision support model." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/mcdm-problemstructuring-framework-and-a-real-estate-decision-support-model(a3376b20-6d3c-4b78-9aac-e645b454ad51).html.

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The real estate selection process might be regarded as a typical Multi-Criteria Decision Making (MCDM) problem. With current literature concentrating predominantly on institutional investment decision making, additional effort should be directed towards studying inexperienced homebuyers who want to buy a property in which to live. In this context, authors have described the decision environment as a complex decision process with restricted access to property data, high financial burdens partially due to the illiquid nature of the investment, the unfamiliarity with the decision task and low transparency in information aggregation. Consequently, this situation could benefit from a more structured approach that assists homebuyers in their actions. In order to guide the decision making process and provide a suitable support mechanism, it is necessary to first structure the problem and extract the required information. A thorough literature review shows that little guidance is available for MCDM problem structuring. Consequently, this research first proposes an MCDM problem-structuring framework to decompose complex problems into smaller parts. Foremost, the application is intended for high-involvement consumer products and services. This framework is derived from MCDM and methodology literature, where the former provides the elements that need to be defined in any MCDM problem situation, and the latter suggests suitable data collection and analysis methods to obtain the information. As a result, the first contribution to existing literature is the introduction of an MCDM problem-structuring framework, which consists of a carefully designed sequential exploratory mixed method procedure. Next, following the proposed structure, the real estate selection problem in Majorca (Spain) is defined. Whilst providing the inherent problem elements and establishing a comprehensive list of evaluation criteria to assess luxury properties, the fieldwork also offers behavioural insights, contributing and supplementing existing real estate research. In particular, major misunderstandings and false assumptions during real estate agent and client interactions are observed, stressing the need to optimise communication and targeting strategies. On the basis of the relevant real estate evaluation criteria, a dataset of alternative houses is created and subsequently rated by prospective luxury-homebuyers. This provides the basis for the third research focus, the construction of a decision support model for real estate selection. In accordance to the problem features and model requirements, the Evidential Reasoning (ER) rule is identified to offer a powerful and transparent evidence aggregation process, with the potential to have a superior performance than other methods in addressing the selection decision. Due to the ER rule’s short history (2013), application studies in general are practically non-existing and unprecedented in the real estate domain. Therefore, the use of a modified ER model can provide the real estate literature with a prescriptive multi-criteria decision support mechanism, whilst simultaneously offering an application study for the MCDM community and other relevant decision analysis domains. In closing, modelling a real problem using the ER rule highlights the method’s advantages and might in turn increase awareness, leading to more applications.

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Adil, Mohamed. "A decision model for e-procurement decision support systems for the public sector using multi-criteria decision analysis." Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/7796/.

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This PhD research aims to identify, analyse and evaluate a decision model for an e-procurement Decision Support System (DSS) for the public sector in Maldives, especially focusing on the Education Sector. The DSS uses Multi-Criteria Decision Analysis (MCDA) to evaluate procurement alternatives. The features and characteristics of public sector procurement are based on major public sector principles, such as non-discrimination, equality, transparency and proportionality. This results in an organised step-by-step procedure for public sector procurement. However, this research focuses only on decisions that are based on the performances of the suppliers against a pre-set list of criteria where MCDA is applied to the evaluation. This research studied the applicability of a comprehensive set of published MCDA methods identified in the literature to the problem context. The MCDA methods used in this research involves linear weighting methods, single synthesising criterion or utility theory, outranking methods, fuzzy methods and mixed methods. This research adopted the Design Science Research (DSR) methodology, which is intended to design an artefact. The artefact in this case is the decision model. The methodology provides the artefact, explains how to use it, and how to evaluate the artefact. As these three components are of prime importance for the research project, DSR is chosen. The methodology follows a set of specific guidelines provided by Information Systems (IS) research scholars for such IS research projects. To support the process steps of the research project, literature reviews of public sector procurement and MCDA were undertaken, field research of focus groups was carried out, and selected documented data on procurement evaluations were collected for performance analysis of the MCDA methods in context. The first part of the literature review provided the requirements and constraints of the public sector procurement in general and specifically in relation to Maldivian public sector. The second part of the literature review identified MCDA methods and their procedures and characteristics. The focus group discussions were conducted with public sector procurement evaluation officials of selected education institutions, to identify operational constraints and requirements of the procurement. Criteria-based evaluation was conducted on the characteristics of MCDA methods compared to the public sector requirements gathered through literature review and focus groups. This analysis was to identify the applicable MCDA methods based on public sector requirements. The analysis filtered only two applicable methods namely, TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) and COPRAS (COmplex PRoportional ASsessment). Finally, performance analysis was done on the two methods by applying real life procurement data collected from selected public sector institutions. Congruence/incongruence analysis, variance analysis, stability analysis and MCDA were performed based on the results of the two methods, with real life data. The performance analysis shows TOPSIS having higher variance and stability over COPRAS. However, congruence/incongruence analysis was inconclusive. Based on the results of criteria-based evaluation and performance analysis, MCDA was applied on TOPSIS and COPRAS. The current public sector procurement evaluation method, weighted sum and the two filtered methods are used for MCDA on TOPSIS and COPRAS. The MCDA also resulted in favour of TOPSIS. Therefore, based on this research, the recommended decision model for the public sector e-procurement DSS for the Maldivian context is TOPSIS. The major research outputs are the identification of public sector requirements in context, the characteristics of the majority of MCDA methods in context, and strengths of performance of TOPSIS and COPRAS. In addition, the research identified the suitable decision model for the context, a theory of use of it in the context of the Public Sector of the Maldives and a framework to identify and evaluate the decision model.

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Irfan, Muhammad. "An integrated, multicriteria, Spatial Decision Support System, incorporating environmental, social and public health perspectives, for use in geoenergy and geoenvironmental applications." Thesis, Cardiff University, 2014. http://orca.cf.ac.uk/69771/.

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A new Spatial Decision Support System (SDSS) has been designed and developed to address a wide spectrum of semi-structured spatial decision problems. These problems are related to site selection, site ranking and impact assessment. The proposed SDSS is conceptualised as a holistic, informed and impact-based multicriteria decision framework. The system has been developed using the .NET C# programming language and open source geoinformatics technologies such as DotSpatial and SpatiaLite. A combination of existing Multi Criteria Decision Analysis (MCDA) and Artificial Intelligence (AI) techniques, with a few novel variations have been developed and incorporated into the SDSS. The site selection module utilises a theme-based Analytical Hierarchy Process (AHP) and Weighted Linear Combination (WLC). Two site ranking techniques have been introduced in this research. The first technique is based on the systematic neighbourhood comparison of sites with respect to key indicators. The second technique utilises multivariate ordering capability of the one-dimensional Self-Organizing Maps (SOM) to rank the sites. The site impact assessment module utilises a theme-based Rapid Impact Assessment Matrix (RIAM). A spatial variant of the General Regression Neural Networks (GRNN) with a genetic algorithm for optimisation has been developed for the prediction and regression analysis. A number of other spatial knowledge discovery and geovisual-analytics tools have been provided in the system to facilitate spatial decision making process. An application of the SDSS has been presented to investigate the potential of Coalbed Methane (CBM) development in Wales, UK. Most potential sites have been identified by utilising the site selection and site ranking tools of the developed SDSS. An impact assessment has been carried out on the best sites by using Rapid Impact Assessment Matrix. Further analysis has uncovered the spatial variability expected in the potential impacts of the sites, considering key indicators. The application has demonstrated that the developed system can help the decision makers in providing a balanced regime of social, environmental, public health and economic aspects into the decision making process for engineering interventions. The generic nature of the developed system has extended the concept of Spatial Decision Support System to address a range of spatial decision problems, thereby enhancing the effectiveness of the decision making process. The developed system can be considered as a useful modern governance tool, incorporating the key factors into decision making and providing optimal solutions for the critical questions related to energy security and economic future of the region.

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O'Rourke, Jack Redpath. "Decision support model for evaluating MK16 Mine Countermeasure system readiness improvements." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA341828.

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Thesis (M.S. in Management) Naval Postgraduate School, December 1997.
"December 1997." Thesis advisor(s): Keebom Kang, Donald R. Eaton. Includes bibliographical references (p. 55). Also available online.

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Feng, Yucheng. "New conception and decision support model for integrated urban water system." Hamburg GFEU, 2009. http://d-nb.info/994923805/34.

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Allouche, Erez N. "A decision-support model for selection of a trenchless construction method." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ60269.pdf.

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Sontamino, Phongpat. "Decision support system of coal mine planning using system dynamics model." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2015. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-159919.

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Coal is a fossil fuel mineral, which is presently a major source of electricity and energy to industries. From past to present, there are many coal reserves around the world and large scale coal mining operates in various areas such as the USA, Russia, China, Australia, India, and Germany, etc. Thailand’s coal resources can be found in many areas; there are lignite mining in the north of Thailand, the currently operational Mae Moh Lignite Mine, and also coal reserves in the south of Thailand, such as Krabi and Songkhla, where mines are not yet operating. The main consumption of coal is in electricity production, which increases annually. In 2019, the Thai Government and Electricity Generating Authority of Thailand (EGAT) plans to run a 800 MW coal power plant at Krabi, which may run on imported coal, despite there being reserves of lignite at Krabi; the use of domestic coal is a last option because of social and environmental concerns about the effects of coal mining. There is a modern trend in mining projects, the responsibility of mining should cover not only the mining activity, but the social and environmental protection and mine closure activities which follow. Thus, the costs and decisions taken on by the mining company are increasingly complicated. To reach a decision on investment in a mining project is not easy; it is a complex process in which all variables are connected. Particularly, the responsibility of coal mining companies to society and the environment is a new topic. Thus, a tool to help to recognize and generate information for decision making is in demand and very important. In this thesis, the system dynamics model of coal mine planning is made by using Vensim Software and specifically designed to encompass many variables during the period of mining activity until the mine closure period. The decisions use economic criteria such as Net Present Value (NPV), Net Cash Flow (NCF), Payback Period (PP), and Internal Rate of Return (IRR), etc. Consequently, the development of the decision support system of coal mine planning as a tool is proposed. The model structure covers the coal mining area from mine reserves to mine closure. It is a fast and flexible tool to perform sensitivity analysis, and to determine an optimum solution. The model results are clear and easily understandable on whether to accept or reject the coal mine project, which helps coal mining companies make the right decisions on their policies, economics, and the planning of new coal mining projects. Furthermore, the model is used to analyse the case study of the Krabi coal-fired power plant in Thailand, which may possibly use the domestic lignite at Krabi. The scenario simulations clearly show some potential for the use of the domestic lignite. However, the detailed analysis of the Krabi Lignite Mine Project case shows the high possible risks of this project, and that this project is currently not feasible. Thus, the model helps to understand and confirm that the use of domestic lignite in Krabi for the Krabi Coal Power Plant Project is not suitable at this time. Therefore, the best choice is imported coal from other countries for supporting the Krabi Coal Power Plant Project. Finally, this tool successfully is a portable application software, which does not need to be installed on a computer, but can run directly in a folder of the existing application. Furthermore, it supports all versions of Windows OS.

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Guerra, Zubiaga David Apolinar. "A manufacturing model to enable knowledge maintenance in decision support systems." Thesis, Loughborough University, 2004. https://dspace.lboro.ac.uk/2134/7615.

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The product development process, within a typical manufacturing company, utilises huge amounts of knowledge related to manufacturing and design activities. Knowledge based systems are increasingly being used to support manufacturing and design decisions. These systems are important tools for obtaining a competitive advantage and leverage using company "know-how". However, it is important to define suitable knowledge structures in the creation of these decision support systems. Due to the significant volume of knowledge generated in the manufacturing and design stage, there is a need to create structures and methods that readily manage and maintain the knowledge in order to a) assure the long-term use of these systems b) improve the company's competitiveness. The research reported in this thesis explores and defines a Manufacturing Facility Information and Knowledge Model (MFIKM) allowing a) the ability to store and manage various types of knowledge, b) the capturing of valuable new knowledge using a knowledge maintenance method. The understanding of an information and knowledge infrastructure using different types of knowledge categorisation has been explored. The major emphasis has been placed on understanding the facility knowledge structure related to processes and resources supporting process planning decisions. Using a knowledge maintenance life cycle as a method to maintain knowledge, it was possible to capture new and valuable machining knowledge using different types of representations. Knowledge models and methods are essential in the definition of structures to support manufacturing decisions allowing knowledge management and maintenance. It has been shown that the knowledge structures defined for the new model can serve as a source and repository for different types of knowledge allowing the support of manufacturing decisions with up-to-date knowledge. The framework defined enables the structuring of facility knowledge, processes, and resources, as super classes; improving the understanding of the relationships and dependencies among them, and allowing accessibility depending on the characteristics of each. A UML tool helped in the creation of new structures detailing attributes for the classes defined. An experimental system has been implemented using the object-oriented database ObjectStore© and the Visual C++ programming environment. The MFIKM has been explored using scenarios from machining knowledge to successfully demonstrate the feasibility of knowledge maintenance supporting process planning decisions using the knowledge structures defined.

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Hosny, Hoda Mohamed. "Resource allocation and decision support in academic planning : a proposed model." Thesis, University of Leeds, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.291287.

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Feldman, Gerald George. "Upgrade decision support model (UDSM) for enterprise systems : drivers and processes." Thesis, Birmingham City University, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.669669.

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Enterprise Systems (ES) have matured over the years, offering continuous improvement to the underlying technology and functionality, hence, it is reasonable to anticipate that organisations would upgrade their systems to realise the benefits of these improvements. However, the range of benefits and risks involved within upgrade projects, motivates only few organisations to upgrade; indicating that upgrade decision-making is not trivial, and requires a comprehensive consideration of the impacts, efforts, and benefits. To date, research on ES upgrade recommends practical guidance for managing and supporting upgrade projects, with few studies focusing on upgrade decision-making, yet the upgrade decision process remains one of the areas in post-implementation that is least explored. This research investigates the interrelated aspects of ES upgrade phenomena to explore the drivers and decision processes. A qualitative survey design was adopted to explore ES upgrade decision-making process and through web-based questionnaires and semi-structured interviews, qualitative data from 41 respondents representing 23 organisations was collected, coded, and analysed. Drawing from the Technology-Organisation-Environment (T-O-E) framework and process view of decision-making to theorise the findings, this research proposes an Upgrade Decision Support Model (UDSM) to represent ES upgrade decision-making process. The model comprises of two phases namely exploration and evaluation. The evaluation phase consists of two processes, which are objective assessment and strategy selection. In addition, objective assessment includes three sub-processes these are technical analysis, functional gap-fit analysis, and impact assessment. The study findings indicate that the decision to upgrade is an outcome of understanding the upgrade need, possible impacts, and benefits. Thus, asserting the importance of assessing the level of change, effort required and modifications to be reapplied prior to the upgrade decision. Additionally, the findings advocate that there is a relationship between upgrade drivers and the selection of an upgrade strategy, which guides the processes undertaken during the decision-making. This research contributes key insights on ES upgrade decision-making offering a thorough understanding of the drivers and processes. In addition, it presents decision makers with a methodical strategy for approaching upgrade decisions; hence, enables the identification of possible challenges and measures to overcome these issues.

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