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1
THOME, ANTONIO MARCIO TAVARES. "SALES AND OPERATIONS PLANNING IMPACT ON MANUFACTURING OPERATIONAL PERFORMANCE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=23836@1.
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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
Esta tese aborda o tema de Planejamento de Vendas e Operações, designado pelo acrônimo inglês de SeOP (Sales and Operations Planning). Trata-se de um campo recente em Gerência de Operações. SeOP é definido como um processo interfuncional e integrado de planejamento tático e como um conjunto coeso de práticas gerenciais que unificam diferentes planos de negócios (vendas, marketing, desenvolvimento de novos produtos, manufatura, compras e finanças) em um conjunto de planos integrados internamente e na cadeia de suprimentos, com a finalidade de criar valor e impacto no desempenho das empresas. Objetiva equilibrar oferta e demanda em nível de produtos e famílias de produtos, com um horizonte de planejamento que coincide com o ciclo de planejamento estratégico dos negócios. A eficiência do processo é medida e avaliada para melhoria continua. Compreende um conjunto coeso de práticas gerenciais, direcionado a incentivar o alinhamento horizontal (entre funções) e vertical (do plano de negócios a operações), na empresa e na cadeia de suprimentos. O objetivo da tese é duplo: proceder a uma revisão sistemática e abrangente da literatura em SeOP; avaliar o impacto dos processos e das práticas de SeOP no desempenho operacional da manufatura. A revisão bibliográfica sobre SeOP foi feita a partir das bases de dados eletrônicas EBSCO, Emerald e SCIENDIRECT. Ao todo 271 resumos e 55 textos completos foram revistos e classificados em um quadro conceitual de referência, que relaciona variáveis contextuais, de entrada (inputs), objetivos, estruturas e processos, resultados intermediários e resultados finais do SeOP. Foi constatada a ausência de sínteses anteriores da literatura sobre o tema e uma grande disparidade de conceitos e modelos de maturidade do SeOP, que impossibilitaram a análise estatística dos resultados publicados (meta-análise). Uma síntese sistematizada da literatura foi apresentada. Notou-se igualmente que existem poucos artigos científicos rigorosos que demonstrem o impacto das práticas de S&OP no desempenho das empresas. Ainda mais raros são os estudos empíricos baseados em teorias de gerência de operações. A verificação empírica do impacto das práticas de SeOP interno e de integração na cadeia de suprimentos com fornecedores e com clientes foi realizada com modelos de equações estruturais e de regressão múltipla passo a passo. A base de dados da Pesquisa Internacional de Estratégia da Manufatura (IMSS-V), reagrupando 725 empresas de 34 países foi utilizada na análise. A formulação dos modelos baseou-se na teoria de contingência estrutural. O efeito do SeOP (medido pelo coeficiente de regressão) no desempenho operacional da manufatura foi positivo e consistente para as dimensões da qualidade, flexibilidade e entregas, situando-se no intervalo entre 0,26 e 0,36. Contatou-se igualmente que a integração com fornecedores e as tecnologias de processo na manufatura são moderadoras do impacto no desempenho em todas as dimensões de desempenho e que a tecnologia de produtos modera o desempenho em termos de qualidade. Conclui-se que há uma necessidade de aprofundar a agenda de pesquisas com estudos empíricos baseados em teorias de gerência de operações na manufatura em diferentes contextos e indústrias, de estender e aprofundar a análise do SeOP na cadeia de suprimento, assim como de conduzir estudos de casos. A principal implicação prática do estudo resulta dos fatores contingenciais do impacto do SeOP no desempenho. A indústria ganharia a conduzir processos e práticas de SeOP de forma concomitante com a integração com fornecedores na cadeia de suprimento e a adoção de tecnologias de processo e de produtos que sejam adequadas ao ambiente no qual atua.
Sales and Operations Planning (SandOP) is a new and growing research field in Operations Management. The thesis intends to: (i) provide a comprehensive research synthesis of the extant literature on SandOP; and (ii) explore SandOP impact on manufacturing operational performance dimensions of quality, delivery and flexibility, informed by structural contingency theory. A synthesis framework was proposed. Due to disparate concepts and measurements, the field is not yet ripe for meta analysis. There is also a paucity of rigorous empirical research in the impact of SandOP on manufacturing operational performance, anchored in Operations Management theories. Data from 725 metal products and machinery manufacturers (ISIC 3.1, code 28-35) in 34 countries from the fifth round of the International Manufacturing Strategy Survey was used for hypotheses tests. Scales were validated with confirmatory factor analysis and analyzed with stepwise multiple regression. SandOP effect size on quality, delivery and flexibility was on the 0.26 - 0.36 range, after controlling for economic development, market dynamics and firm size. Supply Chain integration with suppliers and manufacturing process technology moderate SandOP impact on all three performance dimensions. Product technology moderates quality but not delivery or flexibility. Misfit of process technology, cross functional team work and product technology adversely affect performance. Practitioners should simultaneously pursue SandOP implementations, integration with suppliers and use of adequate technology to boost performance. Further research should focus on theory validation, case studies and survey research on SandOP.
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Jordan, Michael S. "The Effect Of Organizational Knowledge Creation On Firm Performance: An Operational Capabilities-Mediated Model." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/bus_admin_diss/4.
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What operational factors can explain the performance differences between manufacturing firms? Scholars have produced a significant volume of research that examines the linkages between operational factors (resources and practices) and firm performance. There is agreement that organizational capabilities mediate the relationship between operational factors and firm performance. However, due to the numerous and sometimes contradictory definitions of organizational capabilities in the literature and because organizational capabilities includes non-operational factors, it has been suggested that operational capabilities, as a sub construct of organizational capabilities, is more appropriate for establishing an empirical relationship between operational factors and firm performance. Scholars have argued that process improvement practices facilitate the development of operational capabilities, which can consequently lead to improved firm performance. Other scholars have argued that process improvement practices facilitate organizational knowledge creation, which can also influence firm performance. We integrate these two theoretical perspectives into a single conceptual model that better explains the relationship between knowledge-creating practices and firm operational performance. Specifically, we argue that knowledge-creating practices play a significant role in developing a firm’s operational capabilities, which in turn, influence firm operational performance. This research investigates the existence of a relationship between organizational knowledge creation and firm operational performance that is mediated by operational capabilities.
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Huang, Rui. "Dynamic rating for improved operational performance." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/387369/.
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Many power transmission systems are under pressure from increasing load demand as well as changes in power flows due to the evolution of the power market and the integration of renewable energy generations. At the same time, limited finance for installing new cables and the difficulties in reinforcement of existing circuits in urban areas incentivize transmission operators around the world to find ways to maximize the flexibility and usage of their existing transmission network. As a result, it is crucial to adopt new current rating methods which are able to optimize asset utilization, minimize risk and reduce the constraint costs incurred by transmission system operators. Historically, most cable thermal ratings are continuous ratings, with fixed seasonal values for a certain cable circuit. They are based on worst-case assumptions and are not able to consider the real-time environmental conditions. The ignorance of the real-time change in environmental conditions, which control the rate of heat dissipation from the cable, makes continuous ratings generally conservative. However, the rating values can also be optimistic for some extreme situations such as thermal runaway in the soil around the cables, which might cause overheating. Several dynamic rating systems have been applied to the existing underground cable in practice by using online monitoring data. Some worst case assumptions used in conventional cable rating standards have been removed. Such systems have been reported to deliver increases of 5-20% in cable current capacity. However, most existing dynamic rating systems can only determine a short-term rating at the current time step. It would be valuable for transmission operators to know the short-term rating in advance to assist in day-ahead planning. To solve this problem, a predicted rating system, which is capable of providing network operators with accurate short term current ratings at the day ahead stage, has been developed in this work. This novel cable rating concept integrates a day-ahead load forecasting system into the dynamic rating system to provide the time-limited short-term rating calculated forward from any point within the next 24 hours. Some shortcomings of existing rating methods for different kind of insulated cable installations have been detected and overcome. More suitable models have been built, compromising between accuracy and solution speed to fit them into the predicted rating system. A day-ahead load forecasting system has been built by using the Support Vector Regression (SVR) method. Dynamic thermal models are used to translate the load prediction into thermal prediction 24 hours ahead. Thus, the time-limited short-term ratings can then be calculated 24hrs ahead, based on the predicted load data and cable temperature data. In addition, an error estimation system has been integrated to estimate the predicted conductor temperature error quickly, thus increases the reliability of the predicted rating system. Utilizing this predicted rating system has the double benefit of reducing variations in dynamic ratings (which makes them difficult to plan with), while reducing the risk of thermally overloading the cable, thus prematurely ageing the dielectric. For a large scale transmission network, the dynamic rating and predicted rating systems for all the cable circuits might require huge amounts of computation and very long solution times, which make their application impractical and infeasible. The idea of using a machine learning method, such as Support Vector Regression, has been shown to dramatically reduce the solution time for dynamic rating calculations.
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Callahan, Jeremy. "Metrics of METOC forecast performance and operational impacts on carrier strike operations." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Sep%5FCallahan.pdf.
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Thesis (M.S. in Meteorology and Physical Oceanography)--Naval Postgraduate School, September 2006.Thesis Advisor(s): Tom Murphree, Rebecca Stone. "September 2006." Includes bibliographical references (p. 61-62). Also available in print.
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Kyriakidis, Miltos. "Developing a human performance railway operational index to enhance safety of railway operations." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/21760.
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The railway system is a complex network that involves continuous interaction of human operators with technology, procedures and regulations to ensure safe and efficient operations. From an architectural perspective, the complexity of the interactions presents a risk of failure with the consequence that safety incidents and accidents may occur. The common approach to the development of measures for mitigating such occurrences is the retrospective analysis of accidents and incidents; in order firstly to identify, classify and acknowledge the contributing factors and secondly, to suggest mitigation strategies. Research undertaken globally using retrospective analysis indicates that a large number of railway accidents and incidents are associated with human errors due to degraded human performance. In particular, it has been shown that train operators (drivers, signallers and controllers) account for the majority of accidents and incidents. For example, between 1990 and 2009, at least 75% of fatal railway accidents in Europe were due to excessive speed, signal passed at danger or signalling/dispatching errors. There has been a significant research effort to examine, identify and understand the factors that affect human performance in railway operations, so as to prevent conditions related to degrade performance and to reduce the probability of human errors. However current methods, developed on the principles of Human Reliability Analysis (HRA), are based on research from other domains, including nuclear, oil and gas, and aviation. Hence, they are not suited to the rail industry and can be difficult to apply reliably to railway specific operations. Moreover, in the case of the factors that affect human performance, current methodologies have either adopted lists of factors from other domains or slightly modified existing lists, and then applied them to the railway industry. In addition, even in the cases where the lists of factors have been modified, such alterations have been designed on the basis of regional accident and incident analysis. Although the number of factors that influence performance can be claimed to be limited, e.g. fatigue, training, organisational culture and system design, the analysis of only regional occurrences does not provide analysts with a worldwide perspective of the significance of factors on human performance. Therefore, this thesis addresses the current limitations and proposes a new framework to identify the factors that affect the performance of railway operators, and assess human performance. In particular, this thesis developed for the first time a novel and comprehensive taxonomy for railway operations, referred to as the Railway-Performance Shaping Factors (R-PSFs) taxonomy. The taxonomy is derived from a variety of sources including: extensive literature review, operators' hierarchical task analysis, and the analysis of global accidents and incidents. Subject matter experts validated the taxonomy. Results identified 43 contributing factors, whilst further statistical analysis indicates that 12 out of 43 factors are responsible for more than 90% of total occurrences regardless of the type of network, responsibility and severity of consequences. Unlike current taxonomies, the framework developed accounts for both the influence of each individual factor and the dynamic interactive influence of the factors due to their mutual dependencies. It is recommended that the R-PSFs taxonomy be used by railway stakeholders to enhance the Safety Management Systems of their organisation. In addition the taxonomy can be used as part of the training program of the organisations in order to inform and engage the railway personnel with respect to the factors that primarily affect their performance. Finally, the taxonomy is recommended for use by the investigator stakeholders to obtain information about the human aspect that may have led to railway occurrences. This thesis also developed, tested and validated a framework, referred to as the Human Performance (HuPeROI) to enhance safety in railway operations. Based on the 12 largest contributing factors, the HuPeROI is a novel scheme to assess human performance, as function of the various R-PSFs. The HuPeROI for the first time introduces an approach to quantify the impact of each of the factors that affect human performance accounting for all the dependencies amongst those factors. HuPeROI has been developed by integrating the generic concept of two techniques, the Analytic Network Process and the Success Likelihood Index Methodology (SLIM). The former is one of the best known and widely used multi-criteria decision making techniques and was used to evaluate the influence of each R-PSF on operators' performance. SLIM was applied to rate the importance of each of the R-PSFs for different operational actions and finally to estimate the reliability index for these actions. The HuPeROI framework was demonstrated in a case study in three different types of railway operations: regional, high-speed and underground, and helps to define the influence of each individual factor on human performance as well as to indicate the relative likelihoods of different human errors. Finally, both the R-PSFs taxonomy and HuPeROI can be transferred and used with minor modifications not only in other railway procedures, e.g. maintenance, but also domains, e.g. aviation, maritime and oil.
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Greatbanks, R. W. "Performance measurement in SMEs : an operational perspective." Thesis, University of Manchester, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488247.
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Alher, Fabio. "A strategic model of operational performance improvement." Thesis, University of Warwick, 1998. http://wrap.warwick.ac.uk/4307/.
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Performance improvement is the natural objective of any intervention in the organisation. Performance improvement in operational terms is particularly interesting when it is able to influence the competitive position of the firm. By being able to deliver superior value and/or offer prices through lower costs a firm will increase customer satisfaction and loyalty and potentially increase its market share and profitability. This research explores the determinants of strategic operational performance improvement, the particular questions we address are: 1) What characterise the process in which the firm achieves operational performance that is strategically significant?, and 2) Why once advantage is achieved, it is not automatically replicated? The manufacturing strategy model and the literature associated with the resource-based theory provide the theoretical foundations of this work, although the link between the two literatures is problematic because their fundamentals are usually at odds. Because the nature of the work is exploratory, and its purpose is one of theory building, we build a model of strategic operational improvement through grounded research. Four case studies are studied and analysed in order to test and improve the model. The results provide a number of insights on the role of managerial rationality, managerial behaviour, and the relationship between managerial and workers behaviour. We are also able to address a number of questions on the nature of strategy in operations. The final product of this thesis is model that relates the processes in the organisation to the firm's initial conditions to explain the evolution of performance. Empirical evidences suggest that the strategic improvement of operational performance depends on the sequence evolution of initial conditions, managerial behaviour, and organisational behaviour. It is argued that by understanding the relationships in this model it is possible to develop more effective operations processes which are able to deliver superior value and or lower costs.
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Scarpin, Marcia Regina Santiago. "Operational capabilities’ typology: an evolution from operational practices." reponame:Repositório Institucional do FGV, 2016. http://hdl.handle.net/10438/16609.
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Operational capabilities are characterized as an internal resource of the firm and source of competitive advantage. However, the literature of operations management provides inadequate constitutive definitions of operational capabilities, does not cover the relativization to different contexts, has limited empirical grounding, and does not adequately explores the more extensive empirical literature on operational practices. When practices are operationalized in the internal environment of the firm, they can be incorporated as organizational routines, and through the pre-existing tacit knowledge of production, become operational capabilities, thus creating barriers to imitation. But, a few scholars have explored operational practices as an antecedent of operational capabilities. Based on this review, we investigated about nature of operational capability; the relationship between operational practices and operational capabilities; types of operational capabilities characterized in the firm’s internal environment; and the impact of the operational capabilities on operational performance. Therefore, we conduct a mixed methods research. In qualitative stage, we conducted case studies in four firms, two multinational American firms operating in Brazil and two local Brazilian firms. We collected data through semi-structured interviews with open-ended questions, based on our theoretical review of operational practices and operational capabilities. The interviews were conducted face-to-face. In total, 73 interviews were performed in four different firms (21 - first case, 18 - second case, 18 - third case, 16 – fourth case). All interviews were recorded and transcribed literally in NVivo software. In quantitative stage, the sample was composed of 206 firms. The questionnaire creation involved an extensive review of the literature and also the use of the results of the analysis of the qualitative phase data. Q-sort was performed. Pre-test was administered to production managers. Measures were conducted to reduce Common Method Variance. A total of ten scales were used: 1) Continuous Improvement; 2) Information Management; 3) Learning; 4) Customer Support; 5) Innovation; 6) Operational Efficiency; 7) Flexibility; 8) Customization; 9) Supply Management; and 10) Operational Performance. We use Confirmatory Factor Analysis to conducted reliability, content, convergent, and discriminant validity. The data were analyzed using regressions. Our main results were: First, relate the operational practices as an antecedent of operational capabilities. Second, the creation of a typology divided into two constructs. The first construct is called Standalone Capabilities. This group consists of zero order capabilities such as Customer Support, Innovation, Operational Efficiency, Flexibility, Customization, and Supply Management. These capabilities aim to improve operational processes of the firm. They have a direct relationship with operational performance. Second construct is called Across-the-Board Capabilities. It is composed of first order capabilities such as Learning, Continuous Improvement, and Information Management. These capabilities are considered dynamic and they have the role to reconfigure Standalone Capabilities.
Operational capabilities são caracterizadas como um recurso interno da firma e fonte de vantagem competitiva. Porém, a literatura de estratégia de operações fornece uma definição constitutiva inadequada para as operational capabilities, desconsiderando a relativização dos diferentes contextos, a limitação da base empírica, e não explorando adequadamente a extensa literatura sobre práticas operacionais. Quando as práticas operacionais são operacionalizadas no ambiente interno da firma, elas podem ser incorporadas as rotinas organizacionais, e através do conhecimento tácito da produção se transformar em operational capabilities, criando assim barreiras à imitação. Apesar disso, poucos são os pesquisadores que exploram as práticas operacionais como antecedentes das operational capabilities. Baseado na revisão da literatura, nós investigamos a natureza das operational capabilities; a relação entre práticas operacionais e operational capabilities; os tipos de operational capabilities que são caracterizadas no ambiente interno da firma; e o impacto das operational capabilities no desempenho operacional. Nós conduzimos uma pesquisa de método misto. Na etapa qualitativa, nós conduzimos estudos de casos múltiplos com quatro firmas, duas multinacionais americanas que operam no Brasil, e duas firmas brasileiras. Nós coletamos os dados através de entrevistas semi-estruturadas com questões semi-abertas. Elas foram baseadas na revisão da literatura sobre práticas operacionais e operational capabilities. As entrevistas foram conduzidas pessoalmente. No total 73 entrevistas foram realizadas (21 no primeiro caso, 18 no segundo caso, 18 no terceiro caso, e 16 no quarto caso). Todas as entrevistas foram gravadas e transcritas literalmente. Nós usamos o sotware NVivo. Na etapa quantitativa, nossa amostra foi composta por 206 firmas. O questionário foi criado a partir de uma extensa revisão da literatura e também a partir dos resultados da fase qualitativa. O método Q-sort foi realizado. Um pré-teste foi conduzido com gerentes de produção. Foram realizadas medidas para reduzir Variância de Método Comum. No total dez escalas foram utilizadas. 1) Melhoria Contínua; 2) Gerenciamento da Informação; 3) Aprendizagem; 4) Suporte ao Cliente; 5) Inovação; 6) Eficiência Operacional; 7) Flexibilidade; 8) Customização; 9) Gerenciamento dos Fornecedores; e 10) Desempenho Operacional. Nós usamos análise fatorial confirmatória para confirmar a validade de confiabilidade, conteúdo, convergente, e discriminante. Os dados foram analisados com o uso de regressões múltiplas. Nossos principais resultados foram: Primeiro, a relação das práticas operacionais como antecedentes das operational capabilities. Segundo, a criação de uma tipologia dividida em dois construtos. O primeiro construto foi chamado de Standalone Capabilities. O grupo consiste de zero order capabilities tais como Suporte ao Cliente, Inovação, Eficiência Operacional, Flexibilidade, e Gerenciamento dos Fornecedores. Estas operational capabilities têm por objetivo melhorar os processos da firma. Elas têm uma relação direta com desempenho operacional. O segundo construto foi chamado de Across-the-Board Capabilities. Ele é composto por first order capabilities tais como Aprendizagem Contínua e Gerenciamento da Informação. Estas operational capabilities são consideradas dinâmicas e possuem o papel de reconfigurar as Standalone Capabilities.
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Coates, Graham. "An approach to operational design co-ordination." Thesis, University of Newcastle Upon Tyne, 2001. http://hdl.handle.net/10443/1571.
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Design co-ordination is aimed at improving the performance of the design development process. It can be viewed as providing the continuous coherent organisation and control of the assignment of inter-related tasks to the most relevant resources such that they can be undertaken and completed in a suitable order in a timely and appropriate manner. The nature of operational design co-ordination is discussed resulting in the identification of key issues, i. e. coherence, communication/interaction, task management, resource management, schedule management and real-time support. Based on these key issues, existing approaches related to operational engineering management have been critically reviewed and found to exhibit a number of fundamental limitations. In addition, aimed at addressing the key issues identified and overcoming the limitations of existing approaches, a set of requirements have been established that define an approach to operational design co-ordination. A novel, integrated and holistic approach to operational design co-ordination has been developed enabling the performance of the design development process to be improved. This approach consists of two components: a methodology and a knowledge modelling formalism. Further, the methodology consists of two parts: real-time and prospective. Real-time operational design co-ordination enables the coherent, timely and appropriate structured undertaking of inter-related tasks while continuously optimising the utilisation of the resources, in accordance with dynamically derived schedules, within a changeable design development process. Prospective operational design co-ordination facilitates the identification of deficiencies in terms of existing resources with respect to scheduled tasks and, thus, the assessment of proposed improvements to the resources. The knowledge modelling formalism of tasks, resources and schedules supports the methodology. Three practical case studies from engineering industry have been used to evaluate the approach. A prototype agent-oriented system, called the Design Co-ordination System, has been developed to evaluate the implementation of the real-time part of the methodology by applying it to a turbine blade design process. The prospective part of the methodology has been applied to practical case studies concerning a marine vessel conversion design programme and a rotary drum dryer design development process. Based on the evaluation of the approach, its strengths and weaknesses have been identified. Finally, areas of possible future work have been recommended to improve the approach and develop the Design Co-ordination System. In addition, based on industrial feedback, further applications of the approach have been suggested.
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Tipirisetty, Venkat Sivendra. "Performance Analysis of Service in Heterogeneous Operational Environments." Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13348.
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In recent years there is a rapid increase in demand for cloud services, as cloud computing has become a flexible platform for hosting microservices over the Internet. Microservices are the core elements of service oriented architecture (SOA) that facilitate the deployment of distributed software systems. As the user requires good quality of service the response time of microservices is critical in assessing the performance of the application from the end user perspective.This thesis work aims at developing a typical service architecture to facilitate the deployment of compute and I/O intensive services. The work also aims at evaluating the service times of these service when their respective subservices are deployed in heterogeneous environments with various loads.The research work has been carried out using an experimental testbed in order to evaluate the performance. The transport level performance metric called Response time is measured. It is the time taken by the server to serve the request sent by the client. Experiments have been conducted based on the objectives that are to be achieved.The results obtained from the experimentation contain the average service times of a service when it is deployed on both virtual and non-virtual environment. The virtual environment is provided by Docker containers. They also include the variation in position of their subservices. From results it can be concluded that the total service times obtained are less in case of non-virtual environments when compared to container environment.
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Sorensen, Khalid Lief. "Operational Performance Enhancement of Human Operated Flexible Systems." Diss., Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24773.
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Recent decades have been witness to explosive leaps in manufacturing productivity. Advances in communication technology, computing speed, control theory, and sensing technology have been significant contributors toward the increased productivity and efficiency that industry has exhibited. The continued growth of technological equipment and engineering knowledge challenges engineers to fully utilize these advancements in more sophisticated and useful automation systems.
One such application involves enhancing bridge and gantry crane operation. These systems are used throughout the globe, and are critical aspects of industrial productivity. Consequently, improving the operational effectiveness of cranes can be extremely valuable.
Effective control of cranes can be largely attributed to two distinct, but related aspects crane manipulation: 1) the expertise of operators, which are responsible for issuing commands to the structures, and 2) the dynamic properties of cranes, which influence how the structures respond to issued commands. Accordingly, the operational efficiency of cranes can be influenced by changing both the way that operators issue commands to cranes, and also how the crane responds to issued commands.
This thesis is concerned with dynamic control theory of flexible machines, and human/machine interaction, especially as these areas relate to industrial crane control. In the area of dynamic control, this thesis investigates control strategies that are specifically suited for use on systems that possess common actuator nonlinearities, like saturation, rate limiting, dead-zone, backlash, and finite-state actuation. In the area of human/machine interaction, this thesis investigates the effects of different crane interface devices on the operational efficiency of cranes.
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McDevitt, Liam. "Performance measurement and management at the operational level." Thesis, University of Strathclyde, 2005. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21611.
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This thesis describes an empirical investigation of performance measurement management at the operational level of five organizations, ranging in size from annual revenues of under US$100 million to over US$8 billion. In attempting to identify what advice there is for operational level managers, the literature review revealed that much of the existing research does not specifically address the operational level and does not consider the distinct characteristics of the operational level. An additional literature review identified that the operational level characteristics include a real-time, short-term focus, having many brief and fragmented activities and being frequently interrupted. An empirical investigation was undertaken to investigate the characteristics of the operational level and to identify how managers at this level manage the performance of their groups. The empirical data revealed that operational level characteristics identified in the literature were valid for the participants. In particular, the participating operational level managers face severe time constraints and are responsible for as many as 75 activities at one time, all of which require objectives and measures. The conclusion drawn was that any method used to develop objectives and measures by the participating operational level managers would be used many times and should be simpler and quicker to use than those methods described in the literature. The most thorough method described in the literature was identified and selected as the basis for a set of guidelines, which was then evaluated by the participants. The conclusions from the evaluation were that the guidelines are correct, in principle, but were still not simple enough to be used by the participants. The fmdings of this research can only be said to be valid for the participants, however, the author believes that they may be more widely applicable. Further research is needed to determine how widely the findings might apply.
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SOUZA, PRISCILA MARTINEZ DE. "COLLABORATIVE DEMAND PLANNING: INTEGRATION WITH IMPROVED OPERATIONAL PERFORMANCE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=22027@1.
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Este trabalho acadêmico tem como objetivo oferecer um guia de
planejamento de demanda para uma indústria de médio porte por meio de
colaboração de várias áreas dos processos decisórios, tais como departamentos
chave da empresa, fornecedores e clientes. Propor metodologia formal para ajudar
no balanceamento da oferta e demanda, promover a troca de informações dentro e
fora da organização, otimizar o uso de recursos materiais e financeiros, e
consequentemente, melhorar o resultado do retorno sobre o investimento.
Observa-se no mercado que as pesquisas e práticas de planejamento colaborativo
de demanda são direcionadas apenas para as grandes organizações, deixando
assim as demais empresas sem referência. Logo, este trabalho tem a pretensão de
contribuir com as empresas de médio porte, oferecendo soluções adaptadas para
tratamento das causas das dificuldades e falhas de planejamento da demanda. A
dissertação baseou-se em estudo de caso, dados de fontes primárias extraídos de
sistemas de informação da empresa em estudo, entrevistas com funcionários
envolvidos neste processo, visitas in loco para observação direta, e pesquisas
bibliográficas que proporcionaram fundamento teórico. O foco da proposta de
melhoria fundamenta-se nos conceitos e práticas de Sales and Operations
Planning (SeOP) ou Planejamento de Vendas e Operações, como planejamento
colaborativo interno para melhoria da conexão das áreas funcionais da empresa. O
planejamento colaborativo externo para aperfeiçoamento da interface da empresa
com fornecedores e clientes completa a proposta por meio dos conceitos e práticas
adaptadas do Collaborative Planning, Forecasting and Replenishment (CPFR) ou
Planejamento Colaborativo, Previsão e Reabastecimento.This academic work is intended to provide a guide for planning demand for a medium size industry through collaboration in various areas of decision making, such as key company departments, suppliers and customers. This Masters thesis proposes a formal methodology to assist in balancing supply and demand, promotes the exchange of information within and outside the organization, optimizes the use of material and financial resources and consequently improves the return on investments. It is observed in market research and planning practices thats collaborative demand is directed only to large organizations, thus leaving other companies without reference. Therefore, this work intends to contribute with midsize companies, offering solutions tailored to treat the causes of the difficulties and failures of demand planning. The dissertation was based on a case study data from primary sources drawn from the information systems of the company under study, interviews with officials involved in this process, site visits for direct observation, and literature searches that provided theoretical foundation. The focus of the proposed improvement is based on the concepts and practices of Sales and Operations Planning (SandOP), and collaborative planning to improve the internal connection of the functional areas of business. Collaborative planning for improving the external interface with the companys suppliers and customers complete the proposal through the concepts and practices adapted from the Collaborative Planning, Forecasting and Replenishment (CPFR).
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FERNANDEZ, PAULA SUCLLA. "DESIGN-MANUFACTURING INTEGRATION IMPACT ON MANUFACTURING OPERATIONAL PERFORMANCE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26826@1.
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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
Esta dissertação aborda o tema de Integração de Projeto e Manufatura, designado pelo acrônimo inglês de DMI (Design-Manufacuring Integration). Trata-se de um novo e crescente campo de pesquisa dentro da Gerência de Operações. DMI é definido como um conjunto de práticas de integração, coordenação e colaboração, que unificam diferentes áreas funcionais da organização (e.g., vendas, marketing, desenvolvimento de novos produtos, manufatura e compras) com a finalidade de criar valor e impacto no desempenho das empresas. Nas últimas décadas, as organizações estão enfrentando uma feroz concorrência e competem simultaneamente em qualidade, eficiência, flexibilidade e entrega de produtos cada vez mais complexos, com ciclos de vida mais curtos e demandas flutuantes. Por conseguinte, requerimentos de sistemas de planejamento e controle em empresas de manufatura são cada vez mais complexos. Esse contexto levanta a seguinte questão de pesquisa: Em diferentes contextos do ambiente em que se desenvolve a organização, as práticas de integração produzem o mesmo impacto sobre o desempenho? Resultados da pesquisa apontam para uma escassez de pesquisas empíricas rigorosas sobre o impacto do DMI no desempenho operacional da manufatura, sob a lente de efeitos moderadores da incerteza do mercado e da complexidade do mercado. Incerteza é entendida como a falta de habilidade de predizer ou prever devido à aleatoriedade do ambiente externo, que não pode ser alterado pelas ações das empresas individuais ou gerentes; e complexidade é entendido como sendo o estado ou qualidade de ser intricado ou complicado. O objetivo principal da Dissertação é identificar e medir o impacto do DMI sobre o desempenho operacional da manufatura, sob o efeito moderador da Complexidade da manufatura e da Incerteza do mercado. Os dados de 725 produtos da indústria de metal e fabricantes de máquinas (ISIC 3.1, código 28-35) foram obtidos em 21 países a partir da quinta rodada do International Manufacturing Strategy Survey e foram usados para testes das hipóteses. As escalas foram validadas por meio da análise fatorial confirmatória e analisadas com regressão múltipla hierárquica passo a passo. DMI impacta positivamente em três dimensões do desempenho operacional da manufatura (qualidade, flexibilidade e entregas). Complexidade da manufatura modera a flexibilidade e entrega, mas não a qualidade. A incerteza do mercado não apareceu como um moderador para a relação entre a DMI e desempenho operacional da manufatura. Profissionais devem perseguir implementações do DMI, em níveis mais elevados de complexidade de manufatura. Mais pesquisas devem se concentrar na incerteza do mercado, e fortalecer o construto de incerteza com a incerteza tecnológica.
Design-Manufacturing Integration (DMI) is a new and growing research field in Operations Management. The primary goal of the Dissertation is to identify and measure the DMI impact on manufacturing operational performance. The research findings point to a paucity of rigorous empirical research on the impact of DMI on manufacturing operational performance under the lens of moderating effects of market uncertainty and market complexity. Data from 725 metal products and machinery manufacturers (ISIC 3.1, code 28-35) in 21 countries from the fifth round of the International Manufacturing Strategy Survey was used for hypotheses tests. Scales were validated with confirmatory factor analysis and analyzed with hierarchical stepwise multiple regressions. DMI positively impact on the three dimensions of manufacturing operational performance (quality, flexibility, and delivery). Manufacturing complexity moderates flexibility and delivery but not quality. Market uncertainty did not appear as a moderator for the relationship between DMI and manufacturing operational performance. Practitioners should pursue DMI implementations, under higher levels of manufacturing complexity. Further research should focus on market uncertainty, and strengthen the construct of uncertainty with technological uncertainty.
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Konduru, Prathisrihas Reddy. "Performance Analysis of Service in Heterogeneous Operational Environments." Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13385.
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Context. In recent years there is a rapid increase in demand for cloud services, as cloud computing has become a flexible platform for hosting micro services over the Internet.~Micro services are the core elements of service oriented architecture (SOA) that facilitate the deployment of distributed software systems. Objectives. This thesis work aims at developing a typical service architecture to facilitate the deployment of compute and I/O intensive services. The thesis work also aims at evaluating the service times of these services when their respective sub services are deployed in heterogeneous environments with various loads. Methods. The thesis work has been carried out using an experimental test bed in order to evaluate the performance. The transport level performance metric called Response time is measured. It is the time taken by the server to serve the request sent by the client. Experiments have been conducted based on the objectives that are to be achieved. Results. The results obtained from the experimentation contain the average service times of a service when it is deployed on both virtual and non-virtual environments. The virtual environment is provided by Docker containers. They also include the variation in the position of their sub services. Conclusions. From results, it can be concluded that the total service times obtained are less in the case of non-virtual environment when compared to container environment.
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Kettner, Claudia, Angela Köppl, and Sigrid Stagl. "Towards an operational measurement of socio-ecological performance." European Commission, bmwfw, 2014. http://epub.wu.ac.at/4718/1/WWWforEurope_WPS_no052_MS29.pdf.
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Questioning GDP as dominant indicator for economic performance has become commonplace. For economists economic policy always aims for a broader array of goals (like income, employment, price stability, trade balance) alongside income, with income being the priority objective. The Stiglitz-Sen-Fitoussi Commission argued for extending and adapting key variables of macroeconomic analysis.
International organisations such as the EC, OECD, Eurostat and UN have proposed extended arrays of macroeconomic indicators (see 'Beyond GDP', 'Compendium of wellbeing indicators', 'GDP and Beyond', 'Green Economy', 'Green Growth', 'Measuring Progress of Societies'). Despite these high profile efforts, few wellbeing and environmental variables are in use in macroeconomic models. The reasons for the low uptake of socio-ecological indicators in macroeconomic models range from path dependencies in modelling, technical limitations, indicator lists being long and unworkable, choices of indicators appearing ad hoc and poor data availability. In this paper we review key approaches and identify a limited list of candidate variables and - as much as possible - offer data sources.Series: WWWforEurope
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Xu, Changyi. "Operational dependability model generation." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI129.
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L'objectif à long terme des ingénieurs et des chercheurs est d'évaluer la fiabilité des systèmes industriels complexes. Les évaluations de la sécurité fondées sur des modèles effectuées ces dernières années, en particulier les études d'analyse structurelle et de modélisation des composants, fournissent des méthodes pratiques d'évaluation de la fiabilité,Toutefois, l'absence d'un cadre permettant d'évaluer simultanément la structure et les comportements des différents éléments d'un modèle unifié n'a pas permis d'obtenir d'excellentes évaluations. En outre, les opérations du système n'étant pas pris en compte dans le modèle, il n'est pas possible d'évaluer la qualité et la quantité du service en termes de fiabilité du opérations. Cette invention concerne un procédé de génération de modèle formalisé qui permet d 'évaluer la fiabilité du fonctionnement du système en tenant compte de sa structure, de ses divers comportements et de ses opérations. La composition du modèle de composant est introduite pour générer un modèle global du système. Afin de tenir pleinement compte de la structure du système, l 'état total de défaillance du système est déterminé sur la base de l' expression de défaillance obtenue. Sur le plan qualitatif, la fiabilité opérationnelle est encore renforcée par l'application des spécifications de trajectoire.Et, Sur le plan quantitif, il est renforcée par la mise au point d'une technique d'évaluation des coûts appelée arbre de calcul de capacité. Enfin, l'exemple d'un système industriel illustre l'énorme potentiel qu'offre l'étude pour garantir la fiabilité des services fournis par les systèmes industriels complexesAssessing complex industrial systems to be on dependable service is what the engineers and researchers have long been aiming for. Recent advanced researches in the Model-based safety assessment, especially the Structre Analysis and Component Modeling, provide the practicable methodologies to assess the dependability, yet a lack of the framework which is able to assess both the structure and the various behaviors of the components in one uniformed model retains them to achieve the excellent assessment. Moreover, as the system’s operations are not considerable in the models, the service in the aspect of operational dependability is not able to be assessed both in quality and in quantity. Although several existing assessment tools have already show their potential to model the various behaviors in the form of n-state models or consider the operations as repair priority to be event sequence in the model, fusing ‘structure’, ‘various behaviors’ and ‘operations’ is still a challenge, highlighting a need for one viable framework that bridge the gap among them both by quality or quantity. In this research, a formal model generation approach is studied to bridge this gap, which is able to assess the system operatinal dependability by considering the system structure, various behaviors, and operations. Here, the composition of the component models is introduced in order to generate a global model of the system, the total breakdown states are identified according to the resulted failure expression for the purpose to fully consider the system’s structure, and the operational dependability is further realized by quality by applying the trajectory specifications, while by quantity by developing a cost evaluating technology termed Capacity Calculation Fault Tree. In the end, a demonstration of a miniplant system illustrates the wide potential of this research for guaranteeing the dependable service of complex industrial systems
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Cowles, Jennifer Leanne. "A Case Study: Effects of Operational Model Changes on Firm Performance." CSUSB ScholarWorks, 2015. https://scholarworks.lib.csusb.edu/etd/141.
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This project follows the implementation of a new supply fulfillment model for a service organization. Research findings provide evidence that a change in operating model can result in an increase in firm performance. The purpose of this project is to study a real-life example of an organization experiencing an increase in firm performance based on a change in operating model. The project utilizes historical data of growth and average costs to determine the environment for the current year experiencing the change in operating model. It is determined that this study reveals a decrease of order costs, increase in data integrity and standardization, and an increase in overall order quality.
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Agrawal, Vikas R. "Data warehouse operational design : view selection and performance simulation." Toledo, Ohio : University of Toledo, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=toledo1104773641.
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Dissertation (Ph.D.)--University of Toledo, 2005.Typescript. "Submitted as partial fulfillment of the requirements for the Doctor of Philosophy degree in Manufacturing Management and Engineering. " "A dissertation entitled"--at head of title. Title from title page of PDF document. Bibliography: p. 113-118.
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Jitpanya, Kacha. "IEEE 802.11 MAC protocol performance evaluation in operational environments." Thesis, Monterey, California. Naval Postgraduate School, 2002. http://hdl.handle.net/10945/6050.
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Approved for public release, distribution is unlimitedThe IEEE 802.11 MAC protocol is widely used for wireless local area networks. Consequently, it is important to examine the protocol performance in operational environments. This thesis presents a simulation study of the performance of the IEEE 802.11 MAC protocol in multihop, jamming, and mobile node environments. The effects of the request-to-send mechanism and fragmentation in these environments are also studied. The average throughput and delay are obtained from the simulation and these results are then used to analyze the protocol performance.
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MAGON, RENATA BIANCHINI. "SUSTAINABILITY IMPACT ON MANUFACTURING OPERATIONAL PERFORMANCE: AN EMPIRICAL INVESTIGATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=31701@1.
Full textAbstract:
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIROCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO
Dado o surgimento de uma nova ordem econômica, as empresas em todo o mundo perceberam que precisam estar comprometidas com a sustentabilidade. As pressões externas vão desde o governo, com a criação de regulamentações socioambientais, até os empregados e a sociedade - mídia, ONGs e clientes - que estão cada vez mais conectados, atentos e exigentes a essas questões. Empresas sustentáveis devem satisfazer as necessidades do presente (gerar lucro) sem comprometer o futuro (respeitando o meio ambiente e os preceitos de responsabilidade social). A indústria de manufatura, foco dessa dissertação, tem muito a contribuir para a sustentabilidade, pois impacta socio-economico-ambientalmente os locais onde opera, de forma significativa. Geração de gases de efeito estufa e de resíduos tóxicos estão entre os grandes vilões, mas não se limitando a eles. No âmbito interno, as empresas necessitam absorver o conceito de sustentabilidade no seu processo de produção, a partir de práticas de gestão ambiental relacionadas, por exemplo, à otimização do uso dos recursos ambientais (ex. reuso de água e utilização de energias alternativas), à redução de gases poluentes e às alternativas para descarte de resíduos; assim como às práticas de gestão social tais como medidas para aumentar saúde e segurança no ambiente de trabalho e criação de programas ligados ao bem estar dos funcionários. As ações, porém, devem ser ampliadas para toda a cadeia do processo e devem ser adotadas medidas colaborativas com os fornecedores para que sejam comprometidos e também responsáveis. No entanto, para a empresa se tornar sustentável, investimentos adicionais e aumento de custos são necessários para incluir em sua estrutura pessoal e processos responsáveis pelo incremento da sustentabilidade, seja ela econômica, social ou relacionada ao meio ambiente, o chamado triple bottom line, em inglês.
Companies worldwide realized that being committed to sustainability is becoming a source to competitive advantage. Empirical evidence exists in the literature validating a positive link of sustainable manufacturing practices with organizational performance. However, there is a lack of rigorous empirical studies directly examining the impact of both environmental and social practices on operational manufacturing performance, especially in four main competitive operational capabilities: cost delivery, quality, and flexibility. This study analyses these relationships with literature review and the backdrop of the resource-based view and of the natural resource-based view of the firm. For this purpose, structural equation modeling (SEM) is used to build the measurement model and hierarchical stepwise multiple regression is used to test the research hypotheses. The data used were obtained from the sixth round of the International Manufacturing Strategy Survey (IMSS-VI) which includes responses from 931 manufacturing plants within the assembly industry in 22 countries. Our findings suggest that internal and external sustainability management practices are complementary. Manufacturing plants can increase their quality and flexibility performance, by implementing internal sustainable practices, such as water and energy consumption reduction, environmental and social certifications, work/life balance policies and sustainability communication, and can increase their cost efficiency and delivery performance by promoting supplier s sustainability management. Overall, this study contributes to the investigation of strategies for sustainable management, highlighting important implications for both practice and future research.
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AGRAWAL, VIKAS R. "Data Warehouse Operational Design: View Selection and Performance Simulation." University of Toledo / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1104773641.
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Sezalli, Yussef Haji Ali Mirza. "Process and operator performance analysis in process operational safety." Thesis, University of Leeds, 2001. http://etheses.whiterose.ac.uk/810/.
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Abnormal operation of chemical processec sa used by equipment and sensor faults, such as plugging of pipes, control system failure or improper operation by personnel can result in poor product quality, equipment damage, or a catastrophe process failure leading to loss of equipment and worker injury, as well as significant economic losses. It is estimated that the cost attributable to preventable losses in the petrochemical industry only is around several billion pounds per year. Independent studies of case histories by the Health and Safety Commission in the UK and by a Honeywell led industrial consortium in the US and world wide show that human errors represent the major cause of failures. In contrast to this discovery, the majority of pervious studies on computer aided systems for fault detection and diagnosis has focussed on the process side only. It is now widely acknowledged that there is only limited information on how human factors can be assessed and even less that is specific to chemical industry, therefore research is much needed in this area. This study presents a methodology to involve human factors into the development of systems for automatic identification and diagnosis of abnormal operations and develops methods and techniques that can be used to simultaneously capture, characterise and assess the performance of operators as well as of the process. A joint process operator simulation platform was developed which was used as a test-bed for carrying out the studies. The process part is a simulator, which emulates in high fidelity the dynamic behaviour of the process, which is subject to influence of various disturbances and operators intervention. The operator module was developed as a real-time expert system, which emulates operator's behaviour in interpretation of received signals, planning and executions of the decisions. The interaction between the two modules is managed through an interaction module, which handles the real-time exchange of data using DDE (Dynamic Data Exchange). The interaction module also contains the toolkits for analysing the dynamic behaviour of the joint process-operator system. The operator simulation module was developed based on a theoretical model of human behaviour, which breaks operator's activities into perception of signals an interpretation of the received information, planning for actions and execution of the decisions. The system was implemented as a real-time expert system using visual Prolog. Numerical models were also integrated into the expert system, e. g. stress models of operators. This flexible system allows studies on individual operators actions, stress, intervene time, the frequency of intervene and near-miss or near-hit in operation. As part of the effort to use the platform to develop methods and tools for characterising and assessing the dynamic behaviour of the joint process-operator system, a digraph method for qualitative/quantitative modelling of the dynamic behaviour of the combined system was proposed. The method involves categorical characterisation of dynamic trends using principal component analysis and fuzzy c-means and sectioning of the clusters. An iterative method for determining the number of the clusters and sections based on the global performance was derived. Compared with pervious studies on qualitative process modelling, the proposed approach is more accurate and has higher resolution, and more importantly is able to deal with joint process-operator systems. The methods and systems developed were illustrated and fully tested using simulated and industrial case studies.
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Fuentes-Hernandez, Canek. "Photorefractive polymer composites with improved operational stability and performance." Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/280699.
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This dissertation describes advances in the operational stability and performance of polymer composites that used a new hole-transporting polymer matrix, PATPD. Stable operation is achieved when PATPD provides the transport manifold because it prevents the chromophores to act as hole-traps. Operational stability is combined with video-rate compatible response times and large photorefractive nonlinearities, comparable to those obtained with the commonly used hole-transporting polymer PVK. The advances obtained in understanding the impact of chromophore aggregation to the photorefractive properties of such composites will be presented in the framework of a two-trapping site mode. Numerical simulations of the photogenerated current transients and the sensitizer anion build-up will reveal the intricate nature of the trap dynamics when chromophore aggregates can act as hole-traps in a material. Finally, the photorefractive properties of hybrid polymer composites sensitized with CdSe nanoparticles, that currently define the state-of-the-art for the photorefractive performance of this kind of materials, will be presented. The operational stability of hybrid composites is presented for the first time and the limitations to its performance will be analyzed.
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Sebzalli, Y. H. A. M. "Process and operator performance analysis in process operational safety." Thesis, University of Manchester, 2001. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.504896.
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Mensah, Welford. "Virtual Store Performance Measurement : A Logical consequence on Strategic and Operational Decisions." Thesis, Halmstad University, School of Business and Engineering (SET), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-798.
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Performance measurement is the buzzword in today’s business world. This mechanism has become an essential tool in online marketplace to identify victors and losers. Apparently, virtual stores are searching for decision-oriented performance measures to aid them in addition to identifying strengths, weaknesses, threats and opportunities make sound strategic and operational decisions as they compete with their peers. In that paradigm this study attempt to measure performance of virtual stores using decision-making associated variables sternly to evaluate the impact of the variables or indicators on strategic and operational decisions.
To achieve this purpose, the study used an evaluation framework to identify drivers which have a significant and positive effect on strategic and operational decisions. The study surveyed 100 internet users in Goteborg of a randomly selected four virtual store (EBay Amazon.com, Yahoo and Buy.com).
The results identified three major dimensions: website, product and services and promotion. These dimensions share many common aspects with decision making determinants derived within the context of online market industry. Conversely, these dimensions have unique characteristics inherent in the online marketing environment. The study revealed a significantly positive relationship between the variables on operational and strategic decisions. The conclusion is that the fact that performance measures are assessed to firms’ business activities both operational and strategic decisions initiatives begin with defining users’ needs and preferences, and their related performance variable. If the virtual store understands what dimensions users use to judge quality, they can take appropriate actions to monitor and enhance performance on those dimensions and remedy service failures.
Keywords: Virtual store, Strategic and operational decisions, Decision-oriented performance variables, variable dimensions, Website, product and service and Promotion
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Dearman, Shawn Kale. "Improving Performance in a Global Logistics Company: Operational Performance Before and After Process Improvement." Thesis, University of North Texas, 2004. https://digital.library.unt.edu/ark:/67531/metadc4712/.
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The purpose of this study was to determine the effectiveness of an intervention designed to eliminate damage notification failures in a customer-specific standard operating procedure used by a global logistics company. Process maps identified locations in the process where damage notification failures could most likely occur. A revised process was designed overnight to eliminate as many notification failure points as possible. In addition, a job aid was included to help facilitate the process change for the drivers. The results of the intervention showed a rapid and profound decrease in damage notification failures leading to the retention of a large, profitable account with a minimal initial investment of time and money.
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Filtikakis, Stefanos. "Performance analysis of IEEE 802.11g signals under different operational environments." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FFiltikakis.pdf.
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Thesis (M.S. in Electrical Engineering and M.S. in Systems Engineering)--Naval Postgraduate School, September 2005.Thesis Advisor(s): Tri T. Ha. Includes bibliographical references (p. 99-101). Also available online.
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Gumke, Randall A., and Randall Gumke. "Navy/Marine Corps intranet information assurance operational services performance measures." Thesis, Monterey, California. Naval Postgraduate School, 2001. http://hdl.handle.net/10945/10962.
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Communicating in the Department of the Navy (DON) over the Internet is an everyday event. The DON is developing the Navy Marine Corps Intranet (N/MCI) to enhance this communication capability. The security of communicating over the N/MCI has become a concern to the DON. The DON is relying on the N/MCI contractor to provide security for their communications. Key aspects of this secure communication will be provided through the use of a DON Public Key Infrastructure (PKI), which the N/MCI contractor is managing. To ensure the security of the PKI based communications the contract requires the monitoring of four PKI performance measures. This thesis analyzes performance measures, criterion, and standards then uses this analysis to review the contractual PKI performance measures and data collected from commercial PKI vendors. It recommends changes to these performance measures and provides additional performance criteria that should be included in the N/MCI contract. Finally, this thesis analyses how the N/MCI contract, specifically the PKI, impact DON members.
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Koutsoubis, John M. "Lifetime performance and operational characteristics if triggered corona stabilised swithces." Thesis, University of Strathclyde, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417420.
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Martin-Du, Pan Oliver. "Operational performance assessment of decentralised energy and district heating systems." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/17456.
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District heating systems can contribute to reducing the UK's CO2 emissions. This thesis investigates the operational performance of current district heating (DH) systems with the existing and a possible future energy sector. The main contributions to knowledge are: Operational, financial and exergy performance assessments of three functioning DH systems and one decentralised energy (DE) technology A methodology to optimise a DH system in a resource efficient and cost effective way The aims of DH systems are to provide heat, reduce CO2 emissions, ensure energy security by operating in a resource efficient way and to tackle fuel poverty. However, the case studies in this project confirm that DH systems operate poorly in the UK. This is largely because of the heat losses from the DH network to the soil being high and the plant operation being suboptimal. Four case studies were analysed. The 785 room Strand Palace hotel has two 250 kWe combined heat and power (CHP) engines set to modulate following the hotel's electricity consumption and providing approximately 90% of this annual demand. It was found that the CHP engines never operate at full load throughout a full day, firstly because the plant cannot export electricity to the grid and secondly the system is not fitted with a thermal store. Financial analysis revealed that the hotel does not reduce its heating cost by operating the CHP engines, but that the energy service company (ESCo) makes £77,000 net operating income per year. Elmswell in Suffolk (UK) is a low heat density DH system that generates heat with a 2008 biomass boiler and pumps it to 26 terraced and semi-detached dwellings. It was found that 39% of its heat is lost to the soil and that the natural gas boiler generates 45% of the heating load and operates with a seasonal efficiency of 65%. The heat losses to the soil for this system were compared to a DH system of higher heat density, Loughborough University, with a lower heat loss of 22% to the soil. In August 2011, Loughborough University installed a 1.6 MWe CHP engine to operate with four 3 MWth natural gas boilers to supply heat to its DH network. A study undertaken demonstrated that by adding a 2 MWe CHP engine with a thermal storage instead of a 1.6 MWe CHP engine on its own could further increase the CO2 emissions savings from 8% to 12.4%. The energy centre at Pimlico District Heating Undertaking (PDHU) includes a gas fired cogeneration plant that supplies heat to 3 schools, 3,256 dwellings and 55 commercial units. It also benefits from a 2,500 m3 thermal store. Every component of PDHU was investigated in detail and its current operation was optimised and compared to a selection of new operating scenarios. It was found that: i) The thermal store operated with 93% thermal efficiency and was not used to reduce the energy consumption or to enable more cogeneration, ii) The CHP engines were undersized and generated only 18% of the required heat in 2012, iii) The boilers modulate and £ 70,000 could be saved per year by setting them to operate at full load by making use of the thermal store, iv) By installing an open-loop heat pump using the river Thames, PDHU could then guarantee to comply with current and likely future policies impacts by setting the energy plant to operate in CHP mode or as an electricity consumer at defined times to benefit from low energy utility costs and to minimise CO2 emissions. A comparison of selected performance metrics was then undertaken and it was found that none of the three DH systems operate in a resource efficient way and that the heating cost could be reduced further by optimising the operation of the systems. To do this, a new optimisation methodology is proposed by maximising their exergy efficiency in addition to maximising their overall energy efficiency and CO2 emissions reduction.
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Al-Nabit, Nasser. "Improving health service operational performance in the State of Qatar." Thesis, De Montfort University, 2012. http://hdl.handle.net/2086/9546.
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Improving patient safety and quality of care are among the most important challenges facing hospital executives, not the least because of recent changes in hospital reimbursement. The usual tactic is to reduce medical treatment conditions, ensure proper drug dosage, and develop and enforce standards of care. While these efforts are important, the research here has considered one of the less obvious but critical operational issues as variation in patient flow. Patient flow and the reduction of waiting times is a subject of great discussion across all healthcare providers, underpins many waiting time improvement techniques. In healthcare, flow is the movement of patients, information or equipment between departments, staff groups or organisations as part of their care pathway. Ideally they would move from one ward in their care to the next without delay. Patient flow through an Emergency Department (ED) is complex with several changes in the pathway being produced by many decisions made at various points. However, variation in patient flow occurs throughout a hospital and contributes to different problems e.g. increasing in demand, a need for interactive care pathway or delivery of care solutions to measure different types of variability on patient flow and capacity management, extended waiting times, overcrowding and boarding in the emergency department (ED) bumped and late surgeries, lack of available routine and beds, overburdened nurses, and exasperated physicians. Not only does this threaten patient safety and quality of care, but it also causes enormous stress in the institution, making it increasingly difficult for hospitals to recruit and retain physicians and nurses. Healthcare delivery improvement techniques such as Lean allow providers to improve systems by reducing waste and highlighting the non-value added activities in the process. There are many possible process improvement solutions that can only be validated by implementation and understanding the whole process. Therefore, healthcare providers are turning to innovative technologies such as patient flow simulation in order to identify non-added activities, bottlenecks and to test Lean and more radical solutions before actually implementing them. The research will aim at proving that by adding simulations a radical thinking to improve the efficiency of flow of patients by reducing waiting time and get the best utilisation. Patient flow simulation allows you to immediately see the benefits of process changes with real time data and graphical visualisations. A novel approach is introduced within this research through the integration of simulation modelling techniques along with Taguchi analysis to investigate 'what if' patient variation scenarios. Such scenarios reflect the different combinations of the variability that can affect waiting time in one flow of patients and/or more than one patient at once. In addition, the research has adopted the concept of lean thinking to develop an automated Decision Operations Heuristic Analysis-Quick Response (DOHA-QR). The model acts in an iterative manner which investigate the different levels of variability by identify constraints that may affect the waiting and different performance outputs. Optimisation routines have been developed to get the best of senior medical resource scheduling to achieve best utilisation, reducing waiting time and react to the different levels of variability. Therefore, the developed method: (i) Concentrated on using customers and resources information to improve the quality of services while improving the productivity of the resources used in ED. (ii) Its principles can be extended and applied to different healthcare departments and other types of service granting organizations. (iii) Integrate with the simulation model that will have a real time picture of flow of patients' system load, condition, and behaviour i.e. different level of variability. It will act as a quick response tool that can provide a rationale to decision makers of small-business clinics to structure the right blend of medical resources, thereby maximizing profitability and patient satisfaction. (iv) Simulate different patient acute flow conditions i.e. emergency, urgent, non-urgent flow lines where senior medical resources can be best utilized, and (v) Additionally it will look at moving senior medical resources where and when needed between different patient acute flow lines.
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Yu, Qingyong. "Methodology for operational performance assessment of two-lane highway facilities." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0013810.
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Chan, Hsiung Wei Roy. "Performance analysis of IEEE 802.11A signals under different operational environments." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sept%5FChan.pdf.
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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, Sept. 2004.Thesis advisor(s): Tri T. Ha, Randy L. Borchardt. Includes bibliographical references (p. 89). Also available online.
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Wang, Zhenrui. "Statistical Analysis of Operational Data for Manufacturing System Performance Improvement." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/301673.
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The performance of a manufacturing system relies on its four types of elements: operators, machines, computer system and material handling system. To ensure the performance of these elements, operational data containing various aspects of information are collected for monitoring and analysis. This dissertation focuses on the operator performance evaluation and machine failure prediction. The proposed research work is motivated by the following challenges in analyzing operational data. (i) the complex relationship between the variables, (ii) the implicit information important to failure prediction, and (iii) data with outliers, missing and erroneous measurements. To overcome these challenges, the following research has been conducted. To compare operator performance, a methodology combining regression modeling and multiple comparisons technique is proposed. The regression model quantifies and removes the complex effects of other impacting factors on the operator performance. A robust zero-inflated Poisson (ZIP) model is developed to reduce the impacts of the excessive zeros and outliers in the performance metric, i.e. the number of defects (NoD), on regression analysis. The model residuals are plotted in non-parametric statistical charts for performance comparison. The estimated model coefficients are also used to identify under-performing machines. To detect temporal patterns from operational data sequence, an algorithm is proposed for detecting interval-based asynchronous periodic patterns (APP). The algorithm effectively and efficiently detects pattern through a modified clustering and a convolution-based template matching method. To predict machine failures based on the covariates with erroneous measurements, a new method is proposed for statistical inference of proportional hazard model under a mixture of classical and Berkson errors. The method estimates the model coefficients with an expectation-maximization (EM) algorithm with expectation step achieved by Monte Carlo simulation. The model estimated with the proposed method will improve the accuracy of the inference on machine failure probability. The research work presented in this dissertation provides a package of solutions to improve manufacturing system performance. The effectiveness and efficiency of the proposed methodologies have been demonstrated and justified with both numerical simulations and real-world case studies.
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Opata, Jonathan. "Strategies to Minimize the Impact of Supply Chain Risk on Business Performance." ScholarWorks, 2015. http://scholarworks.waldenu.edu/dissertations/1485.
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The exposure of companies to turbulence, uncertainty, and vulnerability in their supply chain results in supply chain disruption with an estimate cost of $10 million for each supply chain disruption. The purpose of this case study was to explore the strategies supply chain managers use to mitigate supply chain disruption on business performance in a pharmaceutical company in Maryland. Contingency theory of fit formed the conceptual framework for this study. Participant perceptions were elicited in interviews with 11 supply chain managers regarding strategies to mitigate risks associated with supply chain disruptions. Data from interviews and supporting documents were processed and analyzed using data source triangulation to discern emergent themes. Three main themes emerged: (a) supply chain design, planning, and forecasting; (b) flexible and multiple supplier base; and (c) resource allocation and demand management. The implications for positive social change include the potential of reducing supply chain risk, which could lead to lower prices of products for consumers, increased stakeholder satisfaction, and a higher standard of living.
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Riedel, Robin. "An approach to predict operational performance of airline schedules using aircraft assignment key performance indicators." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35566.
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2006.Includes bibliographical references (p. 87-90).
This thesis presents an approach for predicting operational performance of airlines on the basis of flight schedules and aircraft assignments. The methodology uses aggregate measures of properties of aircraft assignments, called Aircraft Assignment Key Performance Indicators (KPIs), and aims to find correlations between them and the operational performance of the airline. A simulation experiment is prepared to gather a large set of data points for analysis. A motivation is given for the use of control theoretic approaches in airline operations to utilize the KPIs as a basis for initial planning and corrective actions.
by Robin Riedel.
S.M.
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Kossmann, de Menezes Anna Carolina. "Improving predictions of operational energy performance through better estimates of small power consumption." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/13549.
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This Engineering Doctorate aims to understand the factors that generate variability in small power consumption in commercial office buildings in order to generate more representative, building specific estimates of energy consumption. Current energy modelling practices in England are heavily focussed on simplified calculations for compliance with Building Regulations, which exclude numerous sources of energy use such as small power. When considered, estimates of small power consumption are often based on historic benchmarks, which fail to capture the significant variability of this end-use, as well as the dynamic nature of office environments. Six interrelated studies are presented in this thesis resulting in three contributions to existing theory and practice. The first contribution consists of new monitored data of energy consumption and power demand profiles for individual small power equipment in use in contemporary office buildings. These were used to inform a critical review of existing benchmarks widely used by designers in the UK. In addition, monthly and annual small power consumption data for different tenants occupying similar buildings demonstrated variations of up to 73%. The second contribution consists of a cross-disciplinary investigation into the factors influencing small power consumption. A study based on the Theory of Planned Behaviour demonstrated that perceived behavioural control may account for 17% of the variation in electricity use by different tenants. A subsequent monitoring study at the equipment level identified that user attitudes and actions may have a greater impact on variations in energy consumption than job requirements or computer specification alone. The third contribution consists of two predictive models for estimating small power demand and energy consumption in office buildings. Outputs from both models were validated and demonstrated a good correlation between predictions and monitored data. This research also led to the development and publication of industry guidance on how to stimate operational energy use at the design stage.
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Tuominen, Matti. "Market-driven capabilities and operational performance : theoretical foundations and managerial practices /." Helsinki : Helsinki School of Economics, 2002. http://aleph.unisg.ch/hsgscan/hm00061148.pdf.
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Storck, Joakim. "Strategic and operational capabilities in steel production : Product variety and performance." Doctoral thesis, KTH, Industriell produktion, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11642.
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Steel producers that employ niche market strategies are continuously seeking to reduce production cost while maintaining adiverse product mix. The business model is typically based onmarketing of high–strength special or stainless steels. However,the desire to avoid direct cost competition is over time gradually leading towards increased product variety and smaller ordervolumes (tonnes per order) for each product. This thesis analyses how production cost is linked to productvariety in steel strip production. Results are based on new modelsfor assessment of opportunities for performance improvement inhigh product–variety steel production. The need for flexible production processes increases with increasing product variety. Operational capabilities linked to processflexibility determine the extent to which steel producers caneliminate in–process inventory and accomplish close coupling between process steps. Niche market producers that invest inprocess flexibility improvements can lower production costs bothdue to reduced work–in–process and lower energy consumption.An additional benefit is reduced environmental impact. The following problems are addressed: • Development of a method to assess the influence of productvariety on performance in steel production. • Development of models of continuous casting and hotrolling that account for product variety and cost effectswith consideration of varying degrees of process flexibility. • Development of a strategy process model that focus on thestrategic value of operational capabilities related to processflexibility. Investments in operational capabilities regarding process flexibility have a strategic impact. An appreciation for the effectsof process flexibility should permeate the organisation’s daily work since the accumulated contribution of many, seemingly unimportant, incremental changes significantly influences thestrategic opportunities of the company.Stålproducenter med nischmarknadsstrategier försöker ständigt sänka sina produktionskostnader samtidigt som en varierad produktflora bibehålls. Affärsmodellen bygger i typfallet på försäljning av höghållfasta specialstål eller rostfria stål. Strävan att undvika direkt priskonkurrens leder dock med tiden gradvis till ökad produktvariation och mindre ordervolymer (ton per order)för varje produkt. Denna avhandling analyserar hur produktionskostnaden är kopplad till graden av produktvariation vid tillverkning av band.Resultaten bygger på nya modeller för utvärdering av förutsättningarnaför prestandaförbättring i stålindustri med stor produktvariation. Behovet av flexibla produktionsprocesser ökar med ökande produktvariation. Praktiska förmågor kopplade till processflexibilitet avgör till vilken grad ståltillverkare förmår att eliminera mellanlager och åstadkomma en tät koppling mellan processteg.Nischmarknadsproducenter som investerar i förbättrad flexibilitet kan sänka sina produktionskostnader både genom minskad mängd produkter i arbete och reducerad energiförbrukning. Detta medför också minskad miljöbelastning.Följande problemställningar adresseras: • Utveckling av en metod för att utvärdera inverkan av produktvariationpå prestanda vid ståltillverkning. • Utveckling av en modell för stränggjutning och varmvalsningsom tar hänsyn till produktvariation och kostnadseffekterför olika grad av processflexibilitet. • Utveckling av en strategimodell som fokuserar på det strategiskavärdet av operativa förmågor kopplade till processflexibilitet. Investeringar i operativa förmågor vad avser processflexibilitet är av strategisk betydelse. Förståelse för betydelsen av processflexibilitetbör genomsyra det dagliga arbetet eftersom det samladebidraget av många, till synes obetydliga, små förändringar haren avgörande inverkan på företagets strategiska förutsättningar
QC 20100810
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Chia-Lin, Hsu, and 許家齡. "Financial Flexibility and Operational Performance." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/03525505286671285472.
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碩士國立暨南國際大學
財務金融學系
94
This research constructs a framework to measure a multinational enterprise’s financial flexibility containing three dimensions: (1) globalization ability, (2) financing ability, and (3) liquidity ability. We then build a panel dataset of 100 information technology firms and 167 non-information technology firms in Taiwan during 1999-2003. Our major findings are as follows: (1) Export ratio, debts from foreign countries, spontaneous short-term debt ratio, and quick ratio have significantly positive effects on operational performance. (2) Foreign assets ratio has a significantly negative effect on operational performance. (3) Equity from foreign countries, mainland China investment, and external short-term debt ratio have no significant effects on operational performance.
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Wang, Vanessa, and 王嬪嫈. "Operational performance evaluation of banks." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/30577200088488627317.
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Mahimkar, Ajay. "Performance diagnosis in large operational networks." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-05-1223.
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IP networks have become the unified platform that supports a rice and extremely diverse set of applications and services, including traditional IP data service, Voice over IP (VoIP), smart mobile devices (e.g., iPhone), Internet television (IPTV) and online gaming. Network performance and reliability are critical issues in today's operational networks because many applications place increasingly stringent reliability and performance requirements. Even the smallest network performance degradation could cause significant customer distress. In addition, new network and service features (e.g., MPLS fast re-route capabilities) are continually rolled out across the network to support new applications, improve network performance, and reduce the operational cost. Network operators are challenged with ensuring that network reliability and performance is improved over time even in the face of constant changes, network and service upgrades and recurring faulty behaviors. It is critical to detect, troubleshoot and repair performance degradations in a timely and accurate fashion. This is extremely challenging in large IP networks due to their massive scale, complicated topology, high protocol complexity, and continuously evolving nature through either software or hardware upgrades, configuration changes or traffic engineering.
In this dissertation, we first propose a novel infrastructure NICE (Network-wide Information Correlation and Exploration) that enables detection and troubleshooting of chronic network conditions by analyzing statistical correlations across multiple data sources. NICE uses a novel circular permutation test to determine the statistical significance of correlation. It also allows flexible analysis at various spatial granularity (e.g., link, router, network level, etc.). We validate NICE using real measurement data collected at a tier-1 ISP network. The results are quite positive. We then apply NICE to troubleshoot real network issues in the tier-1 ISP network. In all three case studies, NICE successfully uncovers previously unknown chronic network conditions, resulting in improved network operations.
Second, we extend NICE to detect and troubleshoot performance problems in IPTV networks. Compared to traditional ISP networks, IPTV distribution network typically adopts a different structure (tree-like multicast as opposed to mesh), imposes more restrictive service constraints (both in reliability and performance), and often faces a much larger scalability issue (managing millions of residential gateways versus thousands of provider-edge routers). Tailoring to the scale and structure of IPTV network, we propose a novel multi-resolution data analysis approach Giza that enables fast detection and localization of regions in the multicast tree hierarchy where the problem becomes significant. Furthermore, we develop several statistical data mining techniques to troubleshoot the identified problems and diagnose their root causes. Validation against operational experiences demonstrates the effectiveness of our approach in detecting important performance issues and identifying interesting dependencies.
Finally, we design and implement a novel infrastructure MERCURY for detecting the impact of network upgrades on performance. It is crucial to monitor the network when upgrades are made because they can have a significant impact on network performance and if not monitored may lead to unexpected consequences in operational networks. This can be achieved manually for a small number of devices, but does not scale to large networks with hundreds or thousands of routers and extremely large number of different upgrades made on a regular basis. MERCURY extracts interesting triggers from a large number of network maintenance activities. It then identifies behavior changes in network performance caused by the triggers. It uses statistical rule mining and network configuration to identify commonality across the behavior changes. We systematically evaluate MERCURY using data collected at a large tier-1 ISP network. By comparing to operational practice, we show that MERCURY is able to capture the interesting triggers and behavior changes induced by the triggers. In some cases, MERCURY also discovers previously unknown network behaviors demonstrating the effectiveness in identifying network conditions flying under the radar.text
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Hsieh, Chih-ming, and 謝志明. "Performance indexes of business operational performance following CRM implementation." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/68409091741853970364.
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碩士國立臺灣科技大學
資訊管理系
96
In this E-Commerce time, the information technology has really changed consumers' consumer behavior, and has also changed the commercial trade way of the whole economic society. Especially it has leaded an enormous influence on the interaction relations between the enterprise and customer. In this E-Society everything will be easily acquired, the customer could be already allowed in the extremely convenient way to gain immediate information, and could have the more opportunities to take part in commercial marketing decision-making process. This is explaining that we already walked into the year of the customers leading, how to understand customer's demand in depth and in time to reach customer's suggestion feedback in the products and service design and offering more individualized, more confortable service for the customer will become enterprise's successful important index. The modern enterprise is in under the so high competition environment, how to effectively promote the customer loyalty, strengthen customer degree of satisfaction and promote enterprise's management performance, these will become the important key factor whether the modern enterprise could occupy leading position and win the victory, "the customer relations management (Customer Relationship Management, CRM)" will be the best pronoun which becomes this new-type management mechanism. Therefore, my research direction regard as a large-scale company of the cable TV industry as the research object of the case study. Under pursuing the vision and the strategy goal of the enterprise, I use the BSC model proposed by Kaplan and Norton and combine the management performance index of the four constructions surface in BSC, to probe into the CRM implemented to the influence of managing performance.
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CHU, CHIA HUA, and 朱家驊. "The Analysis of Manufacturing Industry Operational Performance." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/46589587178012739054.
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碩士輔仁大學
應用統計學研究所
98
Many enterprises were influenced by Financial Tsunami in 2008. The situation forced lots of companies lay off employees, reduce payment or make employees leave without pay. Some companies even closed down. At the same time, many companies could have pretty good performance in the profit. Some of them even had large growth without the influence of Financial Tsunami. This study selects the industry of Consumer electronics and peripherals, Semiconductor, Electronic Components, Photoelectric and Computer system according to the Business Week's lists of the top 1000 enterprise in 2008 among Taiwan, HK and China. It also selects a few companies of being in financial crisis. It tries to find some more representative ones from these financial indicators assessing operational performance. The result of the study shows the total 20 financial indicators of Manufacturing Industry Operational Performance can summarized to two items of debt-paying ability including Current Ratio and Quick Ratio, three items of operating ability including Receivables Turnover, Receivable Collection Period, Assets Turnover and fixed assets including Long-term Capital to Fixed Assets Ratio and Net Fixed Assets Turnover. The manufacturing industry in the research can be divided into four groups. There are some differences among these four groups.
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Chiang, Yueh-Ching, and 江月青. "Study on Taiwan Commercial Bank Operational Performance." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/04559765685348428424.
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碩士淡江大學
國際行銷碩士在職專班
103
Small and medium enterprises thrived during initial development of Taiwan industry, leading Taiwan economic growth. The banking industry also played an important role in offering financial services; hence, the stability of a banking system is crucial to Taiwan industry. Since the government vigorously loosened banking laws and restrictions, Taiwan banking entities have experienced a rapid expanding period, which in the end they found themselves facing a vicious and competitive banking environment. Due to the excessive number of banks, profits from savings and loan narrowed dramatically. In order to survive, banks chose to expand their overseas business to seek higher returns; also many mergers and acquisition activities went up. Because banks are relying more on their overseas branches, global economy affects banks’ returns greatly. Evaluation on banks’ relative operation performance, therefore, became much more important. This study uses Data Envelopment Analysis (DEA), let total asset, operation expense and interest expense as input variables, and interest income and non-interest income as output variables, and perform correlation analysis on relative operation performance of sample banks, and use Windows analysis as computing model on cross-year relative operation performance in order to increase the stability of the result among compare sample banks. In the end, this study will promote further discuss the possible ways of development of sample banks.
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Dias, Ruben Roque. "Models for Improvement Management and Operational Performance." Master's thesis, 2017. https://repositorio-aberto.up.pt/handle/10216/102607.
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Achieving high levels of performance in the manufacturing environment requires an increase in speed, quality and reliability of existing technologies. This is inherently related with the need to develop adequate process monitoring and modelling/simulation approaches, along with innovative optimization and maintenance strategies. The purpose of this dissertation is to provide a framework that can be used as a tool by decision makers when evaluating and controlling the performance of a system. To achieve this, a structured conceptual model should be developed, which should not be tied to any particular model. The idea with this framework is to assess information obtained during production and use it to generate relevant KPIs for monitoring and evaluating the system?s performance. This information should then be fed into a DSS that can provide suggestions or even actively influence simulation parameters to apply the identified improvement measures. Finally, the proposed framework is to be applied in a case-study to evaluate its relevance in the improvement of manufacturing operations in a real-world context.
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Ferraz, André Fernando Fernandes. "Acclimation effects in military operational physical performance." Master's thesis, 2016. https://hdl.handle.net/10216/86817.
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Lin, Mengchun, and 林孟君. "The Operational Performance Analysis for Leisure Industry." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/12090429338811305053.
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碩士大葉大學
管理學院碩士在職專班
101
Financial statements are the factual outcomes of an enterprise’s performance. From financial ratios of financial statements, investors could grasp a better understanding of years of the enterprise’s performance and operating situation, enabling them to objectively evaluate the prospects and value of the enterprise, which in return help them to analyze trends of stocks in order to gain possible profits. This study is targeted at nine publicly traded tourism companies. The relation between eight financial ratios and cumulative abnormal returns (CAR) is analyzed by the tool of Pearson’s product moment correlations and multiple regressions, based on ten years’ financial statements documented from 2002 to 2011. The results show that the ratio of working capital to total assets, the ratio of fixed assets to total equity, the growth rate of revenue, and the operating cash flow per share are positively correlated with cumulative abnormal returns (CAR), while the turnover ratio of total equity shows negative correlation with cumulative abnormal returns (CAR).
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Dias, Ruben Roque. "Models for Improvement Management and Operational Performance." Dissertação, 2017. https://repositorio-aberto.up.pt/handle/10216/102607.
Full textAbstract:
Achieving high levels of performance in the manufacturing environment requires an increase in speed, quality and reliability of existing technologies. This is inherently related with the need to develop adequate process monitoring and modelling/simulation approaches, along with innovative optimization and maintenance strategies. The purpose of this dissertation is to provide a framework that can be used as a tool by decision makers when evaluating and controlling the performance of a system. To achieve this, a structured conceptual model should be developed, which should not be tied to any particular model. The idea with this framework is to assess information obtained during production and use it to generate relevant KPIs for monitoring and evaluating the system?s performance. This information should then be fed into a DSS that can provide suggestions or even actively influence simulation parameters to apply the identified improvement measures. Finally, the proposed framework is to be applied in a case-study to evaluate its relevance in the improvement of manufacturing operations in a real-world context.