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Dissertations / Theses on the topic 'Operational Intelligence'
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Waters, Lonn Augustine. "Secrecy, deception and intelligence failure : explaining operational surprise in war." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33710.
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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Political Science, 2005.Includes bibliographical references (leaves 83-85).
Operational surprise attacks are large-scale, theater-level intrawar attacks, which result from a country misestimating the capabilities and intentions of its enemies. This thesis analyzes how these massive surprise attacks occur during war when countries should be especially wary of their enemies and vigilant for any evidence of attack. Three hypotheses may explain the frequency and success of operational surprise attacks including operational secrecy, strategic deception, and intelligence failure. Using the Battle of the Bulge in World War II and the Chinese counteroffensive in the Korean War as case studies, this analysis illustrates these three elements and evaluates their relative causal weight in these attacks. This study concludes that each hypothesis is a contributing element to the surprise attack, but that a failure of intelligence is the critical factor. Moreover, this failure stems from a "victory disease" - a belief held by military leaders and their intelligence staff when victory appears near that one's enemy is too weak or has allowed the opportunity to mount a successful counterattack pass.
(cont.) Thus, precisely when one's enemy becomes most desperate on the battlefield countries run a greater risk of surprise attack by failing to accurately estimate an enemy's strategic intentions and military capabilities.
by Lonn Augustine Waters.
S.M.
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O'Keefe, David R. "Bitter harvest, a case study of Allied operational intelligence for Operation Spring Normandy, July 25, 1944." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ26354.pdf.
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Hrach, Christian, and Rainer Alt. "Fallstudien zum Einsatz von Business Intelligence in Call Centern." Universitätsbibliothek Leipzig, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-81877.
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Dieser Forschungsbericht untersucht anhand von sechs Fallstudien die konkrete Prozessunterstützung in Call Centern durch in operative Anwendungssysteme eingebettete Analytik. Dies umfasst zum einen retrospektive Analysen für interne und externe Stakeholder in Form von Reporten als auch Echtzeit-Auswertungen durch grafisch-orientierte Monitor-Darstellungen. Hierbei stehen unter anderem die eingesetzten Anwendungssysteme, das Nutzungsverhalten durch die verschiedenen Call Center-Mitarbeitergruppen und die kennzahlenbasierten Auswertungsinhalte im Vordergrund.
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Persson, Lise-Lotte. "Operational Business Intelligence : en studie i automatisering av beslutsprocessen vid kreditbedömningar." Thesis, Högskolan i Skövde, Institutionen för kommunikation och information, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5108.
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Operational Business Intelligence (OpBI) är en typ av Business Intelligence som används i det operativa arbetet och det röner mer och mer intresse. I samarbete med ett företag har en fallstudie genomförts med syftet att etablera och kontextualisera riktlinjer för att kunna införa en ökad automatiseringsgrad i en OpBI-lösning som används för kreditbedömning av fakturor. Studien har fokuserat på att undersöka vilka faktorer som påverkar finansieringsbolag vid val av automatiseringsgrad, val av parametrar att använda vid kreditbedömning samt val av antalet regler som styr automatiseringen. Inom ramen för fallstudien har en analys av det utvalda systemet utförts och intervjuer gjorts med kreditupplysningsbolagen som är leverantörer av de externa parametrarna samt intervjuer med sju finansieringsbolag som använder det utvalda systemet. Fallstudien har resulterat i 19 riktlinjer. Resultatet visar att ju högre volym som hanteras, ju högre tidspress det finns i processen och ju större tillit som finns för en automatisering, desto högre automatiseringsgrad väljs.
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Tuner, Bunyamin. "Information operations in strategic, operational, and tactical levels of war : a balanced systematic approach." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FTuner.pdf.
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Thesis (M.S. in Systems Engineering and M.S. in Information Technology Management)--Naval Postgraduate School, September 2003.Thesis advisor(s): Daniel Boger, Steve Iatrou. Includes bibliographical references (p. 69-71). Also available online.
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Hrach, Christian, and Rainer Alt. "Fallstudien zum Einsatz von Business Intelligence in Call Centern." Universität Leipzig, 2010. https://ul.qucosa.de/id/qucosa%3A11332.
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Dieser Forschungsbericht untersucht anhand von sechs Fallstudien die konkrete Prozessunterstützung in Call Centern durch in operative Anwendungssysteme eingebettete Analytik. Dies umfasst zum einen retrospektive Analysen für interne und externe Stakeholder in Form von Reporten als auch Echtzeit-Auswertungen durch grafisch-orientierte Monitor-Darstellungen. Hierbei stehen unter anderem die eingesetzten Anwendungssysteme, das Nutzungsverhalten durch die verschiedenen Call Center-Mitarbeitergruppen und die kennzahlenbasierten Auswertungsinhalte im Vordergrund.:1 Einleitung
2 Fallstudie - B.B.K. Vertriebs- und Kunden-Services GmbH
3 Fallstudie - DIMA Systems AG
4 Fallstudie - Regiocom Sales Service Halle GmbH
5 Fallstudie - TMA Telesmart GmbH
6 Fallstudie - Simon & Focken GmbH
7 Fallstudie - Regiocom GmbH
8 Zusammenfassung der Fallstudien-Ergebnisse
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Els, Deon André. "A spiritual intelligence model for operational humanitarian leadership development in conflict-affected areas." Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/15534.
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The scale and cadence of crises that demand international humanitarian response are on the rise and pose increasingly hostile and complex challenges to operational humanitarian leaders. The international responses to humanitarian crises since 2011 recognised the need for successful humanitarian leadership development that emphasises the importance of ethical and effective leadership. The under-achievement of operational humanitarian leaders in conflict-affected areas has long been a chief concern amongst humanitarian organisations and leadership scholars. Several approaches to the development of operational humanitarian leaders have been presented as possible solutions such as establishing new financing mechanisms; improving technical abilities, academic knowledge, simulation training, conflict management skills; conflict prevention training; and enhancing the capacity for collaborative networks. Despite various efforts, it is reported that ineffective and incompetent leadership is still a major constraint on the success and effectiveness of operational humanitarian response in conflict-affected areas. This research effort attempted to contribute to improving operational humanitarian leadership by considering a “human or people-centred approach”. The primary objective was to identify the factors that influence the successful development of the spiritual intelligence (SQ) of humanitarian leaders working in conflict-affected areas. The primary objective was, therefore, to improve the abilities and skills of humanitarian leaders by validating and analysing factors that should contribute to the development of spiritually intelligent leaders and, subsequently, improve humanitarian leadership performance. There is growing consensus that values, ethical behaviour, self-awareness, motivation, compassion, humility, empathy, co-ordination and the empowerment of others have a significant impact on the effectiveness of operational humanitarian leadership which emphasises the need for human or people-centred approaches in developing humanitarian leaders. The striking similarities between abilities pertaining to effective, operational, humanitarian leadership and the capabilities of a spiritually intelligent individual suggested an opportunity to investigate the development of a spiritual intelligence model for humanitarian leaders. The frequency, duration and intensity of humanitarian crises between 2004 and 2016 further emphasised the urgent need for operational leaders to develop and apply abilities based on spiritual intelligence in the humanitarian sector. Some scholars argue that the development of spiritually intelligent leaders should play an instrumental role in successfully responding to global crises.
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Hartman, Chad. "Field-testing the intelligence estimate : a strategy for genuine learning /." Maxwell AFB, Ala. : School of Advanced Air and Space Studies, 2008. https://www.afresearch.org/skins/rims/display.aspx?moduleid=be0e99f3-fc56-4ccb-8dfe-670c0822a153&mode=user&action=downloadpaper&objectid=b63f14d9-aca5-49a8-b0ba-538c42a24fb3&rs=PublishedSearch.
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Sangupamba, Mwilu Odette. "De la business intelligence interne vers la business intelligence dans le cloud : modèles et apports méthodologiques." Thesis, Paris, CNAM, 2018. http://www.theses.fr/2018CNAM1168/document.
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La BI et le cloud computing sont deux grands sujets de recherche en informatique et en système d’information en particulier. Une recherche combinant ces deux concepts est d'un intérêt double : D’une part, dans les entreprises, la BI devient de plus en plus une partie importante du système d'information qui nécessite des investissements en termes de performances de calcul et des volumes de données. D’autre part, le cloud computing offre de nouvelles opportunités pour gérer les données à des fins d’analyse.Etant donné les possibilités de cloud, la question de la migration de l'ensemble du système d’information y compris la BI est d'un grand intérêt. En particulier, les chercheurs doivent fournir aux professionnels des modèles et des méthodes qui puissent les aider à migrer vers le cloud.Que faire pour que la BI puisse fournir aux managers un service de mise à disposition de données d’analyse au travers du cloud ? La question de recherche est : Comment aider les organisations à migrer leur BI vers le cloud ?Dans cette thèse, nous répondons à cette question en utilisant l'approche science de conception (design science). Nous mettons en place une aide à la décision de la migration de la BI vers le cloud qui s'appuie sur les taxonomies. Nous proposons un modèle de guidage opérationnel qui est instancié par une taxonomie de la BI dans le cloud et dont découlent les règles pour la migration de la BI vers le cloudBI and cloud computing are two major areas of computer science research and in particular in information system. A research combining these two concepts has a double interest : On the one hand, in business, the BI becomes increasingly an important part of the information system which requires investment in terms of computing performance and data volumes. On the other hand, cloud computing offers new opportunities to manage data for analysis.Given the possibilities of cloud, migration question of the information system including BI is of great interest. In particular, researchers must provide models and methods to help professional in BI migration to the cloud.The research question is : how to migrate BI to the cloud?In this thesis, we address this issue using design science research approach. We implement a decision-making help for BI migration to the cloud based on taxonomies. We provide an operational guidance model that is instantiated by a BI taxonomy in the cloud and from that rules for BI migration to the cloud are arised
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Tolar, Tomáš. "Transformace reportingu dat z provozu datových sítí." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-261780.
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This thesis deals with transformation of network data reporting process in a Telecom company. The current process is MS Excel based and is inadequate and inefficient. The goal is to find the right tools and to implement them. The thesis is divided into three parts. First part is focused on theoretical background of reporting, i.e. Business Intelligence and other approaches. Second part explains general Network reporting principles and trends. In contrast with these theoretical recommendations, the actual level of the company's process is depicted. The last part of this thesis covers a practical implementation of selected applications. First, a choice is made within a variety of tools based on department's needs then the architecture is proposed and applications are implemented. The final part of the thesis provides an assessment of the benefits attained by this project.
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Khan, Hamzah I. "Evaluating Flexibility Metrics on Simple Temporal Networks with Reinforcement Learning." Scholarship @ Claremont, 2018. https://scholarship.claremont.edu/hmc_theses/116.
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Simple Temporal Networks (STNs) were introduced by Tsamardinos (2002) as a means of describing graphically the temporal constraints for scheduling problems. Since then, many variations on the concept have been used to develop and analyze algorithms for multi-agent robotic scheduling problems. Many of these algorithms for STNs utilize a flexibility metric, which measures the slack remaining in an STN under execution. Various metrics have been proposed by Hunsberger (2002); Wilson et al. (2014); Lloyd et al. (2018). This thesis explores how adequately these metrics convey the desired information by using them to build a reward function in a reinforcement learning problem.
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Seibold, Michael [Verfasser], Alfons [Akademischer Betreuer] Kemper, and Thomas [Akademischer Betreuer] Setzer. "Operational Business Intelligence as a Service in the Cloud / Michael Seibold. Gutachter: Alfons Kemper ; Thomas Setzer. Betreuer: Alfons Kemper." München : Universitätsbibliothek der TU München, 2013. http://d-nb.info/1031515569/34.
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BELL, JOYCE ADAMS. "THE INFLUENCES OF AGE, INTELLIGENCE, AND TRAINING ON THE ACQUISITION OF A FORMAL OPERATIONAL CONCEPT (RULE-USAGE, PROBLEM-SOLVING, GIFTEDNESS)." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/188176.
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Individual differences in problem-solving have been studied from both information-processing and developmental psychology perspectives. The purpose of the present research was to use an information-processing approach to investigate the effects of both age and intelligence on the performances by young persons on experimental tasks which required systematic application of appropriate solution rules. Eighty 10- and 15-year-old subjects were assigned to one of eight groups on the bases of their ages, sex, and intelligence levels. The testing condition was the same for all groups. Stimulus materials consisted of a two-pan balance and a variety of different-density cubes. Subjects' responses to the materials were their predictions of equilibrium or imbalance. Correct solutions required understanding of the physical science concepts of volume and density, and the mathematics concept of proportionality. From analysis of variance performed on the data, it was found that males and females did not differ in their abilities to problem-solve. The highly-intelligent subjects had a greater frequency of correct responses in both age groups, and the older subjects outperformed younger subjects. The equilibrium problems presented in the study were of six separate types, and the interaction effects in the data revealed that the six types were of varying levels of difficulty. It was in the analyses of the subjects' patterns of responses to the several types that the most theoretically interesting results appeared. Examination of the response patterns led to assignment of the respondents to categories of probable rule-usage. The less sophisticated problem-solvers did not take density into account and consistently relied on their knowledge of the volume concept in making their decisions. Solvers functioning at higher rule-levels were able to consider density as well before making their predictions, although a substantial number failed to use cues present in the experiment to reckon the respective densities correctly. Fully-functional problem-solvers gave responses which showed their mastery of the mathematics of proportionality. Twenty-four subjects participated in a second experiment which was a short demonstration-oriented training study providing feedback, although the algorithm for correct problem solution was not directly taught. Results were discussed in terms of the efficacy of the rule-usage model.
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Fernández, Jaramillo José Manuel [Verfasser]. "Development of an Operational System for a Coastal Area on the German North Sea using Artificial Intelligence / José Manuel Fernández Jaramillo." Kiel : Universitätsbibliothek Kiel, 2014. http://d-nb.info/1062536029/34.
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Khichane, Madjid. "Optimisation sous contraintes par intelligence collective auto-adaptative." Phd thesis, Université Claude Bernard - Lyon I, 2010. http://tel.archives-ouvertes.fr/tel-00720232.
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Dans le cadre de cette thèse, nous nous sommes intéressés à la mise en œuvre d'algorithmes auto-adaptatifs d'Intelligence Collective pour la résolution de problèmes d'optimisation modélisés dans un langage de Programmation par contraintes (PPC). Nous avons porté une attention particulière à la famille d'algorithmes de type " Ant Colony Optimization " (ACO). Nous avons développé trois contributions, à savoir : (1) Intégration des algorithmes de type ACO dans un langage de programmation par contraintes pour la résolution de problèmes de satisfaction de contraintes; (2) Proposition d'un algorithme hybride et générique où ACO est couplé à une approche complète pour résoudre des problèmes d'optimisation combinatoires (3) Proposition d'une stratégie capable d'adapter dynamiquement les paramètres de ACO.
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Brandão, Filipe Ferreira. "Estágio TAP/Megasys - Data Warehouse & Reporting." Master's thesis, Instituto Superior de Economia e Gestão, 2014. http://hdl.handle.net/10400.5/12024.
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Mestrado em Gestão de Sistemas de InformaçãoA atividade de uma companhia aérea, envolvendo várias áreas operacionais, por vezes várias empresas, dá origem a diferentes sistemas de informação, consequentemente gerando um volume grande de dados. A análise desses dados é fundamental para maximizar a informação disponível e apoiar o processo de tomada de decisão. O Business Intelligence (BI) disponibiliza aos decisores, de maneira rápida e eficiente, a informação proveniente desses sistemas. A Megasis/TAP Portugal utiliza ferramentas da MicroStrategy que permitem o acesso, criação e partilha de conteúdos, como reports ou dashboards, de modo a satisfazer a necessidade de informação, bem como disponibilizar aos utilizadores informação crucial para a tomada de decisão no grupo TAP. Neste trabalho é descrito o estágio efetuado na equipa de BI e CRM da TAP Portugal/Megasis, através do enquadramento teórico, relato das atividades desenvolvidas, e conclusões retiradas do estágio.
The business activity of an airline, with several operational areas, sometimes several companies, generates different scopes of information as well as a huge data volume. The pre-analysis and documentation of data is essential to maximize the presentation of information and optimize the decision making process. A Business Intelligence plan enables decision makers to interpret in a quick and efficient way the reliable information provided by many business sectors of their company. Megasis/TAP uses Microstrategy tools like reports or dashboards that allow access and sharing of data to the information users and validate the actions of decision makers in TAP Group. This study describes the work developed by the Business Intelligence and CRM team at TAP/Portugal/Megasis through relevant theory on the contents and benefits of a Business Intelligence plan. It also describes the tasks in which the author was involved and which conclusions may arise from its experience.
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Chaouche, Ahmed Chawki. "Une approche multi-agent pour la conception de systèmes d'intelligence ambiante : un modèle formel intégrant planification et apprentissage." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066084/document.
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Ce travail présente une architecture logicielle concrète dédiée aux besoins et caractéristiques des systèmes d'Intelligence Ambiante (AmI). Le modèle comportemental proposé, appelé Higher-order Agent (HoA), capture simultanément l'évolution de l'état mental de l'agent ainsi que l'état de son plan d'actions. Les expressions du plan sont écrites et composées en utilisant un langage algébrique formel, nommé AgLOTOS. Les plans sont construits automatiquement et à la volée, comme un système de processus concurrents, déduits des intentions de l'agent et de ses préférences d'exécution. Basé sur une sémantique de plans et d'actions concurrentes, un service de guidance est aussi proposé afin d'assister l'agent dans le choix de ses prochaines exécutions. Cette guidance permet d'améliorer la satisfaction des intentions de l'agent au regard des plans concurrents possibles et en fonction du contexte actuel de l'agent. La "localité" et le "temps" étant considérés comme des informations contextuelles clés dans l'activité de l'agent, nous les prenons en compte au travers de deux fonctions utilitaires originales conçues à partir des expériences des exécutions d'action et pouvant être combinées suivant les préférences stratégiques de l'agent. La structure compositionnelle des expressions AgLOTOS est mise à profit pour permettre des révisions ciblées du plan de l'agent, Les révisions des sous-plans sont donc réalisées automatiquement en fonction des mises à jour apportées aux intentions, tout en maintenant la consistance du comportement de l'agent. Un cas d'étude est développé afin de montrer comment l'agent peut agir, même s'il subit des changements inattendus de son contexte, en fonction de ses expériences passées qui révèlent certains cas de d'échecsThis work presents a concrete software architecture dedicated to ambient intelligence (AmI) features and requirements. The proposed behavioral model, called Higher-order Agent (HoA) captures the evolution of the mental representation of the agent and the one of its plan simultaneously. Plan expressions are written and composed using a formal algebraic language, namely AgLOTOS, so that plans are built automatically and on the fly, as a system of concurrent processes. Due to the compositional structure of AgLOTOS expressions, the updates of sub-plans are realized automatically accordingly to the revising of intentions, hence maintaining the consistency of the agent. Based on a specific semantics, a guidance service is also proposed to assist the agent in its execution. This guidance allows to improve the satisfaction of the agent's intentions with respect to the possible concurrent plans and the current context of the agent. Adopting the idea that "location" and "time" are key stones information in the activity of the agent, we show how to enforce guidance by ordering the different possible plans. As a major contribution, we demonstrate two original utility functions that are designed from the past-experiences of the action executions, and that can be combined accordingly to the current balance policy of the agent. A use case scenario is developed to show how the agent can act, even if it suffers from unexpected changes of contexts, it does not have many experiences and whose past experiences reveals some failure cases
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Jones, Kevin Leslie. "Intelligence and command at the operational level of war : the British Eighth Army's experience during the Italian Campaign of the Second World War 1943-1945." Thesis, University College London (University of London), 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.497686.
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Intelligence was declared by Clausewitz to be a source of uncertainty on the battlefield, and he advised commanders to rely on their intuition instead. It is a paradox of the Second World War that when, as never before, an abundance of intelligence was available to Allied commanders, Clausewitz's dictums still influenced some of their operational decisions. This thesis explores this duality, and how it influenced the relationship between intelligence and command at the operational level of war during the conflict. It does so through the medium of the British Army, in particular Eighth Army's operational performance - under Bernard Montgomery, Oliver Leese and Richard McCreery - at defining moments of the Italian campaign. The thesis demonstrates the ambiguity present within the British Army's doctrinal attitude towards intelligence at the operational level, which was reflected in the . tardiness with which intelligence was incorporated into the army's operational machinery during the first half of the war. That this was eventually achieved was illustrated by the general efficacy of Eighth Army's intelligence organisation in Italy, and the viability of its intelligence product. Nevertheless, the peculiarities of the Italian theatre reduced the productiveness of the chief sources of intelligence, and created occasional, but critical, gaps in the intelligence picture. This only partially explains, however, why Eighth Army's operational performance in Italy was punctuated by intelligence failure. Under Montgomery and Leese, intelligence was merely an ancillary, and often sidelined, tenet of their operational technique, and it was only under McCreery that Eighth Army practised intelligence-led warfare. These findings seriously question the historiographical belief that, by the second half of the war, the British Army had fully and unconditionally incorporated intelligence into its operational considerations, and that commanders were willing to act upon it and fashion their operational methods according to its dictates.
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Shi, Bin. "A Mathematical Framework on Machine Learning: Theory and Application." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3876.
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The dissertation addresses the research topics of machine learning outlined below. We developed the theory about traditional first-order algorithms from convex opti- mization and provide new insights in nonconvex objective functions from machine learning. Based on the theory analysis, we designed and developed new algorithms to overcome the difficulty of nonconvex objective and to accelerate the speed to obtain the desired result. In this thesis, we answer the two questions: (1) How to design a step size for gradient descent with random initialization? (2) Can we accelerate the current convex optimization algorithms and improve them into nonconvex objective? For application, we apply the optimization algorithms in sparse subspace clustering. A new algorithm, CoCoSSC, is proposed to improve the current sample complexity under the condition of the existence of noise and missing entries.
Gradient-based optimization methods have been increasingly modeled and inter- preted by ordinary differential equations (ODEs). Existing ODEs in the literature are, however, inadequate to distinguish between two fundamentally different meth- ods, Nesterov’s acceleration gradient method for strongly convex functions (NAG-SC) and Polyak’s heavy-ball method. In this paper, we derive high-resolution ODEs as more accurate surrogates for the two methods in addition to Nesterov’s acceleration gradient method for general convex functions (NAG-C), respectively. These novel ODEs can be integrated into a general framework that allows for a fine-grained anal- ysis of the discrete optimization algorithms through translating properties of the amenable ODEs into those of their discrete counterparts. As a first application of this framework, we identify the effect of a term referred to as gradient correction in NAG-SC but not in the heavy-ball method, shedding deep insight into why the for- mer achieves acceleration while the latter does not. Moreover, in this high-resolution ODE framework, NAG-C is shown to boost the squared gradient norm minimization at the inverse cubic rate, which is the sharpest known rate concerning NAG-C itself. Finally, by modifying the high-resolution ODE of NAG-C, we obtain a family of new optimization methods that are shown to maintain the accelerated convergence rates as NAG-C for minimizing convex functions.
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Mosunich, Marissa Anne. "A Simulation Model for Decision Support in Business Continuity Planning." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1610.
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Enterprises with a global supply network are at risk of lost revenue as a result of disruptive disasters at supplier locations. Various strategies exist for addressing this risk, and a variety of types of research has been done regarding the identification, assessment and response to the risk of disruption in a supply chain network.
This thesis establishes a decision model to support Business Continuity Planning at the first-tier supplier level. The decision model incorporates discrete-event simulation of supply chain networks (through Simio software), Monte Carlo simulation, and risk index optimization. After modeling disruption vulnerability in a supply chain network, costs of implementing all combinations of Business Continuity Plans are ranked and then tested in discrete-event simulation for further insight into inventory levels, unmet customer demand, production loss and related costs.
A case study demonstrates the implementation of the decision support process and tests a historical set of data from a large manufacturing company. Discrete-event simulation modeling of loss is confirmed to be accurate. The relevance of the model concept is upheld and recommendations for future work are made.
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Fages, Jean-Guillaume. "Exploitation de structures de graphe en programmation par contraintes." Thesis, Nantes, Ecole des Mines, 2014. http://www.theses.fr/2014EMNA0190/document.
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De nombreuses applications informatiques nécessitent de résoudre des problèmes de décision qui sont difficiles d’un point de vue mathématique. La programmation par contraintes permet de modéliser et résoudre certains de ces problèmes, parfois définis sur des graphes. Au delà des difficultés intrinsèques aux problèmes étudiés, la taille des instances à traiter contribue à la difficulté de la résolution. Cette thèse traite de l’utilisation des graphes en programmation par contraintes, dans le but d’en améliorer la capacité de passage à l’échelle. Une première partie porte sur l’utilisation de contraintes pour résoudre des problèmes de graphes impliquant la recherche d’arbres, de chemins et de cycles Hamiltoniens. Ce sont des problèmes importants que l’on retrouve dans de nombreuses applications industrielles. Nous étudions à la fois le filtrage et les stratégies d’exploration de l’espace de recherche. Nous chercherons ensuite à nous extraire progressivement des problèmes classiquement définis sur les graphes pour exploiter ce concept sur des problèmes définis sur les entiers, voire les réels. Une seconde partie porte ainsi sur l’utilisation des graphes pour le filtrage de contraintes globales très répandues. Nous proposerons entre autres d’utiliser des graphes comme support pour décomposer dynamiquement des algorithmes de filtrage, de manière générique. Le fil conducteur de ces travaux sera d’une part l’utilisation du concept de graphe à la base de chaque raisonnement et d’autre part, la volonté pratique d’augmenter la taille des problèmes pouvant être traités en programmation par contraintesMany IT applications require to solve decision problems which are hard from a mathematical point of view. Constraint-programming enables to model and solve some of these problems. Among them, some are defined over graphs. Beyond the difficulty stemming from each of these problems, the size of the instance to solve increases the difficulty of the task. This PhD thesis is about the use of graphs within constraint programming, in order to improve its scalability. First, we study the use of constraint-programming to solve some graph problems involving the computation of trees and Hamiltonian paths and cycles. These problems are important and can be found in many industrial applications. Both filtering and search are investigated. Next, we move on problems which are no longer defined in terms of graph properties. We then study the use of graphs to propagate global constraints. In particular, we suggest a generic schema, relying ona graph structure, to dynamically decompose filtering algorithms. The central theme in this work is the use of graph concepts at the origin of every reasoning and the practical will to increase the size of problems that can be addressed in constraint-programming
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Vanet, Emmanuelle. "Distribution de l'intelligence et approche hétérarchique des marchés de l'énergie distribués dans les Smart Grids." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAT112/document.
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En lien étroit avec le projet européen DREAM, le sujet de thèse s’intègre dans les évolutions opérationnelles des réseaux de distribution de demain intégrant de larges quantités d'énergies renouvelables. Un contrôle centralisé de l'ensemble des acteurs est, certes globalement optimal mais complexe et peu fiable. L'étude porte sur la faisabilité d'un contrôle distribué, auto-adaptatif et temps réel des ressources locales et des composants du réseau. La piste principale explorée correspond à des agents autonomes qui peuvent construire des structures collaboratives ad-hoc suivant les besoins du réseau. Ces structures collaboratives adresseront divers modes de fonctionnement, du marché de l'énergie J-1 à infraday au marché d'ajustement (services systèmes) et au contrôle local (fréquence et auto-cicatrisation)In close relationship with the European project DREAM, this doctoral thesis focus on operational evolutions in tomorrow’s distribution networks wich will integrate a larger amount of distributed renewable resources. A centralized control of all the entities (from controllable loads to embedded generators) is overall optimal but complex and not so reliable. This study addresses the feasibility of a distributed control, autonomous, self-learning and real time operation of local resources and network’s components. The main concern to explore will be the creation of ad-hoc federations of agents that will flexibly adjust their hierarchy to current needs. These collaborative structures will use different coordination strategies ranging from market-based transactions, to balancing optimization market (ancillary services) and to local control (frequency control and self-healing)
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Al-Majali, Faris. "An investigation of the integration of business intelligence tools with the roles of performance management of wholesale SMEs in the UK : to enhance decision making that maintains/improves operational performance." Thesis, University of Huddersfield, 2013. http://eprints.hud.ac.uk/id/eprint/19752/.
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This thesis investigates the role of business intelligence tools (BI) in performance management activities within small to medium enterprises(SME). The purpose of this investigation is to align the features of BI tools with the performance management activities in a model that supports the roles of performance management in the targeted sector. The proposed model also considers the characteristics of SMEs by choosing the appropriate technologies to support the role of BI with regard to the limited capabilities of SMEs. In general, this research proposes a model that supports the adoption of BI tools to enhance decision making that improves performance management activities in SMEs. After identifying the influential sectors in the UK region, this investigation has targeted the wholesale industry because it is a major contributor to the national economy. In addition, the nature of the wholesale industry makes it more appropriate for the purpose of this research, to be able to generalise the results across the targeted sector. The purpose of this research is described through the research aims; these aims are 1) to encourage the use of BI tools to improve performance within the targeted sector, and 2).to remove the barriers facing wholesale SMEs when attempting to adopt BI tools. In course of this research, the accomplishment of these aims is described in a third aim, which is the principle aim of the research. This aim is to establish the basis for a new policy that encourages and promotes the adoption of BI tools in performance management activities, to enhance decision making that improves performance management within wholesale SMEs in the UK. The features of the proposed model incorporate the defined BI tools and the performance management activities with the factors that influence 1) the strengths and weaknesses of SMEs in general, 2) performance management in wholesale SMEs and 3) the adoption of BI tools. The proposed model was developed through a literature survey that identifies the critical success factors (CSFs) that influence the functions of the model, the performance management activities at the operational level of performance management, and the appropriate BI tools that enhance decision making to improve the performance management activities. The model is further validated using a quantitative questionnaire survey using to validate the model within wholesale SMEs in the UK. And finally, the practicality of the proposed model in real life situations is evaluated through an interview with a manager of a wholesale SME.
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Chraibi, Abdelahad. "A decision making system for operating theater design : application of facility layout problem." Thesis, Saint-Etienne, 2015. http://www.theses.fr/2015STET4017/document.
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Dans les dernières décennies, l'augmentation de la consommation des services de soins et la croissance de la population ont fait de l'élimination du gaspillage et l'amélioration continue de la productivité de plus en plus cruciale pour les hôpitaux. La productivité et l'efficacité d'un hôpital dépendent des conditions de travail des soignants qui sont influencés fortement par l'organisation des lieux de travail et des installations [Dares (2013)]. L’agencement des installations consiste à "déterminer l'organisation physique d'un système de production et de trouver l’arrangement le plus efficace de ‘n’ installations dans ‘n’ positions" [Singh et Sharma (2006)]. L’agencement des installations a un grand impact sur la productivité et l'efficacité du fonctionnement d'un hôpital. Etant conscient de ce besoin, le travail que nous présentons vise à trouver une solution à l’agencement des salles du Bloc Opératoire "le coeur de l'hôpital", ainsi que les salles annexes en proposant un outil intelligent que nous mettons à la disposition des maitres d’ouvrages pour optimiser leur conception du bloc opératoire. Les méthodes que nous avons explorées pour la réalisation de ce travail sont les méthodes exactes, les heuristiques, les métaheuristiques et les méthodes intelligentes, ce qui nous a permis de comparer les différentes approches afin de fournir la meilleure solution pour différents scénarios de problèmes. Nous présentons les contributions majeures de notre travail, à commencer par l'application de la programmation mathématique en nombres entiers mixtes (Mixed Integer Programming (MIP)) pour résoudre le problème d’agencement du bloc opératoire (Operating Theater Layout Problem (OTLP)) comme la première contribution scientifique. Ce travail considère trois structures différentes (multi-section, multi-étage et multi-rangé) dans deux types d'environnement différents, tout en optimisant deux fonctions objectifs différents. La combinaison de ces différentes composantes donne lieu à neuf modèles MIP pour résoudre l’OTLP pour lesquels une solution optimale a été atteinte pour des problèmes avec jusqu'à quarante salles. L'utilisation de Systèmes Multi-Agents (MAS) pour résoudre le problème d’agencement des installations est la deuxième contribution scientifique que nous présentons dans le cinquième chapitre. Dans la littérature, on retrouve un seul travail [Tarkesh et al., (2009)] ayant appliqué le MAS pour résoudre des problèmes de petites tailles, ce qui rend notre travail, le premier adoptant MAS pour répondre à la fois le FLP sous environnement statique et dynamique pour des problèmes de grande taille en utilisant un algorithme en trois étapes pour résoudre OTLP. La plate-forme multi-agents développée exploite les trois différents protocoles de communication d’agents, à savoir la coordination, la coopération et la négociation pour concevoir différentes architectures d’agents afin de faire face à l’OTLP statique et dynamique. La dernière contribution consistant en l'utilisation de l’optimisation par essaim de particules (Particle Swarm Optimization (PSO)) sous une représentation continue de l’espace de recherche pour résoudre le problème d’agencement multi-rangée est présentée dans le sixième chapitre. Puisque la PSO est généralement utilisé pour résoudre les problèmes d’affectation ou les FLP avec une représentation discrète, la formulation actuelle est parmi les rares travaux traitant la représentation continue du FLP. Nous avons conçu une nouvelle technique de codage des particules et des heuristiques appropriées pour générer des solutions initiales et pour effectuer la procédure de recherche locale. Une autre nouveauté est liée à l'application de la PSO à un problème de structure multi-rangé, qui n'a pas été abordé auparavant car à notre connaissance, les travaux avec la PSO ont formulé le FLP comme une structure d’une seule rangée ou dans le meilleur des scénarios, comme une structure à deux rangéesIn the last decades, the important increasing consumption of health care and the growing of population make elimination of waste and continuous productivity improvement more and more critical for hospitals to provide their care services effectively and efficiently. The productivity and efficiency of a hospital depends on the caregivers working conditions, which are impacted greatly by the work place and the facilities organization [Dares (2013)]. Facilities planning “determines the physical organization of a production system and finding the most efficient arrangement of ‘n’ indivisible facilities in ‘n’ locations” [Singh & Sharma (2006)]. Thus, facilities planning has a great impact on the productivity and efficiency of running a hospital. Being aware of this need, the work we present aims to find a solution to facilities planning for the Operating Theater “the heart of hospital” by proposing an intelligent tool we make available to decision makers for optimizing their operating theater design. Our research work focuses on the use of operational research methods in order to find a solution for this optimization problem. Methods we explored for the realization of this work were variant, namely exact algorithm, heuristics, metaheuristics and intelligent methods, which allow us to compare different issues in order to provide the best solution to different scenarios of problems. Thus, in this dissertation we present the major contribution of our work, starting with the application of Mixed Integer Programming (MIP) to solve Operating Theater Layout Problem (OTLP) as the first scientific contribution. This work considers three different formulations (i.e. the multi-sections, the multi-floors and the multi-rows) in two different environment types (i.e. static and dynamic) while optimizing two different objective functions (i.e. to minimize the total traveling cost and to maximize the total adjacency rate). The combination of these different components gives rise to nine MIP models to solve the OTLP for which optimal solution was provided to problems with until forty facilities. These contributions are presented in the third and fourth chapters. The use of Multi-Agent System (MAS) to solve Facility Layout Problem (FLP) is the second scientific contribution we present in chapter five. In literature, only one work [Tarkesh et al., (2009)] applied the MAS to solve small sized problems, which makes our work the first one adopting MAS to address both the static and dynamic FLP for large sized problems using a novel algorithm running in three steps to solve OTLP. The developed multi-agent platform exploit the three different agents’ protocols of communication, namely coordination, cooperation and negotiation to conceive different agents’ architectures to deal with the static and dynamic OTLP. The last contribution consisting on the use of Particle Swarm Optimization (PSO) under continuous layout representation to solve multi-rows FLP is presented in chapter six. Since the PSO is generally used to solve assignment problems or discrete FLP, the actual formulation is among the few works dealing with the continuous one. This leads us to conceive a novel encoding technique and the appropriate heuristics to generate initial solutions and to perform the local search procedure. Another novelty is related to the application of PSO to a multi-rows layout problem, which was not addressed before. To the best of our knowledge, PSO works usually formulate the FLP as a single row or in the best of scenarios, as a double-rows problem
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Carn, Allen Lloyd. "Self-leadership to Servant Leadership: A Metatheoretical Antecedent to Positive Social." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6184.
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A majority of current leadership programs are failing to deliver a comprehensive approach to leadership development by not providing middle and frontline managers the skills to enhance their potential to develop others. In failing to generate a comprehensive system, animosity towards all types of leadership has been festering for over 40 years as first identified by Greenleaf in 1977. The purpose of the study was to establish a link between the theoretical paradigms of servant leadership and self-leadership using the lens of emotional intelligence to generate an integral leadership development framework. The conceptual framework used Goleman et al.'s version of emotional intelligence, Spears's model of servant leadership, and Manz's concepts of self-leadership. The research question examined the interrelationship between the three theoretical paradigms and used the analysis to create a theoretical framework. A paradigm and systematic word search phrase yielded an initial sample of 1356 research articles. Using text scrutinization to achieve saturation, I used 342 articles to evaluate the gap between the three theoretical paradigms. The analysis of the secondary data used Edwards's approach to metatheory-building. The results yielded the beginnings of a new theory of self-perpetuating leadership style called sustainable leadership. Also noted based on the literature a serious absence of ethics, morality, or spirituality in leadership development. This study is important because it uses a holistic framework based on development techniques found in three theoretical leadership paradigms to help aspiring leaders to develop others. The positive social change that may result is an improvement in leadership skills, over time, through a comprehensive approach to leadership development for aspiring leaders.
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Bougueng, Tchemeube Renaud. "Location-Aware Business Process Management for Real-time Monitoring of Patient Care Processes." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24336.
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Long wait times are a global issue in the healthcare sector, particularly in Canada. Despite numerous research findings on wait time management, the issue persists. This is partly because for a given hospital, the data required to conduct wait times analysis is currently scattered across various information systems. Moreover, such data is usually not accurate (because of possible human errors), imprecise and late. The whole situation contributes to the current state of wait times.
This thesis proposes a location-aware business process management system for real-time care process monitoring. More precisely, the system enables an improved visibility of process execution by gathering, as processes execute, accurate and granular process information including wait time measurements. The major contributions of this thesis include an architecture for the system, a prototype taking advantages of commercial real-time location system combined with a business process management system to accurately measure wait times, as well as a case study based on a real cardiology process from an Ontario hospital.
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Ait, Ouassarah Azhar. "ADI : A NoSQL system for bi-temporal databases." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI046/document.
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La complexité et la dynamique de l'environnement dans lequel évolue chaque entreprise requiert de la part de ses managers la capacité de prendre des décisions pertinentes dans un laps de temps très court afin de s'accroître. Pour cela, l'analyse des données générées par l'activité de l'entreprise peut être une précieuse source d'information. L'Intelligence Opérationnelle (IO) est une classe de systèmes d'aide à la décision permettant aux managers d'avoir une très bonne compréhension de la situation de l'entreprise, à travers l'analyse de l'activité passée et présente. Dans ce contexte, les notions de temps et de traçabilité sont primordiales dans la compréhension de l'évolution de l'activité de l'entreprise à travers le temps. Dans cette thèse, nous présentons Axway Decision Insight (ADI), une solution d'IO développée par Axway. Son composant clé est un SGBD orienté-colonnes et bi-temporel développé en interne par l'entreprise pour répondre aux besoins spécifiques de l'IO. Ses capacités bi-temporelles lui permettent de gérer nativement aussi bien l'évolution des données dans la réalité modélisée (temps de validité) que l'évolution des données dans la base de données (temps de transaction). Nous commencerons par présenter la solution ADI en nous focalisant sur deux éléments importants: 1) l'interface graphique qui permet la conception et l'utilisation d'ADI sans écrire la moindre ligne de code. 2) L'approche adoptée pour modéliser les données bi-temporelles. Ensuite, nous présenterons un benchmark bi-temporel destiné ADI.Après cela, nous présenterons deux optimisations pour ADI. La première permet de pré-calculer et matérialiser les opérations d'agrégation, ce qui permet de réduire le temps nécessaire à la mise à jour de interface graphique d'ADI. La deuxième optimisation ordonne l'exécution des opérateurs de jointure des plans de requêtes en utilisant un modèle coût basé sur des statistiques sur des données bi-temporelles. Pour ces optimisations, nous avons effectué des expérimentations en utilisant notre benchmark, et qui ont démontré leurs intérêtsNowadays, every company is operating in very dynamic and complex environments which require from its managers to have a deep understanding of its business in order to take rapid and relevant decisions, and thus maintain or improve their company's activities. They can rely on analyzing the data deluge generated by the company's activities. A new class of systems has emerged in the decision support system galaxy called "Operational Intelligence" (OI) to meet this challenge. The objective is to enable operational managers to understand what happened in the past as well as what is currently happening in their business. In this context, the notions of time and traceability turns out to play a crucial role to understand what happened in the company and what is currently happening in the company. In this thesis, we present "Axway Decision Insight" (ADI), an "Operational Intelligence" solution developed by Axway. ADI's key component is a proprietary bi-temporal and column-oriented DBMS that has specially been designed to meet OI requirements. Its bi-temporal capabilities enable to catch both data evolution in the modeled reality (valid time) and in the database (transaction time).We first introduce ADI by focusing on two topics: 1) the GUI that makes the platform "code-free". 2) The adopted bi-temporal modeling approaches. Then we propose a performance benchmark that meets ADI's requirements. Next, we present two bi-temporal query optimizations for ADI. The first one consists in redefining a complex bi-temporal query into: 1) a set of continuous queries in charge of computing aggregation operations as data is collected. 2) A bi-temporal query that accesses the continuous queries' results and feeds the GUI. The second one is a cost-based optimization that uses statistics on bi-temporal data to determine an "optimal" query plan. For these two optimizations, we conducted some experiments, using our benchmark, which show their interests
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Marshall, Jak. "Models of intelligence operations." Thesis, Lancaster University, 2016. http://eprints.lancs.ac.uk/81659/.
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It is vital to modern intelligence operations that the cycle of gathering, analysing and acting upon intelligence is as efficient as possible in the face of an ever increasing volume of available information. The collection, processing and subsequent analysis aspect of the intelligence cycle is modelled as a novel finite horizon Bayesian stochastic dynamic programming problem, namely the multi-armed bandit allocation (MABA) problem. The MABA framework models the efforts of a processor to search for intelligence items of the highest importance by making sequential samples from a collection of intelligence sources. Through Bayesian learning the processor learns about the importance distributions of the available sources over time, select a source from which to sample at each decision epoch, and decides whether or not to allocate sampled items for analysis. For source selection, a novel Lagrangian based index heuristic is developed and its performance is compared to existing index heuristics including knowledge gradient and Thompson sampling methods. The allocation policy is handled by thresholds which act as Lagrangian multipliers of the original MABA problem. Both a discrete Dirichlet-Multinomial and a continuous Exponential-Gamma-Gamma implementation of the MABA problem are developed, where the latter also models uncertainty in the processor's own ability to accurately assess the importance of sampled items.
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Angelides, Marios. "Developing the didactic operations for intelligent tutoring systems : a synthesis of artificial intelligence and hypertext." Thesis, London School of Economics and Political Science (University of London), 1992. http://etheses.lse.ac.uk/1353/.
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This thesis is concerned with Intelligent Tutoring Systems. It investigates the architecture of an Intelligent Knowledge Based Tutoring System in terms of three knowledge models: that of the domain, the student and the tutor, and examines the interrelatedness and interconnectedness of these three knowledge models. Existing Knowledge Based Tutoring Systems are reviewed, and the relationship between their behaviour and architecture is analysed by evaluating them against Wenger's model of a didactic operation. Two such systems, PROUST, a tutoring system for Pascal program debugging skills, and micro-SEARCH, a tutoring system for mathematical transformations skills, are used in the study. This evaluation serves two purposes: to unravel the requirements for interrelatedness and interconnectedness between the three knowledge models in order to develop a true Knowledge Based Tutoring System with a full-scale didactic operation, and to uncover the limitations of the current generation of Knowledge Based Tutoring Systems and how they fail to fully encompass these requirements. On this basis the thesis goes on to propose a hybrid model made up of Artificial Intelligence and Hypertext concepts which helps to overcome the limitations of existing Knowledge Based Tutoring Systems. This model in particular addresses the requirements for the development of an Intelligent Tutoring Systems with a full-scale didactic operation. The model integrates Hypertext's explicit information nodes and linking properties with Artificial Intelligence's logical inferencing on knowledge representation schemes. The thesis finally shows how to use this model to design a generic Intelligent Tutoring System that supports a full-scale didactic operation.
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Takacs, Gergely. "Integration of CTI into security management." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74246.
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Current thesis is a documentative approach to sum up experiences of a practical projectof implementing Cyber Threat Intelligence into an existing information securitymanagement system and delivering best practices using action design researchmethodology. The project itself was delivered to a multinational energy provider in 2017.The aim of the CTI-implementation was to improve the information security posture ofthe customer. The author, as participant of the delivery team presents an extensive reviewof the current literature on CTI and puts the need for threat intelligence into context. Theauthor claims that traditional security management is not able to keep up with currentcybersecurity threats which makes a new approach required. The thesis gives an insightof an actually working and continuously developed CTI-service and offers possible bestpractices for InfoSec professionals, adds theoretical knowledge to the body of knowledgeand opens up new research areas for researchers.
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Quinzani, Cecilia Morais. "Otimização multiobjetivo de portfolios utilizando algoritmos evolutivos." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259756.
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Orientadores: Raul Vinhas Ribeiro, Antonio Carlos MorettiDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
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Resumo: O desenvolvimento das áreas tradicionais da engenharia tem sido caracterizado pelo crescente emprego de modelos de otimização como paradigmas para problemas de tomada de decisão. Quando estes modelos possuem mais de um objetivo são chamados de Problemas de Otimização Multiobjetivo (POM) e uma alternativa apropriada na resolução deste tipo de problema é a utilização de Algoritmos Evolutivos. Os Algoritmos Evolutivos (AE) simulam o processo de evolução natural. Simplificadamente, o conjunto de soluções candidatas (população) sobre o qual operam as metodologias é modificado utilizando dois princípios básicos de evolução: seleção e variação. O objetivo principal desta dissertação consiste na análise da aplicação de Algoritmos Evolutivos na otimização multiobjetivo de portfólios onde o importante é obter uma correlação ótima entre retorno e risco. Diversos algoritmos evolutivos foram analisados na dissertação, sendo também analisadas versões híbridas dos mesmos. A principal contribuição da dissertação é a proposta de um procedimento de refinamento das soluções que se baseia no comportamento da série histórica para gerar uma população inicial mais adequada. Uma comparação do desempenho dos diferentes algoritmos híbridos com e sem este refinamento da solução foi realizada e o algoritmo com melhor desempenho foi identificado
Abstract: The development of traditional areas of engineering has been characterized by the increasing use of optimization models as paradigms for decision making problems. when these models have more than one objective, they are called multi-objective optimiation problems (POMs), and are a suitable alternative in solving this kind of problem is the usage of Evolutionary Algorithms (EAs). The EAs simulate the process of natural evolution. Briefly, the set of candidate solutions (population) in which the methodologies operate is modified using two basic principles of evolution: selection and variation. The main objective of this dissertation is to review the application of Evolutionary Algorithms in Multiobjective optimization of portfolios in which it is important to obtain an optimal correlation between return and risk . Several evolutionary algorithms have been analyzed in the dissertation, and also analyzed hybrid versions of the same. The main contribution of the dissertation is to propose a procedure for the refinement of solutions based on the behavior of the series to generate a better initial population. A comparison of the performance of different algorithms hybrids with and without this refinement of the solution was performed and the algorithm with best performance was identified
Mestrado
Automação
Mestre em Engenharia Elétrica
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Ekman, Olof, and Ziyad Noya. "Artificiell intelligens i den svenska banksektorn : En studie om digitalisering och artificiell intelligens betydelse för den svenska banksektorn samt dess påverkan på risker och kundnöjdhet utifrån ett lönsamhetsperspektiv." Thesis, Södertörns högskola, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-38507.
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The purpose of this study was to look closely at digitalization and the phenomenon of artificial intelligence and how it was implemented into the Swedish banking sector. The focus was on what constitutes digitalization and artificial intelligence and what impact it has had on risks and customer satisfaction among Sweden's four largest banks. The authors chose a triangular research method in order to answer the three main issues that the study intended to investigate. In order to conduct interviews, contact with potential interview objects was taken as a first step in order to then prioritize the interviewees who had a higher level of expertise and knowledge of the study's research subject. This instead of the quantity in the number of interview objects. This is to collect a more credible and relevant data for the empirical part of the thesis. The study showed that the consensus of the respondents at an early stage agreed that the implementation of AI was based on a curiosity to explore this new technology. Furthermore, it also showed that this process went from being quite standardized to a more non-linear process where each individual bank formed it’s own system best suited to their needs and customers. In order to prove the qualitative study, the authors have, through a quantitative part, tried to examine the variables of profitability, customer satisfaction and risk since the implementation of the AI/digitization took place to see if there was any form of connection. The results of the study show strong links wit how the profitability, customer satisfaction, risks and artificial intelligence/digitalisation belong in the banking sector. Furthermore, the research found that the implementation of AI has been a necessity for the banks' continued development and survival.
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Smogner, Peter, and Niklas Johnson. "How to enhance Shareholder Value through a Customer support in the Insurance industry : A BUSINESS DRIVEN APPROACH TOWARDS MOBILE- AND SELF-SERVICE- BUSINESS INTELLIGENCE." Thesis, KTH, Industriell Management, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-133359.
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An increased competitive climate has enhanced the importance for companies to differentiate from other companies. Today, the customer support within service organizations are often disregarded as a source of value due to the focus on costs. Further, it has become more important to leverage the contact with the customer at all encounters. New technological advancements within Business Intelligence have also enabled companies to increase their competitiveness through improved decision support. The objective of this thesis is through a case study investigate how an insurance company could leverage its customer support as a source of creating shareholder value as well as how to apply trends within Business Intelligence for increased decision support. This was done through developing a conceptual model based on academic theory in order to provide a tool for analysis and development of a customer support. The research questions intends to investigate how an customer support can contribute to, and balance a focus on service quality, costs and sales in order to enhance shareholder value. A business driven approach was further used in order to understand how a customer support could leverage the emerging trends of Business Intelligence. This since the thesis also aims to provide some first insights into how to leverage the trends of mobile- and Self-Service- Business Intelligence within the customer support within insurance companies. The research emphasizes the need to have a holistic view of what drives value and costs with regard to the retention, growth and acquisition of customers when viewing the customer support as a source of value. The thesis concludes that both the trends of mobile- and Self-Service- Business Intelligence could enable an insurance company to gain new insights through utilizing existing internal as well as external data in order to conduct a more continuous and flexible analysis of important matters.
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Tekin, Müge. "Competitive intelligence analytics for operations managers." Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/663488.
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This thesis incorporates three studies that revolve around competitive intelligence of a firm, available data sources and improvement of operations through data-informed decision-making. The studies cover a range of topics in the field of operations research: revenue management, capital budgeting decisions and social learning. Chapter 1 presents a new econometric method for estimating customer choice model parameters based on competitor intelligence data. Chapter 2 combines public data on social review platforms with demographic and geographic data to inform facility location and product design decisions in service based industries such as restaurants and hotels. Chapter 3 investigates the effect of social reputation platforms on customer behavior and assesses whether these platforms transmit the general customer opinion. Overall, the studies provide novel theoretical reflections and practical ways through which businesses can implement competitive intelligence to add value to their operations.Esta tesis está compuesta por tres estudios que giran en torno a la inteligencia competitiva de una firma, las fuentes de datos disponibles y la mejora de las operaciones a través de la toma informada de decisiones. Los estudios cubren una variedad de temas en el campo de la investi-gación de operaciones: administración de ingresos, decisiones sobre el presupuesto de capital y aprendizaje social. El Capítulo 1 presenta un nuevo método econométrico para estimar los parámetros de modelos de toma de decisiones del consumidor basado en base a datos de in-teligencia competitiva. El Capítulo 2 combina datos públicos, disponibles en las plataformas de reseña social, con datos demográficos y geográficos para informar la ubicación de instalaciones y las decisiones de diseño de productos en industrias basadas en servicios, como restaurantes y hoteles. El Capítulo 3 investiga el efecto de las plataformas de reseña social en el com-portamiento del consumidor y evalúa si estas plataformas transmiten la opinión general de los clientes. En términos generales, los estudios proporcionan nuevas reflexiones teóricas y formas prácticas a través de las cuales las empresas pueden implementar inteligencia competitiva para agregar valor a sus operaciones.
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Pugh, Randolph G. "Refocusing intelligence support to counterinsurgency operations." Quantico, VA : Marine Corps Command and Staff College, 2008. http://handle.dtic.mil/100.2/ADA491196.
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Chu, Rose Wan-Mui. "Towards the tutor/aid paradigm: design of intelligent tutoring systems for operations of supervisory control systems." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/25485.
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Kaboli, Mohammad Hadi. "Operational research on an urban planning tool : application in the urban development of Strasbourg 1982." Phd thesis, Université de Strasbourg, 2013. http://tel.archives-ouvertes.fr/tel-01057695.
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The impact of spatial characteristics on the dynamics of urban development is a topic of great interest in urban studies. The interaction between the residents and the spatial characteristics is of particular interest in the context of urban models where some of the most famous urban models have been based on the process of individual settlements in some specific parts of cities.This research investigates the dynamism of urban development modeled by Cellular Automata and Multi-Agent System. The urban development, in this study embraces urban renewal and residential mobility. It corresponds to the residential mobility of households, attracted by residential and centrality comfort; these comforts are crystallized in some areas and residences of Strasbourg. The diversity and quality of these comforts become criteria for residential choice in a way that the households seek for proximity to these comforts.The Cellular Automata in this study, models the spatial characteristics of urban spatial units and they are identified by some inherent attributes that are equal to the comfort in residences and urban areas. The Multi- Agent System represent a system in which the population of the city interact between them and between them and the city; the agents delegate the socio-professional classes of households. During the spatiotemporal change, the aspiration of households forms the socio-spatio-temporal development of the city.
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PINSON, ARQUETOUT SUZANNE. "Meta-modele et heuristiques de jugement : le systeme credex, application a l'evaluation du risque credit entreprise." Paris 6, 1987. http://www.theses.fr/1987PA066582.
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Developpement d'un systeme expert, appele credex, qui a pour but d'aider les analystes financiers des banques a evaluer le risque afferent a l'attribution de prets a des entreprises. Credex est ecrit en snark. Son originalite reside dans: 1) son utilisation des modeles multiattributs de traitement de l'information pour combiner les elements de risque; 2) sa structure multi experts controlee au niveau superieur par un metamodele; 3) sa possibilite de batir une strategie d'evaluation adaptee a chaque entreprise candidate a un pret
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Almanza, Inchaustegui Gerardo. "Factores que identifiquen la necesidad de implementar los sistemas de business intelligence a fin de mejorar la toma de decisiones en los procesos operativos del sector diagnóstica." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/625865.
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La presente investigación tiene por objetivo, exponer los factores que hacen necesaria la implementación de Business Intelligence con el fin de mejorar la toma de decisiones, que influyen directamente en la eficiencia de los procesos operativos de importación del sector Diagnóstica. Esta investigación se divide en 5 capítulos, en las que se usó el método científico detallado en el libro Metodología de la Investigación, el cual presenta a la investigación como un proceso sistemático, los capítulos están comprendidos por marco teórico, plan de investigación, metodología, desarrollo y aplicación, y análisis de los resultados. Asimismo, se busca identificar que, con esta herramienta informática, se podrá tener la posibilidad de mejorar los procesos operativos de importación. Para finalizar, se comprobará la relación existente entre las dos variables estudiadas Business Intelligence para la mejor toma de decisiones y la eficiencia de los Procesos Operativos, con el fin optimizar la cadena de valor y presentar una herramienta de innovación para el mundo de los negocios internacionales. Para ello, se realizaron análisis cuantitativos y cualitativos, y se empleó la herramienta de SPSS para mostrar el Análisis Factorial y Discriminante.The objective of this research is to expose the factors that make it necessary to implement Business Intelligence in order to improve decision making, which directly influence the efficiency of the importation processes of the Diagnostic sector. This research is divided into 5 chapters, in which the scientific method detailed in the book Methodology of Research was used, which presents research as a systematic process, the chapters are comprised by theoretical framework, research plan, methodology, development and application, and analysis of results. Likewise, it is sought to identify that, with this computer tool, it will be possible to have the possibility of improving the import operational processes. Finally, the relationship between the two variables studied Business Intelligence for the best decision making and the efficiency of the Operational Processes will be verified, in order to optimize the value chain and present an innovation tool for the world of international business. For this, quantitative and qualitative analyzes were carried out, and the SPSS tool was used to show the Factorial and Discriminant Analysis
Tesis
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Pinkas, Miroslav. "Zlepšení procesů řízení rizik v pojišťovně pomocí DSS a BI." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-149906.
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The thesis is concerned with application of Decision Support Systems and Business Intelligence as a tool for decision-making support into processes of operational risk management in insurance company to improve them and reach a higher corporate performance.The goal of the thesis is to analyze a theory for a support of a process improvement design with the mentioned reach and to develop a design of improved operational risk management processes in a particular insurance company. The mean to reach goals is through-out a literature and articles research regarding a process improvement, decision-making, models and technologies of DSS and BI, and risk management. The theoretical framework is then used as back-bone for implementation of a practical part of innovated processes design. The thesis offers the analysis of an area of risk management processes improvement via DSS and BI in an insurance company that has been researched relatively little, but whose principles can be used for improvement projects in different areas too. A department of operational risk management in a certain insurance company obtains a complete design of innovated processes including DSS / BI application support specification which respects modern techniques of process improvements involving specific methods of decision-making quality. For the same department a part of the design was implemented -- Knowledge management system, that can be fully used. Introductory part of the thesis is concerned with techniques of business process improvement and its alignment with corporate performance. The next chapter describes specifics of operational risk management processes. In the third one models, techniques, information technologies of Decision Support Systems and Business Intelligence disciplines are analyzed. The practical part of the text starts with strategic analysis of the insurance company, proceeds with operational risk management processes analysis and reaches the design of innovated processes involving DSS and BI application support. Benefits of designed processes' changes are verified. In the conclusion a certain process change is accepted for the implementation and its results are described.
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GOMIDES, Lauro Ramon. "Estudo de Técnicas de Otimização de Sistemas Hidrotérmicos por Enxame de Partículas." Universidade Federal de Goiás, 2012. http://repositorio.bc.ufg.br/tede/handle/tde/973.
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Previous issue date: 2012-06-21Particle Swarm Optimization has been widely used to solve real-world problems, including the operation planning of hydrothermal generation systems, where the main goal is to achieve rational strategies of operation. This can be accomplished by minimizing the high-cost thermoelectric generation, while maximizing the low-cost hydroelectric generation. The optimization process must consider a set of complex constrains. This work presents the application of some recently proposed Particle Swarm Optimizers for a group of hydroelectric power plants of the Brazilian interconnected system, using real data from existing plants. There were performed some tests by using the standard PSO, PSO-TVAC, Clan PSO, Clan PSO with migration, Center PSO, and one approach proposed in this work, called Center Clan PSO, over three different mid-term periods. All PSO approaches were compared to the results achieved by a Non-linear Programming algorithm (NLP). Furthermore, another approach was proposed, based on Center PSO, named Extended Center PSO. It was observed that the PSO approaches presented as promising solutions to the problem, even better than NLP in some cases.
A Otimização por Enxame de Partículas tem sido amplamente utilizada na solução de problemas do mundo real, inclusive para o problema do planejamento da operação de sistemas de geração hidrotérmicos, em que o principal objetivo é encontrar estratégias racionais de operação. A solução é obtida através da minimização da geração térmica, alto custo, enquanto maximiza-se a geração hidrelétrica, que é de baixo custo. O processo de otimização deve considerar um conjunto complexo de restrições. Este trabalho apresenta a aplicação de uma abordagem recente chamada de Otimização por Enxame de Partículas para o problema com um grupo de usinas hidrelétricas do sistema interligado brasileiro, utilizando dados reais das usinas existentes. Foram realizados testes usando o PSO original, PSO-TVAC, Clan PSO, Clan PSO com a migração, Center PSO, e uma abordagem proposta neste trabalho, denominada Center Clan PSO, ao longo de três diferentes períodos de médio prazo. Todas as abordagens PSO foram comparadas com os resultados obtidos por um algoritmo de programação não linear (NLP). Além disso, uma outra abordagem foi proposta, com base no algoritmo Center PSO, chamada Extended Center PSO. Observou-se que as abordagens PSO apresentaram resultados promissores na solução do problema, com resultados até mesmo melhores, em alguns casos, que os obtidos pelo NLP.
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Bari, Gabor. "Intelligence architecture in the Hungarian Special Operations Forces." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Jun%5FBari.pdf.
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Dortbudak, Mehmet Fevzi. "The intelligence requirement of Psychological operations in counterterrorism." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Dec/08Dec%5FDortbudak.pdf.
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Thesis (M.S. in Defense Analysis)--Naval Postgraduate School, December 2008.Thesis Advisor(s): Rothstein, Hy. "December 2008." Description based on title screen as viewed on January 29, 2009. Includes bibliographical references (p.85-88 ). Also available in print.
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Beisecker, Elise K. "Framework for robust design: a forecast environment using intelligent discrete event simulation." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43678.
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The US Navy is shifting to power projection from the sea which stresses the capabilities of its current fleet and exposes a need for a new surface connector. The design of complex systems in the presence of changing requirements, rapidly evolving technologies, and operational uncertainty continues to be a challenge. Furthermore, the design of future naval platforms must take into account the interoperability of a variety of heterogeneous systems and their role in a larger system-of-systems context. To date, methodologies to address these complex interactions and optimize the system at the macro-level have lacked a clear direction and structure and have largely been conducted in an ad-hoc fashion. Traditional optimization has centered around individual vehicles with little regard for the impact on the overall system. A key enabler in designing a future connector is the ability to rapidly analyze technologies and perform trade studies using a system-of-systems level approach.
The objective of this work is a process that can quantitatively assess the impacts of new capabilities and vessels at the systems-of-systems level. This new methodology must be able to investigate diverse, disruptive technologies acting on multiple elements within the system-of-systems architecture. Illustrated through a test case for a Medium Exploratory Connector (MEC), the method must be capable of capturing the complex interactions between elements and the architecture and must be able to assess the impacts of new systems). Following a review of current methods, six gaps were identified, including the need to break the problem into subproblems in order to incorporate a heterogeneous, interacting fleet, dynamic loading, and dynamic routing. For the robust selection of design requirements, analysis must be performed across multiple scenarios, which requires the method to include parametric scenario definition.
The identified gaps are investigated and methods recommended to address these gaps to enable overall operational analysis across scenarios. Scenarios are fully defined by a scheduled set of demands, distances between locations, and physical characteristics that can be treated as input variables. Introducing matrix manipulation into discrete event simulations enables the abstraction of sub-processes at an object level and reduces the effort required to integrate new assets. Incorporating these linear algebra principles enables resource management for individual elements and abstraction of decision processes. Although the run time is slightly greater than traditional if-then formulations, the gain in data handling abilities enables the abstraction of loading and routing algorithms.
The loading and routing problems are abstracted and solution options are developed and compared. Realistic loading of vessels and other assets is needed to capture the cargo delivery capability of the modeled mission. The dynamic loading algorithm is based on the traditional knapsack formulation where a linear program is formulated using the lift and area of the connector as constraints. The schedule of demands from the scenarios represents additional constraints and the reward equation. Cargo available is distributed between cargo sources thus an assignment problem formulation is added to the linear program, requiring the cargo selected to load on a single connector to be available from a single load point.
Dynamic routing allows a reconfigurable supply chain to maintain a robust and flexible operation in response to changing customer demands and operating environment. Algorithms based on vehicle routing and computer packet routing are compared across five operational scenarios, testing the algorithms ability to route connectors without introducing additional wait time. Predicting the wait times of interfaces based on connectors en route and incorporating reconsideration of interface to use upon arrival performed consistently, especially when stochastic load times are introduced, is expandable to a large scale application. This algorithm selects the quickest load-unload location pairing based on the connectors routed to those locations and the interfaces selected for those connectors. A future connector could have the ability to unload at multiple locations if a single load exceeds the demand at an unload location. The capability for multiple unload locations is considered a special case in the calculation of the unload location in the routing. To determine the unload location to visit, a traveling salesman formulation is added to the dynamic loading algorithm. Using the cost to travel and unload at locations balanced against the additional cargo that could be delivered, the order and locations to visit are selected. Predicting the workload at load and unload locations to route vessels with reconsideration to handle disturbances can include multiple unload locations and creates a robust and flexible routing algorithm.
The incorporation of matrix manipulation, dynamic loading, and dynamic routing enables the robust investigation of the design requirements for a new connector. The robust process will use shortfall, capturing the delay and lack of cargo delivered, and fuel usage as measures of performance. The design parameters for the MEC, including the number available and vessel characteristics such as speed and size were analyzed across four ways of testing the noise space. The four testing methods are: a single scenario, a selected number of scenarios, full coverage of the noise space, and feasible noise space. The feasible noise space is defined using uncertainty around scenarios of interest. The number available, maximum lift, maximum area, and SES speed were consistently design drivers. There was a trade-off in the number available and size along with speed. When looking at the feasible space, the relationship between size and number available was strong enough to reverse the number available, to desiring fewer and larger ships. The secondary design impacts come from factors that directly impacted the time per trip, such as the time between repairs and time to repair. As the noise sampling moved from four scenario to full coverage to feasible space, the option to use interfaces were replaced with the time to load at these locations and the time to unload at the beach gained importance. The change in impact can be attributed to the reduction in the number of needed trips with the feasible space. The four scenarios had higher average demand than the feasible space sampling, leading to loading options being more important. The selection of the noise sampling had an impact of the design requirements selected for the MEC, indicating the importance of developing a method to investigate the future Naval assets across multiple scenarios at a system-of-systems level.
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Bell, K. R. W. "Artificial intelligence and uncertainty in power system operation." Thesis, University of Bath, 1995. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336238.
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Nkewu, Zingcwengile. "Impact of psychological wellbeing and perceived combat readiness on willingness to deploy in the SANDF : an exploratory study." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86413.
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Thesis (MComm)--Stellenbosch University, 2014.ENGLISH ABSTRACT: The South African National Defence Force (SANDF) is deploying locally, regionally and internationally for peacekeeping operations and tasks other than peacekeeping. It is imperative that it succeed in these missions in order for the country, region and the world to develop. However, in order for the SANDF to realize success those responsible for the task of peacekeeping have to be combat ready, and particularly perceive themselves to be combat ready, they have to measure high on psychological wellbeing and should have no psychosocial and/or psychological problems such as depression, anxiety and social dysfunction, but must have a high level of willingness to deploy. SANDF deployment in Africa is voluntary and depends on those members who are willing to deploy to extract Africa out of the mire of squalor and poverty and conflict. It is only when there is peace that development and proper governance can be achieved, hence the need to use the SANDF as a foreign policy tool to bring about peace in Africa. The aim of the study was to explore the impact of psychological wellbeing (PWB) general health (GH) and perceived combat readiness (PCR) on willingness to deploy (WD) in the SANDF. A non-experimental, exploratory study was employed this study. Participants were drawn from the Army (n=465) from the rank of private to colonel. Participants completed valid reliable instruments measuring PWB; PCR; GH; and WD. PWB was measured in terms of self-acceptance, positive relations with others, autonomy, purpose in life, environmental mastery, and personal growth. PCR was measured in terms of family support, confidence (in all its dimensions), morale, and cohesion and unit discipline. GH was measured in terms of somatic symptoms, anxiety/insomnia, social dysfunction and depression. WD was measured by using 12 questions with a sample question such as: “In the event of an invasion by an enemy force into the RSA, to what extent will you be willing to go into combat?” Correlation analysis was done to determine the relationship between the independent variables and the dependent variable. Multiple regression analysis was done to determine which of the independent variables contributed most to WD of members of the SANDF The results revealed a significant positive relationship between PWB (and its dimensions, except self-acceptance and positive relations with others) and WD, and PCR (and its dimensions, except unit disciple) and WD. GH was annulled for its potential not to explain any variance in the model because almost all participants scored zero on all subscales. The multiple regression analysis was in line with correlation results showing that total PCR (strongest predictor) made a significant contribution in explaining and predicting WD. PWB made a contribution in explaining and predicting WD, but not as strong as PCR. The PCR dimensions that individually contribute significantly in explaining and predicting WD are self-confidence, horizontal cohesion and confidence in the leader. The conclusion that is drawn from this study is that total PCR and total PWB contribute to willingness to deploy.
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Shpiro, Shlomo. "German-Israeli intelligence and security co-operation 1956-1992." Thesis, University of Birmingham, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.722694.
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Thomas, Merin M. B. A. Sloan School of Management. "Intelligent supplies replenishment process." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122904.
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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2019
Thesis: S.M., Massachusetts Institute of Technology, Operations Research Center, in conjunction with the Leaders for Global Operations Program at MIT, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references.
Company X is facing high cost to serve customers such as hospitals and clinics, due to irregular ordering pattern. Currently, the customer ordering process is not well planned and leads to multiple orders in a month, thereby excessive shipping and increased cost to serve. The supplies provided to customers are used for specimen collection, and the collected specimen are sent to diagnostic laboratories for analysis. Historical data on order quantities of specimen collection items (SCIs) and specimen containers returned to lab are available. This project takes advantage of the closed loop nature of the system to predict order quantities of SCIs. This project explores two replenishment strategies and compares it with the current method, through simulation.
The simulation models the daily consumption of SCIs at a chosen Patient Service Center (PSC), and estimates average inventory levels and the number of occurrences of stockouts for each SCI at the PSC, for varying values of parameters such as review period and safety stock levels. The two replenishment strategies are (a) constant order quantity, in which fixed replenishment quantities of SCIs are supplied every review period, and (b) predictive modelling replenishment strategy, in which the order quantities of SCIs are predicted using the data on specimen containers returned to diagnostic lab for analysis. For the latter strategy, multiple models for prediction, such as penalized regression, Classification and Regression Trees (CART) and Random Forest are used. Two parameters, the total replenishment costs and the number of occurrences of stockouts, are measured to evaluate the performance of the replenishment strategies.
The total cost of replenishment for constant quantity strategy is comparable to that of baseline case, whereas predictive modelling strategies have much higher cost. The constant quantity strategy with increased levels of safety stock gives best results of reducing the total cost of replenishment and minimizing the number of occurrences of stockouts.
by Merin Thomas.
M.B.A.
S.M.
M.B.A. Massachusetts Institute of Technology, Sloan School of Management
S.M. Massachusetts Institute of Technology, Operations Research Center
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Hong, Tao. "Long-Term Spatial Load Forecasting Using Human-Machine Co-construct Intelligence Framework." NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-10212008-105450/.
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This thesis presents a formal study of the long-term spatial load forecasting problem: given small area based electric load history of the service territory, current and future land use information, return forecast load of the next 20 years. A hierarchical S-curve trending method is developed to conduct the basic forecast. Due to uncertainties of the electric load data, the results from the computerized program may conflict with the nature of the load growth. Sometimes, the computerized program is not aware of the local development because the land use data lacks such information. A human-machine co-construct intelligence framework is proposed to improve the robustness and reasonability of the purely computerized load forecasting program. The proposed algorithm has been implemented and applied to several utility companies to forecast the long-term electric load growth in the service territory and to get satisfying results.
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Beers, Suzanne M. "An intelligent hierarchical decision architecture for operational test and evaluation." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/15423.
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