Dissertations / Theses on the topic 'Systems of making'
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Azarova, А. A., and А. О. Азарова. "Bank system of making decision on the basis of multilevel multi–purpose systems of making decision." Thesis, Politechnika Zielonogorska, 1998. http://ir.lib.vntu.edu.ua//handle/123456789/23610.
Full textHope, Susannah Jayne. "Decision making under spatial uncertainty /." Connect to thesis, 2005. http://repository.unimelb.edu.au/10187/1150.
Full textTwo case studies are presented. The first of these considers the effects on decision-making of including thematic uncertainty information within the context of an airport siting decision task. An extremely significant tendency to select a zone for which the thematic classification is known to be of high certainty was observed. The reluctance to select a zone for which the thematic classification is of low certainty was strong enough to sometimes lead to decision-making that can only be described as irrational.
The second case study investigates how decision-making may be affected by different representations of positional uncertainty within the context of maritime navigation. The same uncertainty information was presented to participants using four different display methods. Significant differences in their decisions were observed. Strong preferences for certain display methods were also exhibited, with some representations being ranked significantly higher than others.
The findings from these preliminary studies demonstrate that the inclusion of uncertainty information does influence decision-making but does not necessarily lead to better decisions. A bias against information of low certainty was observed, sometimes leading to the making of irrational decisions. In addition, the form of uncertainty representation itself may affect decision-making. Further research into the effects on decision-making of representing spatial uncertainty is needed before it can be assumed that the inclusion of such information will lead to more informed decisions being made.
Vlado, Veldic. "GIS for spatial decision-making." Diss., University of Pretoria, 2001. http://hdl.handle.net/2263/29747.
Full textEl, Zein Musadag. "Off-grid Wind Power Systems: Planning and Decision Making." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-396057.
Full textFairley, Andrew. "Information systems for tactical decision making." Thesis, University of Liverpool, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241479.
Full textClinch, Peter Charles. "Systems of reporting judicial decision making." Thesis, University of Sheffield, 1989. http://clok.uclan.ac.uk/20643/.
Full textBarkalow, Daniel J. (Daniel James) 1977. "On making modular artificial intelligence systems." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86648.
Full textYasarer, Hakan. "Decision making in engineering prediction systems." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/16231.
Full textDepartment of Civil Engineering
Yacoub M. Najjar
Access to databases after the digital revolutions has become easier because large databases are progressively available. Knowledge discovery in these databases via intelligent data analysis technology is a relatively young and interdisciplinary field. In engineering applications, there is a demand for turning low-level data-based knowledge into a high-level type knowledge via the use of various data analysis methods. The main reason for this demand is that collecting and analyzing databases can be expensive and time consuming. In cases where experimental or empirical data are already available, prediction models can be used to characterize the desired engineering phenomena and/or eliminate unnecessary future experiments and their associated costs. Phenomena characterization, based on available databases, has been utilized via Artificial Neural Networks (ANNs) for more than two decades. However, there is a need to introduce new paradigms to improve the reliability of the available ANN models and optimize their predictions through a hybrid decision system. In this study, a new set of ANN modeling approaches/paradigms along with a new method to tackle partially missing data (Query method) are introduced for this purpose. The potential use of these methods via a hybrid decision making system is examined by utilizing seven available databases which are obtained from civil engineering applications. Overall, the new proposed approaches have shown notable prediction accuracy improvements on the seven databases in terms of quantified statistical accuracy measures. The proposed new methods are capable in effectively characterizing the general behavior of a specific engineering/scientific phenomenon and can be collectively used to optimize predictions with a reasonable degree of accuracy. The utilization of the proposed hybrid decision making system (HDMS) via an Excel-based environment can easily be utilized by the end user, to any available data-rich database, without the need for any excessive type of training.
Drevin, Lynette. "Making sense of information systems failures." Thesis, Middlesex University, 2014. http://eprints.mdx.ac.uk/14410/.
Full textVlado, Veldic. "GIS for spatial decision-making." Pretoria : [s.n.], 2005. http://upetd.up.ac.za/thesis/available/etd-11242005-101724/.
Full textScott, Dan. "Microdata: making metadata matter." Evergreen International Conference, 2013. https://zone.biblio.laurentian.ca/dspace/handle/10219/1993.
Full textWARNING: you may come away with ideas not only for enriching your library system, but for your web site and other web-based library applications as well! Microdata enables search engines and other automated processes to make sense of the data on a web page — like identifying the title, author, and identification number of a book from all of the other content on a given page. Web pages enhanced with microdata contribute to the semantic web, and in turn are more likely to be incorporated into search engines and advanced web applications. If it sounds like we should publish microdata from Evergreen’s catalogue, you will be pleased to know that Evergreen was (naturally) the first library system to incorporate microdata in its default public catalogue with the 2.2.0 release in June 2012.
Francis, John Charles. "Qualitative system theory : a systems approach to modelling complex physical processes." Thesis, Heriot-Watt University, 1986. http://hdl.handle.net/10399/1080.
Full textGasparini, Luca. "Severity sensitive norm analysis and decision making." Thesis, University of Aberdeen, 2017. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=231873.
Full textHong, I.-Hsuan Ethan. "Decentralized Decision-making for Reverse Production Systems." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/14099.
Full textPedersen, Sindre Sønvisen. "Decentralized Decision Making in Multi-Agent Systems." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13461.
Full textKaufman, Maike Jennifer. "Local decision-making in multi-agent systems." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:e8ebc360-906d-4733-9f24-f3ed98735e89.
Full textFarve, Niaja Nichole. "Designing personal systems for mindful decision making." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105667.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 169-177).
Today's personal technologies are generally seen as reducing mindfulness. Users are so absorbed in their devices that they behave in more distracted ways, are less engaged in face-to-face social interactions and increase their sedentary behaviors. This often results in behaviors and habits that are misaligned with the user's goals. Current attempts to use technology to improve well-being, such as fitness trackers, do not take advantage of some of the benefits that mobile, personal technologies have to offer. Specifically, increasingly mobile personal technologies have the opportunity to intervene in the moment when a person is making a decision with personalized, "just-in- time" nudges that may result in a more mindful decision. This thesis explores how to design personalized, wearable technologies that can support more mindful behavior. It investigates the various challenges that exists when designing such systems-.and provides design considerations for future systems. Human behavior researchers have argued that although a user may have the motivation and the ability to change behavior, a trigger is required to make a new behavior happen. This thesis specifically focuses on considerations that should be made when designing triggers for persuasive, wearable systems. These include ensuring the user's attention, utilizing contextual cues to determine timing of triggers and using personalized messages in a trigger. The thesis presents several pilots studies in using personal, wearable technologies to offer "just-in-time" triggers for behavior. The design and implementation of these systems is detailed and preliminary data regarding their effectiveness is discussed. These systems explore what challenges emerge when applying traditional behavior change theories on personalized, wearable systems.
by Niaja Nichole Farve.
Ph. D.
Gryshchenko, O., and A. N. Dyadechko. "Marketing information systems in decision-making process." Thesis, Видавництво СумДУ, 2012. http://essuir.sumdu.edu.ua/handle/123456789/26023.
Full textEconomides, M. W. "Multiple value systems for adaptive decision-making." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1466759/.
Full textMcFarland, Sean Alan. "Decision making theory with geographic information systems support." CSUSB ScholarWorks, 2008. https://scholarworks.lib.csusb.edu/etd-project/3393.
Full textJudge, Kevin D. "Decision making in spectroscopy /." View online ; access limited to URI, 2007. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3276987.
Full textMoore, Jeanne. "Visualisation of data to optimise strategic decision making." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/25478.
Full textCalliess, Jan-Peter. "Conservative decision-making and inference in uncertain dynamical systems." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:b7206c3a-8d76-4454-a258-ea1e5bd1c63e.
Full textJohansson, Alexander. "Strategic Decision-Making in Platoon Coordination." Licentiate thesis, KTH, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-275670.
Full textUnder de kommande decennierna förväntas efterfrågan på transport av varor och passagerare mångfaldigas, vilket innebär att behovet av hållbara transportlösningar är brådskande. En lovande lösning är konvojkörning, som visar stor potential att minska bränsleförbrukningen och driftskostnaderna för lastbilar. För att utnyttja fördelarna med konvojkörning till fullo behöver lastbilar koordineras för att effektivt mötas och bilda konvojer. Den här avhandlingen behandlar koordinering av lastbilar som kan bilda konvojer på transporthubbar, där vissa lastbilar måste vänta på andra lastbilar för att bilda konvojer, och det finns en belöning för konvojkörning och en kostnad för att vänta. Tre bidrag som behandlar konvojkoordinering presenteras i den här avhandlingen. Det första bidraget behandlar koordinering av lastbilar med förutbestämda rutter i ett transportnätverk med deterministiska eller stokastiska restider. Lastbilarna ägs av konkurrerande transportföretag, och varje lastbil beslutar om sina väntetider på hubbarna längs med sin rutt för att optimera sin driftskostnad. Vi antar att lastbilar bildar en konvoj om de avgår från en hubb och kör in på vägen samtidigt. Den strategiska interaktionen mellan lastbilar när de koordinerar för konvojbildning modelleras med icke-kooperativ spelteori, och vi betraktar Nashjämvikt som lösningskoncept när lastbilarna beslutar om sina väntetider i början av sina resor. I fallet med stokastiska restider utvecklar vi även lösningar där lastbilarna tillåts uppdatera sina väntetider längs med sina resor. I en simuleringsstudie över det svenska transportnätverket visas att när lastbilarna tillåts uppdatera sina väntetider uppnås en konjovkörningsgrad på 60%. I det andra bidraget utreds modeller för att dela på vinsten från konvojkörning. Fördelarna med konvojkörning är inte lika för alla lastbilar i en konvoj; vanligtvis är fördelen större för följarlastbilarna än för ledarlastbilen. Således kan incitamenten för transportföretag att samarbeta i form av konvojkörning vara låga om inte vinsterna från konvojkörning delas. Baserat på vinstdelningsmodeller formulerar vi konvojkoordineringsspel. I en simulering av en transporthubb utvärderar vi utfallet från konvojkoordinationsspelen. Det visar sig att den totala vinsten som uppnås när lastbilarna försöker maximera sina egna vinster, men vinsten från konvojkörning jämnas ut helt bland konvojmedlemmar, är nästan lika hög som när varje lastbil försöker att maximera den totala vinsten i systemet. I det sista bidraget studeras ett koordineringsproblem där lastbilar anländer till en transporthubb enligt en stokastisk ankomstprocess. Lastbilarna delar inte förhandsinformation om sina ankomster; detta kan vara känslig information att dela. En koordinator bestämmer, baserat på den statistiska sannolikhetsfördelningen av ankomster, när lastbilarna på transporthubben ska släppas iväg i form av en konvoj. Under antagandet att ankomsterna är statistiskt oberoende och likafördelade, visar vi att det är optimalt att släppa iväg lastbilarna från transporthubben i form av en konvoj när antalet lastbilar överskrider en viss tröskel. Detta bidrag visar att enkla och dynamiska koordineringsmetoder kan erhålla en hög vinst från konvojkörning, även under hög osäkerhet och begränsad förhandsinformation.
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QC 20200609
Dunford, Charlotte Natalie. "Making systems thinking routine systems engineering capability improvement in Rolls-Royce plc." Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.702498.
Full textXu, Lu. "Hierarchical behavior planning in distributed decision making systems." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1157037697.
Full textBorer, Nicholas Keith. "Decision Making Strategies for Probabilistic Aerospace Systems Design." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/10469.
Full textPerman, Lesley Marion Victoria. "Cognitive control and decision making in complex systems." Thesis, University of Hertfordshire, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.254501.
Full textJoneidy, S. "Making sense of the information systems use field." Thesis, University of Salford, 2015. http://usir.salford.ac.uk/35919/.
Full textGuillot, Stephen L. "Community warning systems: factors influencing citizen decision-making." Thesis, University of South Wales, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.591055.
Full textMartin, Cheryl Elizabeth Duty. "Adaptive decision-making frameworks for multi-agent systems." Access restricted to users with UT Austin EID, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3023557.
Full textLi, Yibing. "Making navigation easier in object-oriented programming systems." Thesis, Open University, 1992. http://oro.open.ac.uk/56452/.
Full textLange, Connor. "A GENERIC DECISION MAKING FRAMEWORK FOR AUTONOMOUS SYSTEMS." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/992.
Full textGrobler, Schalk Willem. "Organisational structure and Elliot Jaques' stratified systems theory." Unisa, 2005. http://hdl.handle.net/10500/146.
Full textOrganisational design needs to be in line with capabilities of the individual-inrole. The structure of an organization directly impacts the overall effectiveness and ultimately the success of such an organization and the number of layers required in any given hierarchy is a product of the organization’s mission (Jaques, 1989). Stratified Systems Theory (Jaques, 1989) defines work in seven strata based on a basis of decision-making complexity. The research presented here identifies a specific organisation’s current level of work based on complexity and the time-span of decision-making. Research was done in one specific geographical region of a company operating in the Supply Chain and Logistics industry in South Africa. Qualitative data collection was done by means of interviews with a defined sample group that provided an adequate cross-section of the main functions of the business, however, the sampling technique used may not provide results representative of the entire population. ii The Brunel Institute for Organisation and Social Studies’ (BIOSS) Matrix of Working Relationships was used as main basis for reporting results. The research indicates that the organisation is presently, according to Jaques Stratified Systems Theory (Jaques, 1989), operating at one level below their intended level that will allow them to effectively meet their longterm strategic objectives. The report identifies shortcomings in terms of the current capabilities of the individual-in-role and the actual work requirements, setting a foundation for further analysis of individual capabilities for effective organisational design.
Graduate School of Business Leadership
MBL
Cao, Elaine Phu. "Decision making in the HIV/AIDS supply chain." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40108.
Full text"June 2007." Vita.
Includes bibliographical references (leaves 54-55).
During the first two decades of HIV/AIDS awareness, the U.S. and foreign governments responded slowly to the crisis. In contrast today, as the pandemic continues, initiatives of nonprofit organizations have dramatically increased the amount of available funding. Countries must work to effectively allocate the influx of resources. This paper examines one area for improvement within the context of the developing world: supply chain management. The HIV/AIDS supply chain in a resource-poor setting differs from traditional networks. In order to properly manage operational activities, it is important to understand inherent system complexities, such as bureaucratic funding, forced ordering, shrinkage, and human capital constraints. This research explores these issues and identifies five scenarios that impact performance measures. The model, developed through an integrated supply chain approach, simulates the effects of scenarios on inventory level, cycle service level, and missed treatment dosages. Supply chain planning without accounting for system complexities leads to significant drops in service performance from theoretical expectations. Countries should order excess inventory to compensate for these issues.
(cont.) Funding efforts should focus on training resources to properly manage treatment demand and target operational changes that yield the highest improvements on performance metrics. Short-run and long-run tactics must be aligned to avoid the threat of widespread resistance, which results from inconsistent treatment and poor patient care. The goal of this research is to understand the HIV/AIDS supply chain and identify the best areas for resource investment.
by Elaine Phu Cao.
M.Eng.in Logistics
Chuang, Poon-Hwei. "Fuzzy mathematical programming in civil engineering systems." Thesis, Imperial College London, 1985. http://hdl.handle.net/10044/1/7802.
Full textAiken, Milam Worth. "An expert systems approach to group decision support systems pre-session planning." Diss., The University of Arizona, 1991. http://catalog.hathitrust.org/api/volumes/oclc/31253019.html.
Full textWon, Henry Thome. "A system-of-systems modeling methodology for strategic general aviation design decision-making." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26469.
Full textCommittee Chair: Mavris, Dimitri; Committee Member: Gallman, John; Committee Member: Lewe, Jung-Ho; Committee Member: Schrage, Daniel; Committee Member: Upton, Eric. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Nilekar, Shirish K. "A system-oriented analysis of team decision making in data rich environments." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/90698.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 78-80).
The information processing view of organizations [1] and subsequent works highlight the primary role of information processing in the effective functioning of markets and organizations. With the current wave of "big data" and related technologies, data-oriented decision making is being widely discussed [2] as a means of using this vast amount of available data for better decisions which can lead to improved business results. The focus of many of these studies is at the organization level. However, decisions are made by teams of individuals and this is a complex socio-technical process. The quality of a decision depends on many factors including technical capabilities for data analysis and human factors like team dynamics, cognitive capabilities of the individuals and the team. In this thesis, we developed a systems theory based framework for decision making and identified four socio technical factors viz., data analytics, data sensing, power distribution, and conflict level which affect the quality of decisions made by teams. We then conducted "thought experiments" to investigate the relative contribution of each of these factors to the quality of decisions. Our experiments and subsequent analyses show that while improved data analytics does result in better decisions, human factors have an out-sized contribution to the quality of decisions, even in data rich environments. Moreover, when the human factors in a team improve, the predictability of the positive impacts due to improvements in technical capabilities of the team also increases.
by Shirish K. Nilekar.
S.M. in Engineering and Management
Griendling, Kelly Ann. "Architect: the architecture-based technology evaluation and capability tradeoff method." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42880.
Full textHubbard, Ella-Mae. "Supporting the Configuration of Decision-Making Systems for Complex, Long-Life Engineered Systems." Thesis, Loughborough University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.519717.
Full textHennings, Chad F. "Designing realistic human behavior into multi-agent systems." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA397090.
Full textThesis advisors: Hiles, John ; Darken, Rudolph. "September 2001." Includes bibliographical references (p. 59). Also Available in print.
Tang, Yu-wen S. M. Massachusetts Institute of Technology. "Tradespace as a decision making tool in bioprocess design." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107362.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 80-83).
The field of systems engineering upholds that fundamental engineering principles exist and are applicable across different domains and contexts. In this thesis, a state-of-the art decision and design evaluation method developed for aerospace systems, Multi-Attribute Tradespace Exploration (MATE) is complemented with Design of Experiments (DoE) and applied for the first time to a bioprocess design problem. The implementation of DoE was necessary due to the high complexity of bioprocess systems, where a design variable (or a reasonably small number of design variables) cannot be easily identified to explain a given attribute of the product or process. DoE not only allows the identification of design variables that most influence a given attribute, but also allows the development of Single-Utility-Functions facilitating the incorporation of the Multi- Utility component of the MATE method. The proposed new MATE-DoE method was implemented in two case studies to assess its applicability; namely bio-production of DHA and bio-production of a lipase enzyme. Based on published DoE experimental results, utility functions and cost estimations were carried out to develop a Tradespace. The resulting Tradespace demonstrates: (a) the possible implementation of the proposed method, (b) that the use of Tradespace complements the traditional bioprocess development practice by allowing decision makers to choose an architecture that optimizes for more than one objective (multi-objective), (c) that the proposed method takes into consideration the complex decision making process of customers (multi-attribute), and (d) that simultaneous comparison analysis to competitors and market standards are possible using the method. While the method was proven to be applicable, it is relatively complex and the number of experiments and market data required might prevent its broad implementation. Also, potential errors and misleading results might result from inaccurate input data. Special attention and effort need to be put in accurate Single-Utility Function (SUF) weight designation to avoid this problem. The importance of assessing the complete bioprocess, as opposed to individual unit operations, is highlighted. Finally, further studies to develop "rules of thumb" in order to simplify the proposed MATE-DoE method is suggested.
by Yu-wen Tang.
S.M. in Engineering and Management
Choo, Christopher Ledesma Weisen. "Real-time decision making in motorsports : analytics for improving professional car race strategy." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100310.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 77).
We discuss features contained in a machine learning software developed at MIT for professional car racing, to improve the predictions of track position changes within a race. We study pit crew performance and driver performance within selected races, and find that good combined performance for both correlates to better finish positions. Secondly, we classify tracks based on tire wear and the ratio of 2 versus 4 tire change decisions for pit stops. We find that a driver's performance in early stages of the race is similar to performance in later stages, suggesting that final race outcomes may be inferred from earlier stages of the race. Thirdly, we look at how tire change decisions vary from track to track depending on tire wear, caution periods, and stages of the race to understand how teams adapt their tire change strategies as each race progresses. We propose heuristics based on these observations that may be used to improve the software. Next, we test whether the construction of the machine learning dataset using similar and different track characteristics has a discernible impact on the predictive capability of the software. Our tests indicate that it may be preferable to aggregate different races together because there is no distinct difference in the results when compared to only selecting similar races. Finally, we cover ideas about how new features could be implemented in the software, and touch on other factors affecting pit stop strategy in the quest for better predictive capability in the software.
by Christopher Ledesma Weisen Choo.
S.M. in Engineering and Management
Dombayci, Canan. "Conceptual modelling for integrated decision-making in process systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/667022.
Full textEsta Tesis aborda la construcción sistemática de Modelos para la toma de Decisiones (DMMs) desde la etapa de conceptualización hasta su aplicación en situaciones concretas, con especial énfasis en el tratamiento de escenarios en los que existe una jerarquía de niveles de decisión, habitual en la Industria de Proceso (PS). Aunque las metodologías desarrolladas son genéricas, el alcance de esta Tesis se limita a la perspectiva de la Ingeniería de Procesos. El componente central requerido para construir un DMMs es la descripción conceptual de la realidad a la que se orienta, que a su vez respalda la sistematización de los procedimientos de gestión. Durante esta descripción, se pueden identificar planteamientos asociados a dos dominios diferentes: el Dominio del Proceso (PS), útil para describir la estructura del proceso como tal (realidad física y forma en la que se relacionan sus elementos), y el Dominio de Gestión, asociado a las Restricciones Conceptuales (CC) que describen las restricciones asociadas a la gestión del proceso. El Dominio PS incluye conceptos y relaciones que aparecen en los estándares de control del proceso que sigue la empresa: la descripción del proceso a desarrollar, la descripción de los equipos físicos en los que se desarrolla, y la de sus interacciones, que dan lugar al control de ejecución de los procedimientos; este dominio debe permitir la construcción, el diseño, la operación y el control de cualquier sistema de fabricación. Por su parte, el Dominio CC contiene la información asociada a los conceptos y las relaciones que deben cumplirse para asegurar un conjunto coherente de decisiones, con el propósito de identificar y representar la sistemática a seguir durante el proceso de toma de decisiones, dando lugar a la representación conceptual de esta sistemática y, finalmente, a la construcción del correspondiente DMM. El primer reto abordado en esta Tesis está asociado a la sistematización del modelado conceptual a partir de información semántica, para construcción de ontologías a partir de fuentes textuales y de un procedimiento para verificar la coherencia interna de dichas fuentes. La aplicación de esta metodología se ha utilizado para la identificación de los conceptos y las relaciones esenciales en el Dominio PS, permitiendo crear un modelo genérico, común y compartido, a diferencia de los modelos existentes. En el siguiente paso, este Dominio PS se ha utilizado para la resolución de problemas de gestión en sistemas que comprenden múltiples niveles de jerarquías funcionales. El proceso de toma de decisiones resultante permite integrar las decisiones tomadas en cada nivel, asegurando su coherencia a partir de un enfoque que contempla simultáneamente la gestión de toda la información disponible (datos y conocimiento). Por su parte, la introducción de los conceptos y relaciones necesarios para asegurar la factibilidad de las decisiones de gestión del proceso, a través del Dominio CC, permite el desarrollo de procedimientos sistemáticos de creación de DMMs: este Dominio clasifica las restricciones (balances, secuencia, etc.), agrega elementos abstractos a dichas restricciones (p.e.: cantidad producida y consumida) y permite generalizar la relación de sus componentes con la información asociada al Dominio PS. En la última parte de esta Tesis se aborda la integración de los Dominios PS y CC, y su aplicación para la generación de nuevos sistemas de toma de decisiones. Para ello, se han diseñado algoritmos que, partiendo de las restricciones anteriormente identificadas y clasificadas, y patrones de DMMs también previamente identificados a partir de casos ya existentes, explotan la información disponible a través de las instancias del Dominio PS, para generar de nuevos modelos de toma de decisión de acuerdo con las especificaciones del usuario. Su utilización se ilustra a través de casos procedentes de diferentes entornos, demostrando la capacidad de generalización de la sistemática creada.
Alotaibi, Sati Fehaid. "A decision-making framework for purchasing product-service systems." Thesis, Cranfield University, 2016. http://dspace.lib.cranfield.ac.uk/handle/1826/10252.
Full textForoughi, Behzad. "Decision-making in manufacturing systems, an IPA/fuzzy approach." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ38629.pdf.
Full textNaidoo, Sherylene Shamma. "Business Intelligence Systems Input| Effects on Organizational Decision-Making." Thesis, Capella University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13805358.
Full textThe purpose of this study was to examine the factors affecting the use of information from business intelligence systems (BIS) on decision-making culture. The relationship between analytical decision-making culture and BIS success factors was measured by data integration, analytic capabilities, information content quality, information access quality, and use of information in business processes. A quantitative statistical analysis approach was utilized to answer one research question. The construct of critical success factors was measured using a predefined model developed by Popovic, Hackney, Coelho, and Jaklic (2012). Survey responses were collected from 227 participants who were decision makers. The responses to the survey indicated a high degree of data integration, analytical capabilities, information content quality, information access quality, use of information in business processes, and analytical decision-making culture within organizations. Notably, the uploaded data reflected that data integration, analytical capabilities, and information content quality were not significantly related to analytical decision-making culture. However, information access quality and use of information in business processes were significantly and positively related to the analytical decision-making culture. With the exponential growth of business intelligence, managers are facing extreme challenges with rapid analytical decision making. Therefore, this study is not only significant to practitioners and the scholarly literature, but it also provided crucial information on BIS success factors for organizations in the Midwestern state.
Reymondet, Lucie. "A framework for sense-making of complex sociotechnical systems." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105642.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 126-133).
Contemporary engineering systems are often highly complex, large-scale, open sociotechnical systems, with strongly interwoven technical systems and social players within a dynamic environmental context that influences both social and technical spheres. Examples of such systems include online social networks, air and maritime traffic control systems, urban transportation systems, net-centric warfare systems and humanitarian disaster relief supply chains. Growing complexity in sociotechnical systems is often blamed for unanticipated (emergent) behaviors in the system or its development, such as accidents, cascading failures, operational bottlenecks, development cost overruns and delays. A literature review highlighted the types of complexity usually tackled by systems architecting researchers and practitioners. The scope of this thesis is sociotechnical systems, and it is apparent from literature and from the examination of three example systems that types of complexity are diverse among complex sociotechnical systems. A taxonomy is proposed that compiles major threads of this review. Essentially, complexity and emergence increase the difficulty of sense making, which can be briefly defined as the ability to foresee system-level impacts of architectural decisions. Complex sociotechnical systems present challenges for systems architects: they are difficult to understand, study, predict, control or change, and often display emergent behavior, which may or may not be desirable. This thesis goes a step beyond classifying complexity to propose a framework for guiding sense-making of complexity in sociotechnical systems architecting. The systems community has developed and instantiated many modeling approaches, practices, formal languages and toolsets, to help system architects and engineers with sense-making and decision-making. This work proposes a phenomena-based framework to leverage established modeling practices and guide the selection and composition of model-centric approaches for complex sociotechnical systems architecting. The framework is applied to the Collaborative Decision Making System at Paris Charles De Gaulle airport.
by Lucie Reymondet.
S.M.
Bertuccelli, Luca Francesco 1981. "Robust decision-making with model uncertainty in aerospace systems." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/46554.
Full textIncludes bibliographical references (p. 161-168).
Actual performance of sequential decision-making problems can be extremely sensitive to errors in the models, and this research addressed the role of robustness in coping with this uncertainty. The first part of this thesis presents a computationally efficient sampling methodology, Dirichlet Sigma Points, for solving robust Markov Decision Processes with transition probability uncertainty. A Dirichlet prior is used to model the uncertainty in the transition probabilities. This approach uses the first two moments of the Dirichlet to generates samples of the uncertain probabilities and uses these samples to find the optimal robust policy. The Dirichlet Sigma Point method requires a much smaller number of samples than conventional Monte Carlo approaches, and is empirically demonstrated to be a very good approximation to the robust solution obtained with a very large number of samples. The second part of this thesis discusses the area of robust hybrid estimation. Model uncertainty in hybrid estimation can result in significant covariance mismatches and inefficient estimates. The specific problem of covariance underestimation is addressed, and a new robust estimator is developed that finds the largest covariance admissible within a prescribed uncertainty set. The robust estimator can be found by solving a small convex optimization problem in conjunction with Monte Carlo sampling, and reduces estimation errors in the presence of transition probability uncertainty. The Dirichlet Sigma Points are extended to this problem to reduce the computational requirements of the estimator. In the final part of the thesis, the Dirichlet Sigma Points are extended for real-time adaptation. Using insight from estimation theory, a modified version of the Dirichlet Sigma Points is presented that significantly improves the response time of classical estimators. The thesis is concluded with hardware implementation of these robust and adaptive algorithms on the RAVEN testbed, demonstrating their applicability to real-life UAV missions.
by Luca Francesco Bertuccelli.
Ph.D.