Tesis sobre el tema "Decision-making management system"
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Костюченко, Надія Миколаївна, Надежда Николаевна Костюченко, Nadiia Mykolaivna Kostiuchenko, Денис Олегович Смоленніков, Денис Олегович Смоленников y Denys Olehovych Smolennikov. "Institutional decision-making in environmental management system". Thesis, Вид-во СумДУ, 2010. http://essuir.sumdu.edu.ua/handle/123456789/8144.
Texto completoRezgui, Abdelkerim [Verfasser]. "Decision Evaluation System : Towards Sustainable Decision-Making / Abdelkerim Rezgui". Aachen : Shaker, 2018. http://d-nb.info/1188550578/34.
Texto completoTang, 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.
Texto completoCataloged 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
Devine, Paul (Paul S. ). "Reliability improvement project decision making : water cooling system redesign". Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/35114.
Texto completoIncludes bibliographical references (p. 66).
Deciding on which reliability & performance improvement projects to launch or to reject has historically been an extremely challenging responsibility of Teradyne management. Incorrect decisions can lead to major customer dissatisfaction, which may subsequently lead to loss of market share. Teradyne Engineering and Marketing team have been trying to develop a tool that would assist in their reliability improvement project decision making. The challenge is the dynamic aspects of the reliability improvement projects. Like most engineering projects, reliability improvement projects have variables such as internal workforce, productivity, skill sets, customer expectations and many others that are in constant motion. These variables make the assessment of reliability projects extremely difficult in a static framework. This research will incorporate these key variables into a dynamic framework to help assess individual reliability improvement projects.
by Paul Devine.
S.M.
Chacon, Vince. "Executive decision making processes and outcomes : structure and robustness". Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/29536.
Texto completoIncludes bibliographical references (p. 48).
Uncertainty in the decision making environment complicates the decision making process because future events may change the effect of a particular decision or series of decisions. This thesis explores the possibility of applying robust engineering design techniques to the decision making process in order to limit the effects of changing circumstances. The intent is to identify solutions that will reduce the variation in the outcome of decisions that are made across many projects by analyzing projects that have been executed at the Dryden Flight Research Center (DFRC) over the past several years. A framework to relate past performance to match the requirements of experiments in a Design of Experiments (DOE) analysis is developed. The approach views factors that are considered in making decisions as controllable elements and factors that unexpectedly affect the outcome of the decisions as noise. The resulting framework is then organized such that the data can be analyzed using the Taguchi approach to DOE, which has been successfully used for analyzing engineering design and manufacturing processes. The analysis approach considers the robustness of the outcome based on the factors used to make the decisions about the various projects that have been conducted at DFRC over the past six years. The decision process performance is analyzed and recommendation are made to improve the performance of the decision making process at DFRC. The analysis indicates that projects providing large increases in technical knowledge were the most influential in reducing the effects from changes in budget and staffing resources that were beyond the control of the decision makers.
by Vince Chacon.
S.M.
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.
Texto completoCataloged 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
Wang, Ming-hua. "A knowledge-based system approach for project management decision-making support". Thesis, University of Warwick, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340476.
Texto completoQueiroz, Vieira Turnell M. de F. "A decision making aid system based on a small microprocessor". Thesis, University of Bradford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379855.
Texto completoXu, Hua S. M. Massachusetts Institute of Technology. "A system approach to augment clinical decision-making using machine learning". Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121803.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 76-80).
This thesis helps find limits within which automated methods can support and surpass the capabilities of medical professionals and the limits beyond which these methods are not yet adequate. This will inform later exploration about (a) what improvements in data collection, interpretation, and visualization will enhance technology's capacity and (b) what changes clinicians can make to improve their decision making-augmented or not. This thesis includes (a) describing clinical decisions, informed by literature and clinical case studies and (b) reviewing current capabilities of machine methods. This led to (c) a test experiment-how to use data about a particular condition (e.g. in-hospital mortality rate prediction) from a particular source (the MIMIC III data base). The results will help define current limits on augmenting clinical decisions and establish direction for future work including more demanding experiments.
Artificial Intelligence (AI) includes Machine Learning (ML), Natural Language Processing (NLP), Computer Vision, Speech Recognition, and Robotics. As an important branch of Al, ML builds statistical models to learn from sample data, known as "training", identifies patterns, and makes predictions based on new data, known as "inference." In this way, ML is useful in rationalizing and predicting in uncertain environments, with minimum human interventions. Decision making is central to the healthcare practice, with many decisions made under conditions of uncertainty. Clinicians must integrate a huge variety of data while pressured to decrease diagnostic uncertainties and risks to patients. Deciding what information to gather, which test to order, how to interpret and integrate this information to draw diagnostic conclusions, and which treatments to give are essential.
In typical situations, clinicians evaluate patient symptoms and potential disease patterns, confirmed by a variety of tests, and they initiate treatments based on their experience and customary practice. This is complicated when multiple illnesses coexist, the illness may be rare, the information may be conflicting, or prior interventions may affect the presenting symptoms.
by Hua Xu.
S.M. in Engineering and Management
S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program
Barton, John Edward Built Environment Faculty of Built Environment UNSW. "A spatial decision support system for the management of public housing". Awarded by:University of New South Wales, 2007. http://handle.unsw.edu.au/1959.4/35209.
Texto completoFabray, Christopher Edward. "Study of management decision making by ward sisters in a hospital and the effects on decision making after the implementation of a decision support system". Thesis, Aston University, 1992. http://publications.aston.ac.uk/10815/.
Texto completoChoo, 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.
Texto completoThis 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
Friedman, Sheldon. "The Effects of Dynamic Decision Making on Resource Allocation: The Case of Pavement Management". Link to electronic thesis, 2003. http://www.wpi.edu/Pubs/ETD/Available/etd-0502103-112438.
Texto completoWon, 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.
Texto completoCommittee 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.
Lee, Hee Young. "An expert system for career management within an army structure". Thesis, University of Hertfordshire, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303407.
Texto completoGu, Chushu. "Estimating life-expectancy changes for medical decision making: New approximations". Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27247.
Texto completoBooth, William D. "Prototyping a web-enabled decision support system to improve capacity management of aviation training". Thesis, Monterey, California. Naval Postgraduate School, 2005. http://hdl.handle.net/10945/2009.
Texto completoWillmes, David E. 1965. "A framework for staffing strategy decision-making in projects involving complex system architectures". Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/91785.
Texto completoWhite, Irma. "An initial concept study for a product management decision support system (PMDSS) supporting executives in a manufacturing, marketing and distribution company". Master's thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-03302010-020213/.
Texto completoNagashima, Kazunobu. "Inference system for selection of an appropriate multiple attribute decision making method". Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9942.
Texto completoOlson, Nasrine. "Taken for Granted : The Construction of Order in the Process of Library Management System Decision Making". Doctoral thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-3553.
Texto completoAkademisk av handling som med tillstånd av samhällsvetenskapliga fakulteten vid Göteborgs universitet för vinnande av doktorsexamen framläggs till offentlig
granskning kl. 13:15 fredagen den 1 oktober 2010, i hörsalen M404, Högskolan i Borås.
Avhandlingen har tilldelats den prestigefyllda utmärkelsen ”The 2011 Emerald/EFMD Outstanding Doctoral Research Awards”. The thesis has been awarded with the prestigious honor of ”The 2011 Emerald/EFMD Outstanding Doctoral Research Awards”
Bicik, Josef. "A risk-based decision support system for failure management in water distribution networks". Thesis, University of Exeter, 2010. http://hdl.handle.net/10036/110414.
Texto completoMcCullough, Christina M. "Building a Replicable Flood Forecast Mitigation Support System to Simplify Emergency Decision-Making". University of Toledo / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1301756439.
Texto completoKing, Nelson Eng. "A DECISION SUPPORT SYSTEM FOR MINE EVALUATIONS". Thesis, The University of Arizona, 1985. http://hdl.handle.net/10150/275287.
Texto completoBello-Dambatta, Aisha. "The development of a web-based decision support system for the sustainable management of contaminated land". Thesis, University of Exeter, 2010. http://hdl.handle.net/10036/119265.
Texto completoRaby, Matias A. (Matias Andres). "Architecting the Future Enterprise : a framework for supporting decision making in the selection of future states". Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/72970.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (p. 103-106).
Enterprises that are successful over the long term are compelled to continuously transform in order to adapt to new contexts or economic environments. However, many of these transformation efforts fail to achieve their desired objectives. MIT Professors Nightingale and Rhodes have been developing an integrative approach that uses Enterprise Architecting as an instrument to support the planning of successful transformation. Although the approach has shown to be useful to guide transformations in various domains, feedback from previous users indicated the need for a more prescriptive and quantitative guidance in the process of moving an enterprise from the 'As-Is' to the desired 'To-Be' state. This thesis introduces a framework that provides a structure of reasoning about the process of architecting the future state of an enterprise in the context of a transformation. The 'Architecting the Future Enterprise' (AFE) Framework is an iterative method that incorporates a systems thinking approach to design future states and a multidimensional evaluation process that compares competing architectures in terms of effectiveness, effort and risk. It enables the generation of an output in the form of an Architecture Tradeoffs Matrix, a quantitative visual representation to assess tradeoffs among competing architectures. A case study is included to illustrate a real application of the AFE Framework. The implications of this research span across two areas. First, it aims to formalize enterprise transformation planning policies by providing practitioners a structure for reasoning that can help to minimize decision making errors. Second, by introducing quantification approaches to effectiveness, effort and risk, it improves the decision making process normally followed by enterprise leaders and architects to select the future architecture of their organizations. Finally, the framework leverages the use of simple engineering and management tools that lead to more informed decisions and to practical contributions to the practice of enterprise architecting and management decision making.
by Matias A. Raby.
S.M.in Engineering and Management
S.M.in Technology and Policy
Johnson, Peter Schilling. "Spatial Decision Making: Using a Geographic Information System and the Analytic Hierarchy Process for Pre-Wildfire Management". Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/193578.
Texto completoOsuri, Vaynu. "Successes of collaborative decision making at the Traffic Flow Management Program Office and the advantages of adopting toolkits". Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35104.
Texto completoIncludes bibliographical references (leaf 68).
Manufacturers, product designers and developers of products that have a large and diverse user base are consistently trying to produce products that satisfy as many users as possible. Manufacturers and product developers have found that it is extremely difficult to do so. The closer the manufacturer or developer gets to meeting all user needs, the higher and more prohibitive the cost gets. The Traffic Flow Management (TFM) Program Office, within the Federal Aviation Administration (FAA) has the task the do just that. To its credit the TFM program office has come quite close to achieving this. The goal of this thesis is to identify and document the practices that have made the TFM program office successful and to find ways that can help them achieve even greater end user satisfaction. To do this TFM's complete product development cycle was analyzed. Special attention was given to user interaction and user innovation.
(cont.) The research found that the TFM program office does a good job of identifying user requirements, it also does a good job in incorporating user innovations but despite this, they are not able to meet all the user needs. The toolkit model is then used to demonstrate how the TFM program office can overcome some challenges that are inherent to the processes it currently follows.
by Vaynu Osuri.
S.M.
Netterville, Ross Neil. "Information system outsourcing and strategic decision making : a meta-theoretic review of the literature". Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/80097.
Texto completoENGLISH ABSTRACT: Given the ubiquity of information systems and their importance for the functioning of organisations; understanding information systems and their impact on organisations has become critical for organisational success. The ability to effectively use information systems plays an increasing role in the success of organisations. There are many facets to understanding information systems in organisations, this thesis will assess the relationship between outsourcing an information system, and the strategic processes which lead to and are impacted by the outsourcing decision. The aim of this thesis is to deepen the understanding of decision making in the Information System Outsourcing literature by reflecting on the state of the literature from a research point of view. This thesis therefore undertakes a meta-theoretic review of the Information System Outsourcing literature, using journal articles, to get a general picture of the literature which will then be assessed in terms of the breadth of decision making perspectives which have been researched and the depth to which each perspective has been explored. First, the extent to which the development of the field of information system outsourcing resembles the development of the Information System Theory in general will be determined. This will be done by examining the history and development of the Information System Theory field, and examining the consequences of the fields’ rapid development for the legitimacy of the field. Next, criticisms which have been raised against the Information System Outsourcing literature will be identified and discussed, the primary criticism being the charge that the Information System Outsourcing field is broad in scope but shallow in its depth of understanding of decision making in the outsourcing processes. These criticisms, which are shared with the field of Information System Theory, are argued to arise from the history of rapid development of Information System Outsourcing. The potential consequences of these criticisms for Information System Outsourcing practitioners and researchers will also be discussed in order to establish the importance of evaluating the theme of Information System Outsourcing. Thirdly, a framework with which to test the criticism against the Information System Outsourcing literature will be developed. This framework will combine insights from decision theory with those of organisation theory. Finally; the framework will be used to analyse the Information System Outsourcing literature in order to verify or disprove the allegation of a broad but shallow understanding of decision making in Information System Outsourcing. This allegation will be addressed primarily through an analysis of the information system outsourcing literature in order to evaluate its depth. The analysis shows that the literature on Information System Outsourcing, whilst showing positive development, is not yet mature. The danger of the theme of Information System Outsourcing falling into an identity crisis like that faced by its parent field of Information Systems Theory still exists. The analysis also shows the areas in which the literature must develop in order to avoid an identity crisis. On meta-theoretical level, the value of returning to fundamental issues in Information Systems Outsourcing is shown through the use of decision theory and organisation theory.
AFRIKAANSE OPSOMMING: Gegewe die alomteenwoordigheid van inligtingstelsels en hul belang vir die funksionering van organisasies, het insig in inligtingstelsels en hul impak op organisasies van kritieke belang geword vir organisatoriese sukses. Die vermoë om inligtingstelsels effektief te gebruik, speel derhalwe ’n toenemende rol in die sukses van organisasies. Daar is egter baie dimensies van inligtingstelsels in organisasies. Hierdie tesis assesseer die verhouding tussen die uitkontraktering van 'n inligtingstelsel en die strategiese prosesse wat lei tot, en wat beïnvloed word deur, die besluit van die uitkontraktering. Die doel van hierdie tesis is om insig in die veld van inligtingstelseluitkontraktering te verdiep deur besinning oor die toestand van die veld vanuit 'n navorsing-oogpunt. Hierdie tesis onderneem dus 'n meta-teoretiese oorsig van die veld van Inligtingstelseluitkontraktering deur gebruik te maak van joernaalartikels. Die doel is om daarmee ’n algemene beeld te kry van die literatuur. Die literatuur word dan beoordeel in terme van die omvang van die onderwerpe wat nagevors is en die diepte waarop elke onderwerp ondersoek is. Eerstens word die mate van ooreenstemming tussen die ontwikkeling van die gebied van die Inligtingstelseluitkontraktering en die van algemene Inligtingsisteem Teorie bepaal. Dit sal gedoen word deur die geskiedenis en ontwikkeling van die Inligtingsisteem Teorie veld te ondersoek. Daarmee saam word konsekwensies van die gebied se snelle ontwikkeling vir die legitimiteit van die veld, ondersoek. Hierna word kritiek wat geopper is op die veld van Inligtingstelseluitkontraktering geïdentifiseer en bespreek. Die belangrikste kritiek is die klag dat die Inligtingstelseluitkontraktering veld wyd in omvang, maar vlak in sy diepte van begrip is. Dit word aangevoer dat hierdie kritiek, wat ook geld vir die veld van Inligtingsisteemteorie, die resultaat is van die geskiedenis van die snelle ontwikkeling van die gebied van Inligtingsisteemuitkontraktering. Die moontlike gevolge van hierdie kritiek vir praktisyns en navorsers in Inligtingsisteemuitkontraktering sal ook bespreek word ten einde die belang van die volgehoue evaluasie van die gebied van Inligtingsisteemuitkontraktering te verduidelik. Derdens word 'n raamwerk ontwikkel waarmee die kritiek teen die Inligtingsisteemuitkontraktering veld getoets kan word. Hierdie raamwerk kombineer insigte uit besluitnemingteorie met dié van organisasieteorie. Ten slotte sal die raamwerk gebruik word om die Inligtingsisteemuitkontraktering literatuur te ontleed ten einde die bewering van die breë maar vlak karakter daarvan te verifieer of te weerlê. Hierdie bewering sal hoofsaaklik deur middel van 'n analise van die Inligtingsisteemuitkontraktering literatuur aangespreek word ten einde die diepte daarvan te evalueer. Die ontleding van die Inligtingsisteemuitkontraktering veld toon positiewe ontwikkeling, ofskoon nie volwassenheid nie. Die gevaar dat die veld in 'n identiteitskrisis val, soos dié van die breër veld van Informasiesisteemteorie, bestaan steeds. Die analise toon ook die gebiede aan waarin die veld moet ontwikkel ten einde 'n identiteitskrisis te vermy. Op meta-teoretiese vlak word die waarde van ʼn terugkeer na fundamentele kwessies in Inligtingsisteemuitkontraktering getoon deur die gebruik van die besluitnemingsteorie en organisasieteorie.
Larson, David K. Rhodes Dent. "Prototype decision support system to aid in predicting training strategy success using system dynamics modeling software /". Normal, Ill. : Illinois State University, 2005. http://wwwlib.umi.com/cr/ilstu/fullcit?p3196651.
Texto completoTitle from title page screen, viewed September 26, 2006. Dissertation Committee: Dent M. Rhodes (chair), Temba C. Bassoppo-Moyo, Thomas Crumpler, Patricia Rushing. Includes bibliographical references (leaves 196-200) and abstract. Also available in print.
Paranagama, Priyanka C. (Priyanka Chandana) 1969. "Using decision maker personality as a basis for building adaptive decision support system generators for senior decision makers". Monash University, School of Information Management and Systems, 2000. http://arrow.monash.edu.au/hdl/1959.1/8035.
Texto completoRezaei, Nader. "A Decision-making Framework for Hybrid Resource Recovery Oriented Wastewater Systems". Scholar Commons, 2019. https://scholarcommons.usf.edu/etd/7907.
Texto completoDukyil, Abdulsalam Saleh. "Artificial intelligence and multiple criteria decision making approach for a cost-effective RFID-enabled tracking management system". Thesis, Brunel University, 2018. http://bura.brunel.ac.uk/handle/2438/17128.
Texto completoEkstedt, Mathias. "Enterprise architecture for IT management : a CIO decision making perspective on the electrical power industry". Doctoral thesis, KTH, Electrical Systems, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-36.
Texto completoWithin the electric power industry, the average company's enterprise system - i.e. the overall system of IT related entities - is today highly complex. Technically, large organizations posses hundreds or thousands of extensively interconnected and heterogeneous single IT systems performing tasks that varies from enterprise resource planning to real-time control and monitoring of industrial processes. Moreover are these systems storing a wide variety of sometimes redundant data, and typically they are deployed on several different platforms. IT does, however, not execute in splendid isolation. Organizationally, the enterprise system embraces business processes and business units using as well as maintaining and acquiring the IT systems. The interplay between the organization and the IT systems are further determined by for instance business goals, ownership and governance structures, strategies, individual system users, documentation, and cost.
Lately, Enterprise Architecture (EA) has evolved with the mission to take a holistic approach to managing the above depicted enterprise system. The discipline's presumption is that architectural models are the key to succeed in understanding and administrating enterprise systems. Compared to many other engineering disciplines, EA is quite immature in many respects. This thesis identifies and elaborates on some important aspects that to date have been overlooked to a large extent. Firstly, the lack of explicit purpose for architectural models is identified. The thesis argues that the concerns of a company's Chief Information Officer (CIO) should guide the rationale behind the development of EA models. In particular, distribution of IT related information and knowledge throughout the organization is emphasized as an important concern uncared for. Secondly, the lack of architectural theory is recognized. The thesis provides examples of how theory, or analysis procedures, could be incorporated into the Enterprise Architecture approach and hereby concretely drive the development of the architectural models. Due to the nature of enterprise systems, EA theories inevitable will be of an indicative character. Finally, in relation to the models as such, three aspects are highlighted. Firstly, the cost of collecting information from the organization to populate models is routinely neglected by the EA community. This expense should be evaluated in relation to the utility of analyses that the information can provide in terms of better informed decision making by the CIO. Secondly, models (and meta-models) must be kept consistent. And thirdly, the design of models is restricted by the limited mental capabilities of the minds of the model users. CIO concerns must consequently be easy to extract from the Enterprise Architecture models.
Key words: Enterprise Architecture, Enterprise System, Chief Information Officer (CIO), Information Technology (IT) Management, Architectural Theory, Electric Power Industry
PARK, SEUNG YIL. "A GENERALIZED INTELLIGENT PROBLEM SOLVING SYSTEM BASED ON A RELATIONAL MODEL FOR KNOWLEDGE REPRESENTATION (SUPPORT SYSTEMS, EXPERT, DECISION AIDS)". Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183779.
Texto completoScott, Vera Eileen. "A health system perspective on factors influencing the use of health information for decision-making in a district health system". University of the Western Cape, 2016. http://hdl.handle.net/11394/4907.
Texto completoThis research explores a poorly understood area of health systems: the nature of managerial decision-making in primary healthcare facilities, and the information that informs decision-making at this level. Located in the emerging field of Health Policy and System Research, this research draws on constructivist and participatory perspectives to understand the role of information and, more broadly, learning and knowledge in decisions that primary healthcare managers make, and the systemic factors influencing this. Using a multiple case study design with iterative cycles of in-depth data collection and analysis over a three year period, it examined the decision-making and information use in three cases of managerial responsibility in 17 primary healthcare facilities in a sub-district in Cape Town. The cases were: improving efficiency of service delivery, implementing programme priorities and managing leave of absence. Using multiple strategies for engaging primary healthcare facility managers, often as co-researchers of their own practice, the research sought to elicit both their explicit and tacit, experience-based knowledge on these phenomena. Key insights gained in the research are that firstly, operational health management at facility level is less linear and simple than policy-makers and planners often assume, and is, instead, characterised by considerable on-the-spot problem solving and people management to meet multiple agendas, which can be surprisingly complex. Secondly, contrary to prevailing views, managers do actively use information in decision-making, but require a wide range of information which is outside of the current, and indeed the globally-advocated, health information system (HIS). Thirdly, they not only use, but generate, information in their management routines and practices, and must learn from experience in order to adapt new interventions for successful implementation in their facilities and communities. This research thus makes explicit the value and use of informal information and knowledge in decision-making. It demonstrates, amongst others, a relationship of functional interdependence between the use of formal information in the HIS, and informal information and knowledge, suggesting that the latter has the potential to improve the use and utility of formal health information by making sense of it within the local context. Furthermore, building on the public policy literature on governance, this research develops a model to understand the multiple contextual influences on decision-making and information use, showing the central role of values and relationships across the health system. It proposes a causal mechanism for strengthening the use of information in decision-making. Finally, in giving priority to the informational needs of facility managers, this research offers a bottom-up perspective which argues for an integrated approach to health system strengthening which moves beyond atomised treatment of HIS strengthening. It suggests the need to re-think how to support facility managers by re-positioning the HIS relative to organisational learning, and leadership and management development.
Wen, Shenning. "The study, design, and implementation of Data mart functions in Windows environments". CSUSB ScholarWorks, 1998. https://scholarworks.lib.csusb.edu/etd-project/1374.
Texto completoMostafa, Mahmoud Hesham Ahmad Shawky. "ISO 9001: 2015 Quality System Manual Development and Implementation for Business and Commerce with Expanded Emphasis on Risk Management". Thesis, North Dakota State University, 2019. https://hdl.handle.net/10365/31638.
Texto completoBui, Diep Thi. "Improving the decision-making process for demolition waste management in urban redevelopment projects in Vietnam". Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/122958/2/Diep%20Thi%20Bui%20Thesis.pdf.
Texto completoBarton, Amy J. Gocsik. "Elements of a decision support system for chief nurse executives /". Licensed for access by UF Students, faculty, and staff (and others in a UF library), 1993. http://wwwlib.umi.com/cr/ufl/fullcit?p9607431.
Texto completoAlbina, Adam R. "Assessing the Impact of a Geospatial Information System for Improving Campus Emergency Decision-Making of Novice Crisis Managers". Diss., NSUWorks, 2018. https://nsuworks.nova.edu/gscis_etd/1029.
Texto completoCHEN, XINBEI. "A KNOWLEDGE MANAGEMENT MODEL FOR E-BUSINESS WORLD". University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1014841051.
Texto completoKmon, Megan Kathleen. "Systems Thinking in the Forest Service: a Framework to Guide Practical Application for Social-Ecological Management in the Enterprise Program". PDXScholar, 2016. http://pdxscholar.library.pdx.edu/open_access_etds/3312.
Texto completoHill, Justin Mitchell. "Shaping the Next Generation Air Transportation System with an Airspace Planning and Collaborative Decision Making Model". Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/39319.
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Kelly, William. "Decentralization of educational decision-making in the Newfoundland and Labrador education system reform process : illusion or reality /". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0007/MQ36143.pdf.
Texto completoQuinones, Maria Cecilia. "Decision support system for building construction product selection using life-cycle management (lcm)". Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41123.
Texto completoShi, Zhenzhen. "A MARKOV DECISION PROCESS EMBEDDED WITH PREDICTIVE MODELING: A MODELING APPROACH FROM SYSTEM DYNAMICS MATHEMATICAL MODELS, AGENT-BASED MODELS TO A CLINICAL DECISION MAKING". Diss., Kansas State University, 2015. http://hdl.handle.net/2097/20578.
Texto completoDepartment of Industrial & Manufacturing Systems Engineering
David H. Ben-Arieh
Chih-Hang Wu
Patients who suffer from sepsis or septic shock are of great concern in the healthcare system. Recent data indicate that more than 900,000 severe sepsis or septic shock cases developed in the United States with mortality rates between 20% and 80%. In the United States alone, almost $17 billion is spent each year for the treatment of patients with sepsis. Clinical trials of treatments for sepsis have been extensively studied in the last 30 years, but there is no general agreement of the effectiveness of the proposed treatments for sepsis. Therefore, it is necessary to find accurate and effective tools that can help physicians predict the progression of disease in a patient-specific way, and then provide physicians recommendation on the treatment of sepsis to lower risk for patients dying from sepsis. The goal of this research is to develop a risk assessment tool and a risk management tool for sepsis. In order to achieve this goal, two system dynamic mathematical models (SDMMs) are initially developed to predict dynamic patterns of sepsis progression in innate immunity and adaptive immunity. The two SDMMs are able to identify key indicators and key processes of inflammatory responses to an infection, and a sepsis progression. Second, an integrated-mathematical-multi-agent-based model (IMMABM) is developed to capture the stochastic nature embedded in the development of inflammatory responses to a sepsis. Unlike existing agent-based models, this agent-based model is enhanced by incorporating developed SDMMs and extensive experimental data. With the risk assessment tools, a Markov decision process (MDP) is proposed, as a risk management tool, to apply to clinical decision-makings on sepsis. With extensive computational studies, the major contributions of this research are to firstly develop risk assessment tools to identify the risk of sepsis development during the immune system responding to an infection, and secondly propose a decision-making framework to manage the risk of infected individuals dying from sepsis. The methodology and modeling framework used in this dissertation can be expanded to other disease situations and treatment applications, and have a broad impact to the research area related to computational modeling, biology, medical decision-making, and industrial engineering.
Heminger, Alan Ray. "Assessment of a group decision support system in a field setting". Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184613.
Texto completoLau, Shiu-kwong y 劉少光. "Assistant principals and administrative committee system: decision making in Hong Kong aided secondary schools". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1993. http://hub.hku.hk/bib/B31956488.
Texto completoBrassington, Frances. "Training and support for marketing decision making in retailing : The development of a retail market simulation for use as a training aid and an associated decision support system". Thesis, University of Bradford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233653.
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