Дисертації з теми "Risk Base Decision"
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Mello, Bernardo Brazão Rego. "Classificação de risco setorial com base nos métodos Weighted Influence Non-linear Gauge System e Analytic Hierarchy Process." reponame:Biblioteca Digital do Banco Nacional de Desenvolvimento Econômico e Social, 2014. http://web.bndes.gov.br/bib/jspui/handle/1408/5341.
Повний текст джерелаDissertação (mestrado) - Faculdade de Economia e Finanças Ibmec, Rio de Janeiro, 2014.
Devido à crescente importância dos mercados financeiros nas últimas décadas, o risco de crédito tem se tornado um tema fundamental na tomada de decisões acerca de investimentos, taxas de financiamento, solvência corporativa, tendência e perspectivas etc. Os modelos de avaliação de risco de crédito, em geral, podem ser classificados em duas categorias: quantitativo e qualitativo. Modelos quantitativos buscam analisar informações de demonstrativos financeiros e seus indicadores, enquanto modelos qualitativos focam na análise de variáveis intangíveis que afetam os negócios globais. Estes modelos normalmente seguem uma estrutura "top-down" de análise setorial, competitividade e comparação de pares e gestão. O objetivo desta dissertação é apresentar um modelo de classificação de risco setorial com base em métodos de análise multicritério que possam mensurar a importância das variáveis que afetam os setores da economia brasileira, bem como a influência entre estas. O modelo é baseado, principalmente, no método Weighted Influence Non-Linear Gauge System. Acerca dos julgamentos sobre as variáveis, o modelo baseia-se na utilização do método Analytic Hierarchy Process. O resultado do modelo é apresentado através de níveis de risco, aplicado a quatorze setores da economia brasileira. A dissertação se encerra com uma discussão sobre os resultados, bem como com um esboço do direcionamento para futuras pesquisas.
Due to the increasing importance of the financial market over the past decades, credit risk has become a paramount issue in investment, loan spreads, corporate solvency, trends and prospetcs, etc. Credit risk evaluation models may be classified in two broad categories: quantitative and qualitative. Quantitative models seek to analyze information from financial statement and indexes, while qualitative models focus on the analysis of intangible variables that affect global business. These models typically follow a top-down approach by analyzing the industry risk, competitiveness and peer comparison and management. The aim of this thesis is to present an industry risk assessment model based on multicriteria analysis methods that can measure the strengh of variables that affect the industries of Brazilian economy, as well as the influence between them. The model is based primarily on the Weighted Influence Non-Linear Gauge System method. Concerning human judgements about the variables, the model is founded on the use of the Analytic Hierarchy Process method. The result from the model is presented through risk levels, applied to fourteen industries in the Brazilian economy. The thesis closes with a discussion of results, as well as with an outline to future research directions.
Hansen, Richard L. "Risk-based fire research decision methodology." Link to electronic version, 1999. http://www.wpi.edu/Pubs/ETD/Available/etd-051399-154048/unrestricted/thesis.pdf.
Повний текст джерелаSt, Onge Jennifer Rose. "Dopaminergic modulation of risk-based decision making." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/1313.
Повний текст джерелаSamson, Sundeep. "Performance based decisions under uncertainty and risk." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1219855032/.
Повний текст джерелаAbdel, Moteleb Moustafa. "Risk Based Decision Making Tools for Sewer Infrastructure Management." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282051778.
Повний текст джерелаDiaz, Michelle Chandler. "Risk identification and assessment in a risk based audit environment: the effects of budget constraints and decision aid use." Diss., Texas A&M University, 2005. http://hdl.handle.net/1969.1/4363.
Повний текст джерелаLampi, Elina. "Individual preferences, choices, and risk perceptions - survey based evidence /." Göteborg : University of Gothenburg, 2008. http://catalog.hathitrust.org/api/volumes/oclc/235948582.html.
Повний текст джерелаBrown, Andrew B. "The Relationship of Expected Value-based Risky Decision Making Tasks to Attitudes Toward Various Kinds of Risks." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1304448647.
Повний текст джерелаSheykhi, Reza. "Risk-Based Decision Making Support for Construction Corporate Resource Management." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/3039.
Повний текст джерелаJin, Nam-Hee. "A risk-based decision making tool for sustainable bridge management." Thesis, University of Surrey, 2007. http://epubs.surrey.ac.uk/747/.
Повний текст джерелаRoberts, Caroline. "Risk-based decision-making for the management of structural assets." Thesis, Cranfield University, 1999. http://dspace.lib.cranfield.ac.uk/handle/1826/4587.
Повний текст джерелаKomaki, Ghorbanmohammad. "PORTFOLIO SELECTION AND RISK DISPERSION BASED ON GEOMETRIC DISPERSION THEORY." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1512232304419177.
Повний текст джерелаHay, Wilson Lesly Isabel. "A spatial environmental risk assessment methodology for risk-based decision making at large, complex facilities /." Full text (PDF) from UMI/Dissertation Abstracts International, 2000. http://wwwlib.umi.com/cr/utexas/fullcit?p3004279.
Повний текст джерелаSt, Onge Jennifer Rose. "The contribution of prefrontal-subcortical circuitry to risk-based decision making." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/39878.
Повний текст джерелаBorgomeo, Edoardo. "Climate change and water resources : risk-based approaches for decision-making." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:a57a491f-96fb-4579-bd8a-ba7e86722dea.
Повний текст джерелаMt-Isa, Shahrul Hisham. "Improving evidence-based risk-benefit decision-making of medicines for children." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/9049.
Повний текст джерелаLiu, Yi. "An explicit risk-based approach for large-levee safety decisions /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CIVL%202009%20LIU.
Повний текст джерелаDanish, Tawfig Yousef. "A knowledge-based decision support system for computer disaster prevention in IT centres." Thesis, University of Newcastle Upon Tyne, 1994. http://hdl.handle.net/10443/2005.
Повний текст джерелаAckerman, Jr Paul J. "Condition Assessment, Indices, and Risk-based Decision-making for Public School Infrastructure Managment." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/50446.
Повний текст джерелаPh. D.
Marques, Maria do Carmo Correia. "Risk-based decision support system for life cycle management of industrials plants." Doctoral thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/7978.
Повний текст джерелаThe objective of this thesis is to contribute for a better understanding of the decision making process in industrial plants specifically in situations with impact in the long term performance of the plant. The way decisions are made, and especially the motivations that lead to the selection of a specific course of action, are sometimes unclear and lack on justification. This is particularly critical in cases where inappropriate decisions drive to an increase on the production costs. Industrial plants are part of these cases, specifically the ones that are still lacking enhanced monitoring technologies and associated decision support systems. Maintenance has been identified as one of the critical areas regarding impact on performance. This is due to the fact that maintenance costs still represent a considerable slice of the production costs. Thus, understanding the way maintenance procedures are executed, and more important, the methods used to decide when maintenance should be developed and how, have been a concern of decision makers in industrial plants. This thesis proposes a methodology to efficiently transform the existing information on the plant behaviour into knowledge that may be used to support the decision process in maintenance activities. The development of an appropriate knowledge model relating the core aspects of the process enables the extraction of new knowledge based on the past experience. This thesis proposes also a methodology to calculate the risk associated to each maintenance situation and, based on the possible actions and on the impacts they may have in the plant costs performance, suggests the most appropriate course. The suggestion is made aiming the minimization of the life cycle costs. Results have been validated in test cases performed both at simulation and real industrial environments. The results obtained at the tests cases demonstrated the feasibility of the developed methodology as well as its adequateness and applicability in the domain of interest.
Washko, J. Matthew(Jon Matthew). "Risk based decision making for the deferment of U.S. Navy submarine maintenance." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122312.
Повний текст джерелаThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (page 49).
Maintenance of United States Navy submarines is a complex set of operations comprised of scheduling, budgeting, and executing a continuous stream of work across multiple vessels in the same maintenance facility year after year. Local personnel are involved in the details of the day to day operations and focus deeply on today and tomorrow, with little bandwidth to focus on larger, systemic issues with impacts far removed from today. The addition of fluctuating annual funding levels, a younger workforce, and the pressures to meet national defense requirements add complexity and compound the pressure to mortgage tomorrow for today by deferring work without regards to its later impact. Recently, the maintenance community has begun to invest time and resources in these larger, systemic issues. This thesis investigates the impacts of deferred maintenance actions on the timely completion of submarine maintenance periods by analyzing data from 50 refits executed over a decade at Trident Refit Facility in King's Bay, Georgia. The results of this thesis are best understood in three parts: the impact of deferred maintenance actions on submarine refit on-time completions, the development of a technical, risk-based deferment decision tool, and the possible application of deferring or canceling certain maintenance items as a way to reduce the maintenance workload across the fleet. The first part shows the quantitative analysis of the data demonstrating that deferred maintenance actions are not having any negative impacts to on-time schedule execution. The second part shows how through technical analysis and application of a probability and consequence risk framework, deferment decisions can be analyzed to ensure that only low-risk work is being deferred. And finally, an application of that same framework can be made across the fleet to lower the maintenance backlog.
by J. Matthew Washko.
Nav. E.
S.M.
Nav.E. Massachusetts Institute of Technology, Department of Mechanical Engineering
S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering
Haghighi, Mona. "Rule-based Risk Monitoring Systems for Complex Datasets." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6248.
Повний текст джерелаCai, Zhongtang. "Risk-based proactive availability management." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22581.
Повний текст джерелаCommittee Member: Ahamad, Mustaque; Committee Member: Eisenhauer, Greg; Committee Member: Milojicic, Dejan; Committee Member: Pu, Calton; Committee Member: Schwan, Karsten.
Ormon, Stephen Wayne. "Development of a hierarchical, model-based design decision-support tool for assessing uncertainty of cost estimates." Master's thesis, Mississippi State : Mississippi State University, 2002. http://library.msstate.edu/etd/show.asp?etd=etd-04092002-084914.
Повний текст джерелаLee, Benjamin David. "An investigation of prescribed risk management practices in engineering design." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33958.
Повний текст джерелаBicik, 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.
Повний текст джерелаRehan, Balqis Mohamed. "Risk-based flood protection decisions in the context of climatic variability and change." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:d4f3ecc7-0a85-46fe-a66c-4251ddbca83a.
Повний текст джерелаUrquhart, Christine J. "Models of information value based on reliability and risk for clinical decision making." Thesis, Aberystwyth University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367546.
Повний текст джерелаManap, Norpadzlihatun. "Risk-based decision making framework for the integrated environmental management of dredging sediments." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/18052.
Повний текст джерелаAiassa, E. "RISK ASSESSMENT FOR BOVINE WELFARE AT SLAUGHTER. A COMPARISON BETWEEN A RISK ASSESSMENT BASED ON EMPIRICAL DATA AND A RISK ASSESSMENT BASED ON EXPERT OPINION." Doctoral thesis, Università degli Studi di Milano, 2011. http://hdl.handle.net/2434/155485.
Повний текст джерелаEl, Sabbagh Amid. "Seismic Risk Assessment of Unreinforced Masonry Buildings Using Fuzzy Based Techniques for the Regional Seismic Risk Assessment of Ottawa, Ontario." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30508.
Повний текст джерелаCrotta, M. "PROBABILISTIC MODELLING IN FOOD SAFETY: A SCIENCE-BASED APPROACH FOR POLICY DECISIONS." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/339138.
Повний текст джерелаHamouda, Ghada. "Risk-Based Decision Support Model for Planning Emergency Response for Hazardous Materials Road Accidents." Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/829.
Повний текст джерелаStopper, Colin Michael. "Dissociable roles for nucleus accumbens core and shell in regulating risk-based decision making." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/27820.
Повний текст джерелаMeraner, Manuela [Verfasser]. "Decision making under risk in agriculture : An experimental and survey based analysis / Manuela Meraner." Bonn : Universitäts- und Landesbibliothek Bonn, 2017. http://d-nb.info/1150182970/34.
Повний текст джерелаChesney, Peter Eric. "A computer-based modelling framework for incorporating public perceptual values into risk decision-making." Thesis, University of Derby, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409077.
Повний текст джерелаHifi, Nabile. "Decision support system for risk-based inspection and maintenance planning for ship hull structures." Thesis, University of Strathclyde, 2013. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=25552.
Повний текст джерелаGhorbani, Komsari Sajjad. "Seismic Risk Assessment of Wood Frame Construction Using Fuzzy Based Techniques." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31450.
Повний текст джерелаBello-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.
Повний текст джерелаBharadwaj, Ujjwal R. "Risk based life management of offshore structures and equipment." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/8554.
Повний текст джерелаBoadi, Richard S. "Integrated asset management framework: using risk-based decision-support systems to manage ancillary highway assets." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53562.
Повний текст джерелаOdediran, Sunday Julius. "A risk-based entry decision model for South African construction companies venturing into African markets." Doctoral thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/23651.
Повний текст джерелаAgostini, Paola <1975>. "Risk-based management of contaminated mega-sites: decision support systemas as integrating tools for sustainability." Doctoral thesis, Università Ca' Foscari Venezia, 2006. http://hdl.handle.net/10579/316.
Повний текст джерелаIvans, Jr William Jeffrey. "A Decision Support Framework for Assessing the Technical Adequacy of Performance-Based Design Approaches to Fire Safety Engineering." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-dissertations/491.
Повний текст джерелаFaverjon, Céline. "Risk based surveillance for vector-borne diseases in horses : combining multiple sources of evidence to improve decision making." Thesis, Clermont-Ferrand 2, 2015. http://www.theses.fr/2015CLF22604/document.
Повний текст джерелаEmerging vector-borne diseases are a growing concern, especially for horse populations, which are at particular risk for disease spread. In general, horses travel widely and frequently and, despite the health and economic impacts of equine diseases, effective health regulations and biosecurity systems to ensure safe equine movements are not always in place. The present work proposes to improve the surveillance of vector-borne diseases in horses through the use of different approaches that assess the probability of occurrence of a newly introduced epidemic. First, we developed a spatiotemporal quantitative model which combined various probabilities in order to estimate the risk of introduction of African horse sickness and equine encephalosis. Such combinations of risk provided more a detailed picture of the true risk posed by these pathogens. Second, we assessed syndromic surveillance systems using two approaches: a classical approach with the alarm threshold based on the standard error of prediction, and a Bayesian approach based on a likelihood ratio. We focused particularly on the early detection of West Nile virus using reports of nervous symptoms in horses. Both approaches provided interesting results but Bayes’ rule was especially useful as it provided a quantitative output and was able to combine different epidemiological information. Finally, a Bayesian approach was also used to quantitatively combine various sources of risk estimation in a multivariate syndromic surveillance system, as well as a combination of quantitative risk assessment with syndromic surveillance (applied to West Nile virus and equine encephalosis, respectively). Combining evidence provided promising results. This work, based on risk estimations, strengthens the surveillance of VBDs in horses and can support public health decision making. It also, however, highlights the need to improve data collection and data sharing, to implement full performance assessments of complex surveillance systems, and to use effective communication and training to promote the adoption of these approaches
Qiao, Yuanhua. "Quantitative transportation risk analysis based on available data/databases: decision support tools for hazardous materials transportation." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/5940.
Повний текст джерелаBorodin, Dmitry. "Development and Application of Credit Scoring Models in Retail Decision-Making Processes of Financial Institutions." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-264692.
Повний текст джерелаSun, Yu. "Risk-based framework for freight movement analysis." Thesis, Queensland University of Technology, 2002.
Знайти повний текст джерелаLi, Fan. "Performance evaluation and decision support in industrial system management : a benefit-cost-value-risk based methodology." Thesis, Paris, ENSAM, 2017. http://www.theses.fr/2017ENAM0019/document.
Повний текст джерелаPerformance measurement and management represents serious challenges to practitioners and researchers in industrial engineering and management sciences for efficient decision making with integrated, dynamic and relevant performance information regarding simultaneous accomplishment of multiple stakeholder objectives. Although many methodologies and approaches have already been proposed, there is still room for new advances to go further in assisting managers and engineers to make better decisions in a more systematic manner.Assuming that the performance of an industrial system, project or process can be comprehensively evaluated by four main dimensions (benefit, cost, value and risk), the thesis proposes an original and complete framework as well as an operational methodology to apply relevant supporting methods and tools for the sake of performance evaluation and decision support in industrial projects.Using several examples based on industrial cases, the work emphasises that the proposed methodology can provide the support for: opportunity assessment of several decision alternatives to select the most appropriate one, performance evaluation at any phase of an industrial project and monitoring of an ongoing industrial project requiring performance evaluation at several phases along its life history
Caponiti, Alice K. (Alice Kathleen). "Barriers to implementing risk-based decision making for the Department of Energy's weapons complex cleanup program." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36070.
Повний текст джерела