Дисертації з теми "Risk management Computer simulation"
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Wray, Vicki Lorraine. "Cattle price risk management strategies-using computer simulation to educate Iowa producers of available tools." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/759.
Повний текст джерелаReddy, Praneel. "Cognitive Biases, Volatility, and Risk in Capital Markets: Revealing Risk through Simulation." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/202772.
Повний текст джерелаCarlsson, Elin, and Moa Mattsson. "The MaRiQ model: A quantitative approach to risk management." Thesis, Uppsala universitet, Avdelningen för datalogi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385257.
Повний текст джерелаAyres, Kelley. "Simulation models of bank risk management." Thesis, Kansas State University, 2015. http://hdl.handle.net/2097/18969.
Повний текст джерелаDepartment of Agricultural Economics
Bryan Schurle
Quantifying the impact of various economic events is essential for risk management in community banks. Interest rate shocks of either rapidly increasing or decreasing rates, in magnitudes of at least 200 basis points, is one of the more common risks modeled. Liquidity crises that impact deposits or loan demand can arise from either local or national economic events is another risk factor that regulators are requiring banks to quantify and plan for. Excel spreadsheets can be used to develop models to measure and quantify these risks. Simulation tools and what-if analysis using data table and scenario manager identify possible outcomes for differing interest rate scenarios, interest rate shocks and liquidity stresses. Data table was used for simulation of a stochastic model to produce a cumulative distribution function of two hundred results each on three different interest rate environments. Scenario manager was used to narrow the simulation to a certain set of expectations affecting the balance sheet of the bank and another set of expectations from an interest rate shock. Changes in the bank’s balance sheet resulting from three different commodity price expectations were modeled. An interest rate shock of four hundred basis points over a two year period was also modeled. These models are simple and cost effective. Once data are captured, the time required to develop and generate scenarios is manageable. The model can be used for a wide range of what-if alternatives as an individual bank may see fit. These models are adequate to meet present regulatory requirements for a community bank of smaller size that is not complex and does not possess a high risk profile.
Tena-Chollet, Florian. "Elaboration d'un environnement semi-virtuel de formation à la gestion stratégique de crise, basé sur la simulation multi-agents." Phd thesis, Ecole Nationale Supérieure des Mines de Saint-Etienne, 2012. http://tel.archives-ouvertes.fr/tel-00741941.
Повний текст джерелаAl-Shawi, S. N. A. "Management cybernetics : computer simulation models of operational management organizations." Thesis, Brunel University, 1986. http://bura.brunel.ac.uk/handle/2438/5015.
Повний текст джерелаList, Hans-Fredo. "Limited risk arbitrage investment management." Thesis, Imperial College London, 1996. http://hdl.handle.net/10044/1/8651.
Повний текст джерелаKoskela, Niklas, and Carolina Aspfjäll. "Agile Risk Management." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44975.
Повний текст джерелаAryal, Babu Ram. "Developing the computer simulation model of buzz electronics simulation." Online version, 2009. http://www.uwstout.edu/lib/thesis/2009/2009aryalb.pdf.
Повний текст джерелаHong, Seng-Phil. "Data base security through simulation." Virtual Press, 1994. http://liblink.bsu.edu/uhtbin/catkey/902465.
Повний текст джерелаDepartment of Computer Science
Cai, 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.
Mpanza, Brian Vusumuzi. "Evaluation of Transwerk Risk Management Information System." Thesis, Stellenbosch : Stellenbosch University, 2005. http://hdl.handle.net/10019.1/50346.
Повний текст джерелаENGLISH ABSTRACT: In the last decade, the use of computers has proliferated the industrial arena in South Africa. Due to frequent changes in computer programs and developments in the computing field, users have often been adversely affected. Users experience problems with computer programs that are not user friendly. Usability is about satisfying the user needs by allowing the user to accomplish their goals quickly, efficiently and easily. Thus it is crucial that industries invest in computer programs that offer optimum usability. In this research an attempt is made to provide a framework for methodology that can be used to test and evaluate usability in the Transwerk Risk Management Information System, that is Computer Assisted Risk Management Systems (CARMS). I first consider the difference between unusable and usable programs. Usability properties are then identified including properties enhancing effectiveness, efficiency, flexibility, laemability and attitude of the computer program. The CARMS components or modules and users were identified. Usability problems were identified that cause the users to be selective and discouraged to use other components of CARMS. To further verified and address the usability problems identified, the whole program needs to be tested and evaluated. The methodology was laid for how to do usability testing and evaluation in computer program that are currently in use like CARMS. Benefits and limitations of testing and evaluating usability were detailed in this research. It is recommended that, testing and evaluating usability should be done to prevent errors, dissatisfaction and to improve usability of the CARMS program.
AFRIKAANSE OPSOMMING: In die laaste dekade het die gebruik van rekenaars uitgebrei in die industriele arena in Suid-Afrika. Weens gereelde veranderings in rekenaar programme en ontwikkellings in die informatika veld is gebruikers gereeld nadelig geraak. Gebruikers ervaar probleme met rekenaar programme wat nie gebruikersvriendelik is nie. Bruikbaarheid het te make met bevrediging van gebruikersbehoeftes deur hulle in staat te stel om hulle doelwitte vinnig, doelmatig en maklik te bereik. Dit is dus van kritiese belang dat industriee investeer in rekenaar programme wat optimale bruikbaarheid bied. In hierdie navorsing word gepoog om 'n raamwerk vir metodologie wat gebruik kan word om die bruikbaarheid van die "Transwerk Risk Management Information System" (dit is "Computer Assisted Risk Management Systems" of CARMS) te toets en te evalueer. Ek bespreek eerstens die verskil tussen onbruikbare en bruikbare programme. Bruikbaarheidseienskappe word dan geidentifiseer, insluitend eienskappe wat doeltreffendheid, doelmatigheid, buigsaamheid, aanleerbaarheid en houding van die rekenaar program verbeter. Die CARMS komponente of modules en gebruikers is geidentifiseer. Bruikbaarheidsprobleme is geidentifiseer wat veroorsaak dat gebruikers selektief raak en ontmoedig raak om ander komponente van CARMS te gebruik. Om verder die geidentifiseerde bruikbaarheidsprobleme te verifieer en adreseer moet die hele program getoets en evalueer word. Die metodologie is vasgele waarvolgens bruikbaarheidstoetsing en evaluasie van rekenaar programme wat tans in gebruik is (soos CARMS) gedoen kan word. Voordele en beperkings van bruikbaarheidstoetsing en -evaluasie is in hierdie navorsing vervat. Dit word aanbeveel dat bruikbaarheidstoetsing en -evaluasie gedoen moet word om foute en ontevredenheid te voorkom en om die bruikbaarheid van die CARMS program te verbeter.
Von, Raubenheimer Albert Ludwich. "Strategic supply chain management using simulation." Pretoria : [s.n.], 2005. http://upetd.up.ac.za/thesis/available/etd-12012005-092956/.
Повний текст джерелаMucino, Marco. "CCGT performance simulation and diagnostics for operations optimisation and risk management." Thesis, Cranfield University, 2007. http://hdl.handle.net/1826/2806.
Повний текст джерелаBen, Jbara Noah. "Risk management in supply chains : a simulation and model-based approach." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAI003.
Повний текст джерелаControlling risks is an important issue for companies. Far from being only the prerogative of natural disasters, the disruptions of today's supply chains can sometimes be caused by minor events amplified by the flaws of increasingly complex industrial organizations, causing severe economic losses.Risk management in supply chains is a recent theme and the proposed solutions are not yet able to meet the needs of practitioners. One of the solutions to analyse risks is using simulation. But, despite its effectiveness to cover the complexity of the chain, it still presents a major weakness which is the difficulty of implementation.The aim of this thesis is to facilitate and to adapt the simulation for risk analysis of supply chains. Thus, we have developed a modeling framework for simulation which enables an easy construction of models of supply chain structure, behavior and if the associated risks. This is done through the proposition of a set of meta-models and libraries, defined on the basis of the SCOR reference model. In addition, we proposed a translation guide for the translation of the conceptual model of supply chains into a simulation model and enabling testing risk scenario. Additionaly, we developed a library of simulation modules.A case study was conducted and the results show the relevance of the proposed approach
Gerardi, Nicole. "Evaluation of computer-based simulation for pain management education." Honors in the Major Thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/847.
Повний текст джерелаB.S.N.
Bachelors
Nursing
Nursing
Kleinknecht, Manuel. "Improving market risk management with heuristic algorithms." Thesis, University of Essex, 2017. http://repository.essex.ac.uk/20426/.
Повний текст джерелаCroce, Steven A. "Risk management framework for evaluating suppliers." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40544.
Повний текст джерелаIncludes bibliographical references (p. 50).
Sikorsky Aircraft Co. currently finds itself in a critical growth period, in terms of both sales contracts and supplier agreements. Popular supply chain strategies preach reduction and simplification of the supply base, but Sikorsky encounters "must-grow" situations with their supply base, due to factors like international offset provisions and capacity needs. Growth in the number of supplier relationships each year strains the supply management department and makes it difficult to complete full analyses of new suppliers. The goal of this research is to provide tools that combine the knowledge of experienced supply chain employees with statistical analysis in a package that will allow any member of the supply chain group to complete a thorough supplier risk analysis in the minimum amount of time. To address Sikorsky's supply chain risk, a concrete framework is desired that will ask the right questions about a supplier and produce an indicator of the level of risk involved in a supplier agreement. This project sets out to identify the connections between the sources of risk (risk drivers) and affected performance metrics (effects). These connections can be presented in an easy-to-use tool that enables quick yet thorough analyses. The framework links supplier analyses with the resulting performance, and uses the results to make data driven inferences about future supplier relationships. This allows quick and informed assessments by anyone in the supply chain group, regardless of their level of experience. The result of this project is a software-based risk assessment framework with scoring based on historical Sikorsky supplier performance.
(cont.) The data have revealed through statistical regression analysis strong correlations between a number of risk drivers and resulting supplier performance. These correlations can be used to score suppliers with similar attributes through the model. In addition, the model can be used as a knowledge retention mechanism of supplier performance data to facilitate future refinements of both the model and risk driver/effect correlations.
by Steven A. Croce.
M.B.A.
S.M.
Brink, Charlotte H. "Measuring political risk as risks to foreign investment : a computer-assisted model for analysing and managing political risk." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/52929.
Повний текст джерелаENGLISH ABSTRACT: As the title suggests, the major challenge that this study faces is to set out and design a model for analysing and enabling the management of political risk as investment risk - a model that is both sensitive to and reflective of the comprehensive business and investment climate in a country, not only credit or country risk, or only pure political risk in its narrowest definition. In reading about past and more recent research in the field of political risk analysis, it becomes clear that many authors begin by noting the diversity and the discrepancies of the existing definitions of political risk, but evidence in political risk insurance shows that the major perceived political risks that investors insure their interests against seem to be confiscation, expropriation and nationalisation. In the light of this study's findings though, a case can be put forward for urging that the conceptualisation of political risk be extended to further include any or all of the micro political risk factors and their indicators that have been identified to ensure that political events do not impact negatively on a foreign company's profitability. Foreign investors put assets at risk to achieve their objectives and the assessment of these risks, including political risks, is the key to successful operations. Opportunities and risks are often two sides of the same coin and political risk comprises a large part of the environmental forces in terms of the management challenges a Multinational Company (MNC) faces in any investment climate. A firm's foreign investment strategy deals with the positioning of the organisation in an uncertain host country environment and investment climate. This study attempts to explain how a firm's political risk exposure, which refers to the sensitivity of a firm's projected profitability and operationability in a host country to changes in the investment climate, could be managed and reduced. It is hoped that political risk analysis and management can assist foreign operations in managing the risks that might have otherwise proven to be destructive to profitability and operationability. It is irresponsible to present a potential investor with a risk assessment that does not incorporate political risk factors and their indicators, let alone environmental, societal and socio-economic risk factor indicators. Ultimately any business climate, regardless of the country being studied, is underwritten by a political system, political climate, political culture and business culture of the system in which foreign business wishes to operate profitably. What is often labelled as unnecessary and irrelevant detail in risk analysis often results in a lack of using micro risk factors and their indicators and an underestimation of the importance of such micro risk indicators. Hopefully this study takes up the challenge of showing that political risk can be managed and political risk analysis can be made more precise - that it is possible to measure and manage political risk.
AFRIKAANSE OPSOMMING: Soos die titel van hierdie studie voorstel is een van die grootste uitdagings die ontwerp van 'n model vir die analise van politieke risiko as beleggingsrisiko - 'n model wat ter selfde tyd sensitief is vir en weerspieëlend van 'n land se algemeen omvattende besigheids- en beleggingsklimaat, en nie slegs suiwer politieke risiko in die nouste sin van die woord nie. 'n Literatuurstudie van meer onlangse navorsing, asook navorsing wat in die verlede gedoen is oor politieke risiko en die analise daarvan, dui daarop dat baie outeurs melding maak van die diversiteit en teenstrydighede in die bestaande definisies van politieke risiko. Die teenwoordigheid van versekering teen politieke risiko wys egter daarop dat die primêre politieke risiko's waarteen beleggers hulle belange verseker meesal nasionalisering en onteiening is, asook die beslaglegging op beleggings. Teen die agtergrond van hierdie studie se bevindinge, kan daar egter 'n saak uitgemaak word vir die verbreeding van die konseptualisering van politieke risiko om enige of alle van die mikro-politieke risiko faktorindikatore wat in hierdie studie identifiseer word in te sluit, om sodoende te verseker dat die negatiewe gevolge wat politieke gebeure moontlik mag inhou vir 'n buitelandse maatskappy se belange, sover moontlik beperk word. Buitelandse beleggers stel bates bloot aan risiko's ten einde voorafgestelde doelwitte te bereik en die assessering van hierdie risiko's, insluitende politieke risiko's, is 'n groot bydraende' faktor tot die suksesvolle bedryf van buitelandse beleggings. Geleenthede en risiko's is dikwels twee kante van diesIefde muntstuk en politieke risiko maak 'n groot deel uit van die uitdagende beleggingsomgewing waarin die bestuur van 'n multinasionale korporasie (MNK) daagliks moet funksioneer. 'n Maatskappy se buitelandse beleggingstrategie handel met die posisionering van die organisasie in die onvoorspelbare beleggingsklimaat van 'n vreemde land. Hierdie studie poog ook om te verduidelik hoe die mate waarin 'n firma blootgestel word aan politieke risiko, met ander woorde die sensitiwiteit van 'n firma se voorgenome winsgewendheid en bedryf teenoor veranderinge in die beleggingsklimaat van 'n vreemde land, bestuur en verminder kan word. Daar word gehoop dat politieke risiko analise en die bestuur daarvan 'n bydra kan lewer tot buitelandse besighede se bestuur van hierdie risiko's, wat andersins 'n vemietgende impak kan hê op die winsgewendheid van buitelandse bedrywighede. Dit is onverantwoordelik om aan 'n buitelandse belegger 'n risiko analise voor te lê wat nie politieke risiko faktore en die daarmee gepaardgaande indikatore insluit nie. Die studie argumenteer verder dat faktorindikatore wat die fisiese omgewing, sosiale asook sosio-ekonomiese faktore aanspreek ook in 'n risiko analise ingesluit moet word. Oplaas is enige besigheidsklimaat, nieteenstaande die land wat bestudeer word, onderskryf deur 'n politieke stelsel, politieke klimaat, politieke kultuur en besigheidskultuur van die stelsel waarin die buitelandse besigheid winsgewende resultate as doelwit het. Wat dikwels beskou word as onnodige en irrelevante detail in risiko analise lei dikwels tot 'n gebrek aan die insluiting van mikro-risiko faktore en hulle indikatore weens 'n onderskatting van die noodsaaklikheid daarvan om juis sulke mikro-risiko faktorindikatore in 'n risiko analise in te bou. Hierdie studie aanvaar hopelik die uitdaging om te wys dat politieke risiko tog bestuur kan word en dat politieke risiko analise tog meer eksak gemaak kan word - dat dit wel moontlik is om politieke risiko te meet en bestuur.
Kinder, Andrew M. K. "A model-based approach to System of Systems risk management." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/27553.
Повний текст джерелаFucik, Markus. "Bayesian risk management : "Frequency does not make you smarter"." Phd thesis, Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2011/5308/.
Повний текст джерелаDie vorliegende Arbeit befasst sich mit den Ansätzen eines Bayes’schen Risikomanagements zur Messung von Risiken. Dabei konzentriert sich die Arbeit auf folgende zentrale Fragestellungen: (1) Wie ist es möglich, transparent Risiken zu quantifizieren, falls nur eine begrenzte Anzahl an geeigneten historischen Beobachtungen zur Datenanalyse zur Verfügung steht? (2) Wie ist es möglich, transparent Risiken zu quantifizieren, falls mangels geeigneter historischer Beobachtungen keine Datenanalyse möglich ist? (3) Inwieweit ist es möglich, Willkür und Beliebigkeit bei der Risikoquantifizierung zu begrenzen? Zur Beantwortung der ersten Frage schlägt diese Arbeit die Anwendung der Bayes’schen Statistik vor. Im Gegensatz zu klassischen Kleinste-Quadrate bzw. Maximum-Likelihood Punktschätzern können Bayes’sche A-Posteriori Verteilungen die dateninduzierte Parameter- und Modellunsicherheit explizit messen. Als Anwendungsbeispiel werden in der Arbeit zwölf verschiedene stochastische Prozesse an CO2-Preiszeitreihen mittels des effizienten Bayes’schen Markov Chain Monte Carlo (MCMC) Simulationsalgorithmus kalibriert. Da die Bayes’sche Statistik die Berechnung von Modellwahrscheinlichkeiten zur kardinalen Modellgütemessung erlaubt, konnten Log-Varianz Prozesse als mit Abstand beste Modellklasse identifiziert werden. Für ausgewählte Prozesse wurden zusätzlich die Auswirkung von Parameterunsicherheit auf abgeleitete Risikomaße (ex-ante/ ex-post Value-at-Risks, regulatorische Kapitalrücklagen, Optionspreise) untersucht. Generell sind die Unterschiede zwischen Bayes’schen und klassischen Risikomaßen umso größer, je komplexer die Modellannahmen für den CO2-Preis sind. Überdies sind Bayes’sche Value-at-Risks und Kapitalrücklagen konservativer als ihre klassischen Pendants (Risikoprämie für Parameterunsicherheit). Bezüglich der zweiten Frage ist die in dieser Arbeit vertretene Position, dass eine Risikoquantifizierung ohne (ausreichend) verlässliche Daten nur durch die Berücksichtigung von Expertenwissen erfolgen kann. Dies erfordert ein strukturiertes Vorgehen. Daher wird das integrated Bayesian Risk Analysis (iBRA) Konzept vorgestellt, welches Konzepte, Techniken und Werkzeuge zur expertenbasierten Identifizierung und Quantifizierung von Risikofaktoren und deren Abhängigkeiten vereint. Darüber hinaus bietet es Ansätze für den Umgang mit konkurrierenden Expertenmeinungen. Da gerade ressourceneffiziente Werkzeuge zur Quantifizierung von Expertenwissen von besonderem Interesse für die Praxis sind, wurden im Rahmen dieser Arbeit der Onlinemarkt PCXtrade und die Onlinebefragungsplattform PCXquest konzipiert und mehrfach erfolgreich getestet. In zwei empirischen Studien wurde zudem untersucht, inwieweit Menschen überhaupt in der Lage sind, ihre Unsicherheiten zu quantifizieren und inwieweit sie Selbsteinschätzungen von Experten bewerten. Die Ergebnisse deuten an, dass Menschen zu einer Selbstüberschätzung ihrer Prognosefähigkeiten neigen und tendenziell hohes Vertrauen in solche Experteneinschätzungen zeigen, zu denen der jeweilige Experte selbst hohes Zutrauen geäußert hat. Zu letzterer Feststellung ist jedoch zu bemerken, dass ein nicht unbeträchtlicher Teil der Befragten sehr hohe Selbsteinschätzung des Experten als negativ ansehen. Da der Bayesianismus Wahrscheinlichkeiten als Maß für die persönliche Unsicherheit propagiert, bietet er keinerlei Rahmen für die Verifizierung bzw. Falsifizierung von Einschätzungen. Dies wird mitunter mit Beliebigkeit gleichgesetzt und könnte einer der Gründe sein, dass offen praktizierter Bayesianismus in Deutschland ein Schattendasein fristet. Die vorliegende Arbeit stellt daher das Konzept des Bayesian Due Diligence zur Diskussion. Es schlägt eine kriterienbasierte Bewertung von Experteneinschätzungen vor, welche insbesondere die Intersubjektivität und den Informationsgehalt von Einschätzungen beleuchtet.
Alzahrani, Saleh. "Dynamic simulation of the impact of risk events and risk cost in KSA PPP projects." Thesis, University of Liverpool, 2015. http://livrepository.liverpool.ac.uk/2013619/.
Повний текст джерелаKaranwal, Anup. "Implementation of Simulation Techniques for Supply Chain Risk Management in Process Industry." Thesis, KTH, Industriell produktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-218019.
Повний текст джерелаEl-adaway, Islam Hassan. "Construction dispute mitigation through multi-agent based simulation and risk management modeling." [Ames, Iowa : Iowa State University], 2008.
Знайти повний текст джерелаNyfjord, Jaana. "Towards integrating agile development and risk management." Doctoral thesis, Kista : Department of Computer and Systems Sciences (together with KTH), Stockholm University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-8138.
Повний текст джерелаLu, Kaiyuan. "Data distribution management schemes for HLA-compliant distributed simulation systems." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27151.
Повний текст джерелаJivakanont, Vacharakoon. "Risk, risk management and settlement efficiency in securities settlement and payment systems in Thailand : A simulation approach." Thesis, University of Reading, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.529947.
Повний текст джерелаLee, Jong Sik. "Space-based data management for high-performance distributed simulation." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/279803.
Повний текст джерелаGandonou, Jean-Marc A. "ESSAYS ON PRECISION AGRICULTURE TECHNOLOGY ADOPTION AND RISK MANAGEMENT." UKnowledge, 2005. http://uknowledge.uky.edu/gradschool_diss/227.
Повний текст джерелаRey, Maria (Maria de los Santos), and Xiaofan Xu. "Identifying inventory excess and service risk in medical devices : a simulation approach." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112859.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 81-82).
Medical devices companies struggle to balance between inventory and service performance, as the products are non-interchangeable and inventory investment is expensive. To find the right level of inventory, we first used unsupervised clustering method to find demand pattern uncertainty for each product. Then, we developed a simulation-based approach to determine the required inventory to achieve a required service level guarantee. We further explored policy changes in the demand fulfillment process to identify how the company can effectively improve performance without increasing inventory level. After comparing different results, we concluded that reduction of replenishment lead time is the most effective measure. The methodology can be applied to a wide range of products and sectors.
by Maria Rey and Xiaofan Xu.
M. Eng. in Supply Chain Management
Lee, Hwayoung. "Portfolio liquidity risk management with expected shortfall constraints." Thesis, University of Essex, 2016. http://repository.essex.ac.uk/17762/.
Повний текст джерелаOgbanufe, Obiageli. "Three Essays on Information Security Risk Management." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157576/.
Повний текст джерелаMallinson, Clyde A. "Risk analysis assessment of the influence of geological factors on exploration and mining investment alternatives : development of a microcomputer simulation model." Thesis, Rhodes University, 1987. http://hdl.handle.net/10962/d1001564.
Повний текст джерелаWang, Lawrence C. (Lawrence Chi-Chung) 1977. "AMPS : a simulation system for modeling and analyzing the psychology of risk-taking." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87878.
Повний текст джерелаIncludes bibliographical references (leaves 109-110).
by Lawrence C. Wang.
M.Eng.
Mazenko, Gregory J. (Gregory Joseph). "Optimization of a battery manufacturing line using computer simulation." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/38081.
Повний текст джерелаIncludes bibliographical references (p. 97).
by Gregory J. Mazenko.
M.S.
Park, Joongwoo Brian. "Capacity control in network revenue management : clustering and risk-aversion." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/58181.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (p. 53-54).
Network revenue management is the practice of using optimal decision policies to increase revenues by controlling limited quantities of multiple resources' availability and prices over finite time. It is widely practiced in capacity-constrained service industries such as the airlines, hotels, car rentals, and cruise-lines. A variety of control methods has been introduced for network resource capacity control problem. We propose a clustering method to improve approximation quality. By clustering the legs of the network, one can find tighter upperbound than leg-wise decomposition with loss of computation speed due to larger state space. We have shown that there is more than 6% revenue improvement opportunity by finding the right clustering. With local interchange heuristic and generic heuristics, finding a locally optimal clustering can be done in faster time. We also introduce risk-aversion in network revenue management. We have investigated risk-aversion on network revenue management and also study the impact of risk-aversion parameters in the optimization model on relative revenue-risk performance.
by Joongwoo Brian Park.
S.M.
Tisell, Victoria. "Risk management of groundwater drawdown in settlement sensitive areas." Thesis, KTH, Mark- och vattenteknik (flyttat 20130630), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171829.
Повний текст джерелаHlupic, Vlatka. "Simulation modelling software approaches to manufacturing problems." Thesis, London School of Economics and Political Science (University of London), 1993. http://etheses.lse.ac.uk/56/.
Повний текст джерелаHengnirun, Somgiat. "A computer simulation model for manurial nitrogen management : environmental aspects (MANIMEA)." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=40357.
Повний текст джерелаThe model was developed to be interactive and user-friendly and was constructed on a modular basis using Microsoft FORTRAN PowerStation$ sp circler$ as a compiler. It can be run on an IBM$ sp circler$ or IBM compatible microcomputer with a minimum requirement of a 386 microprocessor with 4 MB RAM. This model was developed as a nitrogen management-oriented model. However, it can also be used to gain further understanding of nitrogen processes for research and teaching purposes.
The accuracy of the stimulation was enhanced by taking into account moisture and temperature variation and distribution in the soil. The SWACROP and the HEAT programs were integrated into the MANIMEA model to generate transient moisture and temperature profiles, respectively. The Numerical Method Of Lines (NMOL) technique, which implements finite difference method, was used to numerically solve the partial differential equations in the model.
Generally, the results generated by the MANIMEA model using the parameters from literature agreed with the results obtained by analytical solutions and from experiments. It was found that the model is highly sensitive to the volatilization and net mineralization rate constants $(K sb{v}$ and $K sb{m}).$ The study showed that the MANIMEA model can be implemented to evaluate nitrogen transformations, transport, and plant uptake for a wide range of climatic and soil conditions and organic type of wastes. Such a tool can contribute to the protection of our environment through a better management of organic nitrogen fertilizer and a better understanding of the nitrogen processes.
Cates, Grant. "IMPROVING PROJECT MANAGEMENT WITH SIMULATION AND COMPLETION DISTRIBUTI." Doctoral diss., University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3255.
Повний текст джерелаPh.D.
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering and Management Systems
Lu, Yang, and Kevin Visvanathar. "Demand Deposits : Valuation and Interest Rate Risk Management." Thesis, KTH, Entreprenörskap och Innovation, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169463.
Повний текст джерелаTill foljd av nanskrisen 2008 har regulatoriska myndigheter infort mer strikta regelverk for att framja en sund nansiell riskhantering hos banker. Trots avistakontons okade betydelse for banker har inga regulatoriska riktlinjer introducerats for hur den associerade ranterisken ska hanteras ur ett riskperspektiv. Avistakonton ar forknippade med tva faktorer som forsvarar utvarderingen av dess ranterisk med traditionella ranteriskmetoder: de saknar en forutbestamd loptid och avistarantan kan andras nar sa banken onskar. Med hansyn till detta gap fokuserar denna studie pa att empiriskt analysera tva modelleringsramverk for att vardera och mata ranterisken hos avistakonton: Economic Value Model Framework (EVM) and Replicating Portfolio Model Framework (RPM). Analysen genomfors genom att initialt ta fram modeller for hur avistarantan och volymen pa avistakonton utvecklas over tid med hjalp av ett modernt och unikt dataset fran en av Sveriges storsta kommersiella banker. Studiens resultat indikerar att modellerna for avistarantan och avistavolymen inte forbattras nar makroekonomiska variabler ar inkluderade. Detta ar i kontrast till vad tidigare studier har oreslagit. Vidare visar studiens resultat att det modellerna skiljer sig nar avistakontona ar egmenterade pa en mer granular niva. Slutligen pavisar resultatet att EVM producerar ranteriskestimat som ar mindre kansliga for antanganden an RPM.
Berrada, Meryem. "DCMS: A Data Analytics and Management System for Molecular Simulation." Scholar Commons, 2015. https://scholarcommons.usf.edu/etd/5453.
Повний текст джерелаCrosby, Dave. "Project risk management in smaller software teams." Click here to access this resource online, 2007. http://hdl.handle.net/10292/378.
Повний текст джерелаWang, Luoding. "Computer-Simulation-Assisted Lean Manufacturing Training." BYU ScholarsArchive, 2005. https://scholarsarchive.byu.edu/etd/339.
Повний текст джерелаBen, Hadj Saifeddine. "Essays on risk management and financial stability." Thesis, Paris 1, 2017. http://www.theses.fr/2017PA01E003/document.
Повний текст джерелаWe first investigate the computational complexity for estimating quantile based risk measures, such as the widespread Value at Risk for banks and Solvency II capital requirements for insurance companies, via nested Monte Carlo simulations. The estimator is a conditional expectation type estimate where two stage simulations are required to evaluate the risk measure: an outer simulation is used to generate risk factor scenarios that govern price movements and an inner simulation is used to evaluate the future portfolio value based on each of those scenarios. The second essay considers the financial stability from a macro perspective. Measuring negative externalities of banks is a major challenge for financial regulators. We propose a new risk management approach to enhance the financial stability and to increase the fairness of financial transactions. The basic idea is that a bank should assume as much risk as it creates. Any imbalance in the tails of the distribution of profit and losses is a sign of the bank's failure to internalize its externalities or the social costs associated with its activities. The aim of the third essay is to find a theoretical justification toward the mutual benefits for members of a bonking union in the context of a strategic interaction model. We use a unique contagion dynamic that marries the rich literature of game theory, contagion in pandemic crisis and the study of collaboration between regulators. The model is focused toward regulating asset classes, not individual banks. This special design addresses moral hazard issues that could result from government intervention in the case of crisis
Ciflikli, Burak. "Entity Motion Management In Complex Simulation Environments Using Image Generators." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610010/index.pdf.
Повний текст джерелаSchoerner, Daniel (Daniel Richard). "Developing a process for supply chain risk management." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/50093.
Повний текст джерелаIncludes bibliographical references (p. 65).
In today's competitive markets, companies look for any advantage they can build over their competitors. A number of companies recognize that supply chain excellence is an opportunity to create such an advantage. A superior supply chain provides manufacturing flexibility, fast on-time delivery, and lower cost products than those of a lesser competitor. Risk management concepts are beginning to be applied to supply chains in ever-broadening scope. Companies reliant on their supply chains now seek innovative ways to manage risk to the supply chain and ensure its smooth operation. Implementing a risk management process for the supply chain can generate long term value for a company by improving continuity of supply and component quality. By identifying risks to the supply of necessary components and then assessing the risk of each component's availability and quality, it is possible to gain a comprehensive understanding of the risk to the supply chain for a given product or product family. This understanding of the risk to the supply chain allows managers to make decisions based on the expected costs and assists them in determining the appropriate risk mitigation activities.
by Daniel Schoerner.
S.M.
M.B.A.
Manghat, Jaidev. "Simulation of power distribution management system using OMACS metamodel." Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/944.
Повний текст джерелаAgarwal, Ravikant. "A flexible model for multi-agent based simulation of software development process." Auburn, Ala., 2007. http://repo.lib.auburn.edu/2007%20Fall%20Dissertations/Agarwal_Ravikant_38.pdf.
Повний текст джерелаLi, C. "Risk modelling and simulation of chemical supply chains using a system dynamics approach." Thesis, Liverpool John Moores University, 2016. http://researchonline.ljmu.ac.uk/4254/.
Повний текст джерела