Dissertations / Theses on the topic 'Holistic Simulation'
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Dawson, Jeffrey. "A HOLISTIC USABILITY FRAMEWORK FOR DISTRIBUTED SIMULATION SYSTEMS." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2346.
Full textPh.D.
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering and Management Systems
Schmicker, David [Verfasser]. "A holistic approach on the simulation of rotary friction welding / David Schmicker." Berlin : epubli GmbH, 2015. http://d-nb.info/1078815674/34.
Full textHughes, Ruby Wai Chung. "SIMT : a holistic framework for embedding simulation into the health care systems." Thesis, Sheffield Hallam University, 2010. http://shura.shu.ac.uk/19844/.
Full textStock, Johannes [Verfasser], Herbert [Gutachter] Gross, Alois [Gutachter] Herkommer, and Alexander [Gutachter] Rohrbach. "Holistic simulation of optical systems / Johannes Stock ; Gutachter: Herbert Gross, Alois Herkommer, Alexander Rohrbach." Jena : Friedrich-Schiller-Universität Jena, 2020. http://d-nb.info/1210027119/34.
Full textLux, Ralph [Verfasser], and A. [Akademischer Betreuer] Albers. "Ganzheitliche Antriebsstrangentwicklung durch Integration von Simulation und Versuch = Holistic drive train development through integration of simulation and testing / Ralph Lux ; Betreuer: A. Albers." Karlsruhe : KIT-Bibliothek, 2021. http://d-nb.info/1235072657/34.
Full textBrinkschulte, Lars, Felix Pult, and Marcus Geimer. "The use of a holistic machine simulation for the development of hydraulic hybrid modules to reduce transient engine-out emissions." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71120.
Full textLin, Yanhui. "A holistic framework of degradation modeling for reliability analysis and maintenance optimization of nuclear safety systems." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLC002/document.
Full textComponents of nuclear safety systems are in general highly reliable, which leads to a difficulty in modeling their degradation and failure behaviors due to the limited amount of data available. Besides, the complexity of such modeling task is increased by the fact that these systems are often subject to multiple competing degradation processes and that these can be dependent under certain circumstances, and influenced by a number of external factors (e.g. temperature, stress, mechanical shocks, etc.). In this complicated problem setting, this PhD work aims to develop a holistic framework of models and computational methods for the reliability-based analysis and maintenance optimization of nuclear safety systems taking into account the available knowledge on the systems, degradation and failure behaviors, their dependencies, the external influencing factors and the associated uncertainties.The original scientific contributions of the work are: (1) For single components, we integrate random shocks into multi-state physics models for component reliability analysis, considering general dependencies between the degradation and two types of random shocks. (2) For multi-component systems (with a limited number of components):(a) a piecewise-deterministic Markov process modeling framework is developed to treat degradation dependency in a system whose degradation processes are modeled by physics-based models and multi-state models; (b) epistemic uncertainty due to incomplete or imprecise knowledge is considered and a finite-volume scheme is extended to assess the (fuzzy) system reliability; (c) the mean absolute deviation importance measures are extended for components with multiple dependent competing degradation processes and subject to maintenance; (d) the optimal maintenance policy considering epistemic uncertainty and degradation dependency is derived by combining finite-volume scheme, differential evolution and non-dominated sorting differential evolution; (e) the modeling framework of (a) is extended by including the impacts of random shocks on the dependent degradation processes.(3) For multi-component systems (with a large number of components), a reliability assessment method is proposed considering degradation dependency, by combining binary decision diagrams and Monte Carlo simulation to reduce computational costs
Graneß, Henry. "Raupenfahrzeug-Dynamik." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-235012.
Full textErhard, Michael, Jörg Schneider, and Jan Julius Stein. "Design and performance evaluation of next generation clutch control valve." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71223.
Full textDomingos, Jean Carlos. "Uso da dinâmica de sistemas no processo de S & OP." Universidade Federal de São Carlos, 2013. https://repositorio.ufscar.br/handle/ufscar/3441.
Full textDespite the process of S&OP (Sales and Operations Planning) is not a new practice in enterprises, especially those of large size, it still deficiency studies in their practices and computational tools support. This happens because it is a complex process where the majority of the representatives managerial of organizational functions participating in the execution, with each trying to contribute to define a coordinated plan of actions for a period of short, medium and long term. Computational models and tools focused to aid the process of S & OP are used and can contribute to improving the quality of its implementation and results. The most common tools are those based on spreadsheets, whose content is generated through the expertise of the decision makers, and more sophisticated techniques are based on techniques of the operational research inserted in Advanced Planning Systems (APS), whose analytical models seek to generate optimized plans. From the literature review on the computational techniques used to aid the S&OP process, was identified the lack of studies related to the use of System Dynamics. Additionally, the review indicates the need for studies related to the integration of economic and financial analysis during the preparation of aggregates plans and the use of probabilistic variables in the process enabling the statistical analysis in order to provide plans more realistic. Another relevant issue observed is that managers involved in the process S&OP does not always have a global vision of all variables and constraints involved in this process, so it is also observed that the techniques and tools used to implement the S&OP process does not provide a holistic view of activities and variables involved. Thus, the aim of this work is to develop a simulation model of System Dynamics which provides a holistic vision for the S&OP process, allowing the integration of finance processes and the use of probabilistic variables. The research method used was based on a qualitative and quantitative approach procedure with modeling / simulation. Thus, the aim of the research is to develop a simulation model of System Dynamics to assist the S & OP process. The research method used was based on a qualitative and quantitative approach with modeling / simulation procedure. The simulation model based on the methodology of system dynamics for the S & OP process was developed and analyzed in illustrative cases, performed in two companies with feature make to stock (MTS). Simulations of illustrative cases were conducted by a design of experiment (DOE) to select and evaluate a set of scenarios, determining the best scenario and checking the adequacy with practice of companies. A evaluation of the use and results of simulations in both cases shows that the system dynamics model improves the understanding of the managements on all activities involved in the S&OP process, as well provides a holistic view of all areas involved. The simulations provides compatible plans compared with business practice, with the advantage of dealing with economic and financial analysis simultaneously and allow the generation of numerous scenarios of S&OP plans.
Apesar do processo de S&OP (Sales and Operations Planning) não ser uma prática nova nas empresas, principalmente naquelas de grande porte, ele ainda carece de estudos nas suas práticas e ferramentas computacionais de apoio. Isso decorre por ser um processo complexo onde a maioria dos representantes gerenciais das funções organizacionais participa da sua execução, com cada um tentando contribuir para definir um planejamento coordenado de ações para um período de curto, médio e longo prazo. Modelos e ferramentas computacionais focadas para o auxílio no processo de S&OP são utilizadas e podem contribuir para a melhoria da qualidade da sua execução e dos seus resultados. As ferramentas mais comuns são aquelas baseadas em planilhas eletrônicas, cujo conteúdo é gerado por meio do conhecimento especializado dos tomadores de decisão, e as mais sofisticadas, são baseadas em técnicas de pesquisa operacional inseridas em sistemas APS (Advanced Planning Systems), cujos modelos analíticos procuram gerar planos otimizados. A partir da revisão bibliográfica realizada sobre as técnicas computacionais usadas para o auxílio do processo S&OP, foi identificada a ausência de estudos relacionados ao uso de Dinâmica de Sistemas. Adicionalmente, a revisão aponta a necessidade de estudos relacionados à integração de análise econômica e financeira durante a elaboração dos planos agregados e o uso de variáveis probabilísticas no processo que possibilitem a análise estatística no sentido de fornecer planos mais confiáveis. Outra questão relevante observada é que os gestores que participam do processo S&OP nem sempre tem uma visão global de todas variáveis e restrições envolvidas neste processo, assim observa-se também que as técnicas e ferramentas utilizadas para execução do processo de S&OP não oferecem uma visão holística das atividades e variáveis envolvidas. Com isso, o objetivo da pesquisa é desenvolver um modelo de Simulação de Dinâmica de Sistemas que proporcione uma visão holística para o processo de S&OP e que permita a integração com os processos da área financeira e o uso de variáveis probabilísticas. O método de pesquisa utilizado foi baseado em uma abordagem qualitativa e quantitativa com procedimento modelagem/simulação. O modelo de simulação baseado na metodologia da dinâmica de sistemas para o processo de S&OP foi elaborado e analisado em casos ilustrativos, realizados em duas empresas com característica de produção para estoque (MTS). As simulações dos casos ilustrativos foram conduzidas por um projeto de experimento (DOE) para selecionar e avaliar um conjunto de cenários, determinando o melhor cenário e verificando a adequação com a prática das empresas. A avaliação do uso e dos resultados das simulações realizadas nos dois casos aponta que o modelo de dinâmica de sistemas melhora a compreensão dos gestores sobre todas as atividades envolvidas no processo de S&OP, como também fornece uma visão holística de todas as áreas envolvidas. A simulação gera planos compatíveis comparados com a prática empresarial, com a vantagem de tratar a análise econômica e financeira simultaneamente e possibilitar a geração de inúmeros cenários de planos de S&OP.
Brinkschulte, Lars, Marina Graf, and Marcus Geimer. "Reinforcement learning: a control approach for reducing component damage in mobile machines." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71113.
Full textOesterle, Jonathan. "Holistic approach to designing hybrid assembly lines A comparative study of Multi-Objective Algorithms for the Assembly Line Balancing and Equipment Selection Problem under consideration of Product Design Alternatives Evaluation of the influence of dominance rules for the assembly line design problem under consideration of product design alternatives Hybrid Multi-objective Optimization Method for Solving Simultaneously the line Balancing, Equipment and Buffer Sizing Problems for Hybrid Assembly Systems Comparison of Multiobjective Algorithms for the Assembly Line Balancing Design Problem Efficient multi-objective optimization method for the mixed-model-line assembly line design problem Detaillierungsgrad von Simulationsmodellen Rechnergestützte Austaktung einer Mixed-Model Line. Der Weg zur optimalen Austaktung." Thesis, Troyes, 2017. http://www.theses.fr/2017TROY0012.
Full textThe work presented in this thesis concerns the formulation and the resolution of two holistic multi-objective optimization problems associated with the selection of the best product and hybrid assembly line configuration out of a set of products, processes and resources alternatives. Regarding the first problem, a cost model was developed in order to translate the complex interdependencies between the selection of specific product designs, processes and resources characteristics. An empirical study is proposed, which aimed at comparing, according to several multi-objective quality indicators, various resolution methods – including variants of evolutionary algorithms, ant colony optimization, particle swarm optimization, bat algorithms, cuckoo search algorithms, and flower-pollination algorithms. Several dominance rules and a problem-specific local search were applied to the most promising resolution methods. Regarding the second problem, which also considers the buffer sizing, the developed algorithms were enhanced with a genetic discrete-event simulation model, whose primary function is to evaluate the value of the various objective functions. The demonstration of the associated resolution frameworks for both problems was validated through two industrial-cases
Carlström, Malin. "Design for Human Behaviour and Automation : Development and Evaluation of a Holistic Warning Approach." Thesis, KTH, Ergonomi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-141551.
Full textEtt människocentrerat förhållningsätt vid utveckling av nya stödsystem i fordon möjliggör för förare att ta säkra beslut i övergången mellan manuell kontroll och automation. Men noggranna överväganden måste tas. Inte bara systemets utförande i form av gränssnittet är av stor vikt, utan även vilken typ av aktivitet som stöds. Syftet med denna studie var att identifiera en lämplig aktivitet att stödja lastbilsförares kognitiva processer, utveckla ett gränssitt för denna aktivitet och utvärdera gränssnittet i en körsituation. Detta utfördes i tre substudier: Förstudien, Designstudien samt Utvärderingsstudien. Förstudiens syfte var att undersöka för vilken typ av körrelaterad aktivitet distributions- och långtransportförare behövde ett förarstöd och gränssitt. Detta undersöktes med bidrag från lastbilsförare, HMI/Ergonomi experter samt ingenjörer. Den valda aktiviteten blev upptäcka objekt framför och kring lastbilen. Dock ändrades den valda aktiviteten på grund av begräsningar i simulatorn. Förslaget från Scanias Ergonomigrupp för förarhytten blev ett Holistiskt system istället; en gränssnittsstrategi som möjliggör att fler tekniker och system att inkluderas i samma gränssnitt, vilket minskar antalet modaliteter en förare kan bli utsatt för. Designstudien behandlar syftet beträffande utformningen av gränssnittet för det holistiska systemet med avseende på lastbilsförares kognitiva belastning. En LED-prototyp byggdes, denna löpte längs med fönsterkanten i förarhytten på Scanias Ergonomigrupps simulator, för att skapa varningssignals-koncept. Resultat från litertur, LED-prototypen och simulatorn användes i en iterativ process för att utveckla och förbättra varningssignalerna. Det holistiska systemet informerar om faror runt fordonet genom att tända ljus i det område riskfyllda objekt upptäckts för att leda förarens uppmärksamhet och detta görs med något av de två utvecklade koncepten: 1) det informativa varningskonceptet eller 2) det riktningsgivande konceptet. Det informativa konceptet förmedlar information om farans placering och typ, medan det riktningsgivande varningskonceptet enbart förmedlar information om farans placering. Utvärderingsstudien utforskade hur förare påverkades av och hur de upplevde det holistiska gränssnittet med avseende på mentalbelastning och upptäckten av faror. Ett användartest i en simulatorutvecklades för att samla in data inom områdena Upptäckt av faror, Mentalbelastning, Körförmåga samt Subjektiv uppfattning. Fjorton professionella förare bedömde tre tillstånd: 1) Baslinje (körning utan ett system), 2) det informativa varningskonceptet och 3) det riktningsgivande varningskonceptet, medan de blev utsatta för potentiella faror. För att öka den mentala belastningen utfördes en sekundäruppgift vid slutet av varje tillstånd. Resultaten visade att det Informativa varningskonceptet inte enbart resulterade i fler upptäckta faror, tillfällen då förare reagerade på en närvarande fara, utan även signifikant minskade reaktionstider att upptäcka faror. Däremot föredrogs båda koncepten i samma utsträckning med avseende på acceptans. Då det informativa varningskonceptet visades sig mest effektivt gällande upptäckten av faror borde denna undersökas vidare. Ett holistiskt gränssitt möjliggör för fler system att inkluderas i samma gränssitt och minskar mängden alarm och modaliteter som en förare kan utsättas för om det designas skickligt. Om ett holistiskt gränssnitt tillämpas kan därmed fler stödsystem innefattas i framtida fordon utan att orsaka oönskad distraktion.
Dudek, Manuel [Verfasser]. "Towards Future Automotive Safety Applications based on Phased-Array FMCW-Radar Sensors - a Holistic Simulative Approach Incorporating RF-Frontend Impairments / Manuel Dudek." München : Verlag Dr. Hut, 2015. http://d-nb.info/1077403887/34.
Full textAlves, João Marinho. "A holistic order allocation strategy for profitability maximization: a simulation study." Dissertação, 2002. https://repositorio-aberto.up.pt/handle/10216/113570.
Full textAlves, João Marinho. "A holistic order allocation strategy for profitability maximization: a simulation study." Dissertação, 2018. https://hdl.handle.net/10216/113570.
Full textAlves, João Marinho. "A holistic order allocation strategy for profitability maximization: a simulation study." Master's thesis, 2018. https://hdl.handle.net/10216/113570.
Full textGraneß, Henry. "Raupenfahrzeug-Dynamik." Doctoral thesis, 2017. https://tud.qucosa.de/id/qucosa%3A30943.
Full text