Sequential decision making and simulation-optimization for the design of complex engineering systems

dc.contributor.advisor Cameron A MacKenzie
dc.contributor.author Giahi, Ramin
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.date 2021-01-16T18:20:57.000
dc.date.accessioned 2021-02-25T21:38:20Z
dc.date.available 2021-02-25T21:38:20Z
dc.date.copyright Tue Dec 01 00:00:00 UTC 2020
dc.date.embargo 2021-07-07
dc.date.issued 2020-01-01
dc.description.abstract <p>In this dissertation, we create a novel simulation-based design platform to determine the optimal design of engineered systems. We develop resilient, reliable, and flexible design solutions that account for system uncertainties within the optimization algorithm. The purpose of this dissertation is to study simulation-optimization and sequential decision-making strategies for the design of complex engineering systems. Simulation optimization and sequential decision-making frameworks are developed in order to optimize the design of complex engineering systems in four different studies: designing a resilient wind turbine system for risk-averse decision-makers, improving the reliable design of airfield concrete pavement, incorporating flexibility into the design of a hybrid renewable energy system, and finding the optimal policy for the design of engineering systems using reinforcement learning. In chapter 2, a framework is developed to incorporate risk aversion into a firm’s design decisions for a resilient wind turbine system. In chapter 3, a reliability-based design optimization framework is developed for airfield concrete pavement design. Chapter 4 presents a multi-stage simulation-optimization algorithm for the flexible design of a hybrid renewable energy system. In chapter 5, a new framework is developed to find the optimal policy for the design of engineering systems operating under uncertainty.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/etd/18317/
dc.identifier.articleid 9324
dc.identifier.contextkey 21104743
dc.identifier.doi https://doi.org/10.31274/etd-20210114-52
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath etd/18317
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/94469
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/etd/18317/Giahi_iastate_0097E_19164.pdf|||Fri Jan 14 21:40:18 UTC 2022
dc.subject.keywords Bayesian optimization
dc.subject.keywords Engineering system design
dc.subject.keywords Monte Carlo simulation
dc.subject.keywords Multi-stage decision-making under uncertainty
dc.subject.keywords Simulation optimization
dc.title Sequential decision making and simulation-optimization for the design of complex engineering systems
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1
thesis.degree.discipline Industrial Engineering
thesis.degree.level thesis
thesis.degree.name Doctor of Philosophy
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