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Solution Methods and Bounds for Two-stage Risk-neutral and Multistage Risk-averse Stochastic Mixed-integer Programs with Applications in Energy and Manufacturing

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개인저자Guo, Ge.
단체저자명Iowa State University. Industrial and Manufacturing Systems Engineering.
서명/저자사항Solution Methods and Bounds for Two-stage Risk-neutral and Multistage Risk-averse Stochastic Mixed-integer Programs with Applications in Energy and Manufacturing.
발행사항[S.l.] : Iowa State University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항113 p.
소장본 주기School code: 0097.
ISBN9780438072909
일반주기 Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Adviser: Sarah M. Ryan.
요약This dissertation presents an integrated method for solving stochastic mixed-integer programs, develops a lower bounding approach for multistage risk-averse stochastic mixed-integer programs, and proposes an optimization formulation for mixed-mo
요약It is well known that a stochastic mixed-integer program is difficult to solve due to its non-convexity and stochastic factors. The scenario decomposition algorithms display computational advantage when dealing with a large number of possible re
요약In many applications, the decision makers are risk-averse and are more concerned with large losses in the worst scenarios than with average performance. The PH algorithm can serve as a time-efficient heuristic for risk-averse stochastic mixed-in
요약The existing optimization formulations for MMALS problems do not consider many real-world uncertainty factors such as timely part delivery and material quality. In addition, real-time sequencing decisions are required to deal with inevitable dis
요약Computational studies show that the integration of PH helps DD to reduce the run-time significantly, and the lower bounding approach can obtain convergent and tight lower bounds to help PH evaluate quality of solutions. The PH algorithm and the
일반주제명Industrial engineering.
Operations research.
Statistics.
언어영어
기본자료 저록Dissertation Abstracts International79-11B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997728

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