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Optimization of Job Shop Scheduling with Material Handling by Automated Guided Vehicle

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개인저자Huang, Shiyang.
단체저자명Iowa State University. Industrial and Manufacturing Systems Engineering.
서명/저자사항Optimization of Job Shop Scheduling with Material Handling by Automated Guided Vehicle.
발행사항[S.l.] : Iowa State University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항92 p.
소장본 주기School code: 0097.
ISBN9780438414020
일반주기 Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Adviser: Guiping Hu.
요약Job Shop Scheduling with Material Handling has attracted increasing attention in both industry and academia, especially with the inception of Industry 4.0 and smart manufacturing. A smart manufacturing system calls for efficient and effective pr
요약In the first study, we discuss a simplified case in which the scheduling problem is reformulated into a vehicle dispatching (assignment) problem. A few AGV dispatching strategies are proposed based on the deterministic optimization of network as
요약In the second study, an efficient heuristic algorithm for classic Job Shop Scheduling with Material Handling is proposed. Typically, the job shop scheduling problem and material handling problem are studied separately due to the complexity of bo
요약In the third study, we take the variability of processing time into consideration in optimizing job shop scheduling with material handling. Variability caused by random effects and deterioration is discussed, and a series of models are developed
일반주제명Industrial engineering.
Operations research.
언어영어
기본자료 저록Dissertation Abstracts International80-02B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14999497

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