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020 ▼a 9780438414020
035 ▼a (MiAaPQ)AAI10831104
035 ▼a (MiAaPQ)iastate:17438
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 658
1001 ▼a Huang, Shiyang.
24510 ▼a Optimization of Job Shop Scheduling with Material Handling by Automated Guided Vehicle.
260 ▼a [S.l.] : ▼b Iowa State University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 92 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
500 ▼a Adviser: Guiping Hu.
5021 ▼a Thesis (Ph.D.)--Iowa State University, 2018.
520 ▼a Job 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
520 ▼a In 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
520 ▼a In 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
520 ▼a In 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
590 ▼a School code: 0097.
650 4 ▼a Industrial engineering.
650 4 ▼a Operations research.
690 ▼a 0546
690 ▼a 0796
71020 ▼a Iowa State University. ▼b Industrial and Manufacturing Systems Engineering.
7730 ▼t Dissertation Abstracts International ▼g 80-02B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0097
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999497 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자