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Optimization of Job Shop Scheduling with Material Handling by Automated Guided Vehicle
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Optimization of Job Shop Scheduling with Material Handling by Automated Guided Vehicle. |
| 개인저자 | Huang, Shiyang. |
| 단체저자명 | Iowa State University. Industrial and Manufacturing Systems Engineering. |
| 발행사항 | [S.l.]: Iowa State University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 92 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-02B(E). Dissertation Abstract International |
| ISBN | 9780438414020 |
| 학위논문주기 | Thesis (Ph.D.)--Iowa State University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Adviser: Guiping Hu. |
| 요약 | 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 |
| 요약 | 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 |
| 요약 | 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 |
| 요약 | 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 |
| 일반주제명 | Industrial engineering. Operations research. |
| 언어 | 영어 |
| 바로가기 | 
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