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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.6
- 수록면
- 157 - 172 (16page)
- DOI
- 10.7232/JKIIE.2024.50.3.157
이용수
이 논문의 연구 히스토리 (3)
2023
Capacity Scalability Planning Algorithms for Job-shop-type Reconfigurable Manufacturing Systems with Dynamic Demands
Xuebin Li
,
Hyeon-Il Kim
,
Seung-Hyun Lee
외 1명
한국경영과학회 학술대회논문집
2023.05
학술대회자료
Capacity Scalability Planning Algorithms for Job-shop-type Reconfigurable Manufacturing Systems with Dynamic Demands
Xuebin Li
,
Hyeon-Il Kim
,
Seung-Hyun Lee
외 1명
대한산업공학회 춘계공동학술대회 논문집
2023.05
학술대회자료
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초록· 키워드
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This study addresses dynamic capacity scalability planning for job-shop-type reconfigurable manufacturing systems (RMSs). The problem is to determine the system components that satisfies the part demands and the minimum workstation utilization in each period of a planning horizon. For the basic case of non-decreasing demands, the previous model is extended by considering a limited number of pallets. After formulating the problem that minimizes the sum of component acquisition and configuration change costs as a nonlinear integer programming model with closed queueing network estimations of part throughputs and workstation utilizations, two backward heuristics are proposed that determine the system components from the last to the first period. Computational results show that they outperform the previous ones significantly. In addition, for the general case of fluctuating demands, two variable neighborhood search (VNS) algorithms are proposed that minimize the sum of component acquisition/removal and configuration change costs, and computational results are reported.
목차
1. Introduction
2. Basic case
3. General Case
4. Concluding Remarks
References
참고문헌 (34)
참고문헌 신청
Albus, M. and Huber, M. F. (2023), Resource Reconfiguration and Optimization in Brownfield Constrained Robotic Assembly Line Balancing Problem, Journal of Manufacturing Systems, 67, 132-142.
Albus, M., Hornek, T., Kraus, W., and Huber, M. F. (2024), Towards Scalability for Resource Reconfiguration in Robotic Assembly Line Balancing Problem using aModified Genetic Algorithm, Journal of Intelligent Manufacturing, DOI: 10.1007/s10845-023-02292-0.
Andersen, A. L., Brunoe, T. D., Nielsen, K., and Rösiö, C. (2017), Towards a Generic Design Method for Reconfigurable Manufacturing Systems: Analysis and Synthesis of Current Design Methods and Evaluation of Supportive Tools, Journal of Manufacturing Systems, 42, 179-195.
Ashraf, M. and Hasan, F. (2018), Configuration Selection for a Reconfigurable Manufacturing Flow Line Involving Part Production with Operation Constraints, The International Journal of Advanced Manufacturing Technology, 98(5), 2137-2156.
Bortolini, M., Galizia, F. G., and Mora, C. (2018), Reconfigurable Manufacturing Systems: Literature Review and Research Trend, Journal of Manufacturing Systems, 49, 93-106.
Albus, M., Hornek, T., Kraus, W., and Huber, M. F. (2024), Towards Scalability for Resource Reconfiguration in Robotic Assembly Line Balancing Problem using aModified Genetic Algorithm, Journal of Intelligent Manufacturing, DOI: 10.1007/s10845-023-02292-0.
Andersen, A. L., Brunoe, T. D., Nielsen, K., and Rösiö, C. (2017), Towards a Generic Design Method for Reconfigurable Manufacturing Systems: Analysis and Synthesis of Current Design Methods and Evaluation of Supportive Tools, Journal of Manufacturing Systems, 42, 179-195.
Ashraf, M. and Hasan, F. (2018), Configuration Selection for a Reconfigurable Manufacturing Flow Line Involving Part Production with Operation Constraints, The International Journal of Advanced Manufacturing Technology, 98(5), 2137-2156.
Bortolini, M., Galizia, F. G., and Mora, C. (2018), Reconfigurable Manufacturing Systems: Literature Review and Research Trend, Journal of Manufacturing Systems, 49, 93-106.
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