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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.20 No.4
- 발행연도
- 2021.12
- 수록면
- 522 - 528 (7page)
- DOI
- 10.7232/iems.2021.20.4.522
이용수
초록· 키워드
오류제보하기
Cell formation and layout design are important steps in the implementation of production systems. Existing models focus mainly on the problem of cell formation and machine layout design and cell location in a dynamic environment, with the exception of a few recent studies. Also, in many existing articles, binary information has been used for cell formation and other information such as production volume, operation sequence and lower production costs have played a role in the structure of existing models. In this paper, a nonlinear programming model under possible dynamic conditions is presented. The objectives of the model include minimizing the total costs of intracellular and intercellular movements of parts, the existence of exceptional parts, intercellular layout of machines, operating costs, fixed costs of machines and the cost of the difference in demand estimated by the model from its expected value. A genetic algorithm is used to solve and the results are compared with the optimal solution.
목차
ABSTRACT
1. INTRODUCTION
2. MODEL PRESENTATION
3. SOLUTION
4. CONCLUSION
REFERENCES
참고문헌 (13)
참고문헌 신청
Alimian, M. / 2020 / New integration of preventive maintenance and production planning with cell formation and group scheduling for dynamic cellular manufacturing systems / Journal of Manufacturing Systems 56:341~358
Bagheri, M. / 2014 / A new mathematical model towards the integration of cell formation with operator assignment and inter-cell layout problems in a dynamic environment / Applied Mathematical Modeling 38(4):1237~1254
Balakrishnan, J. / 2007 / Multi-period planning and uncertainty issues in cellular manufacturing : A review and future directions / European Journal of Operational Research 177(1):281~309
Deep, K. / 2016 / Dynamic cellular manufacturing system design considering alternative routing and part operation tradeoff using simulated annealing based genetic algorithm / Sādhanā 41(9):1063~1079
Aidin Delgoshaei / 2016 / Review of Evolution of Cellular Manufacturing System’s Approaches: Material Transferring Models / International Journal of Precision Engineering and Manufacturing 17(1):131~149
Bagheri, M. / 2014 / A new mathematical model towards the integration of cell formation with operator assignment and inter-cell layout problems in a dynamic environment / Applied Mathematical Modeling 38(4):1237~1254
Balakrishnan, J. / 2007 / Multi-period planning and uncertainty issues in cellular manufacturing : A review and future directions / European Journal of Operational Research 177(1):281~309
Deep, K. / 2016 / Dynamic cellular manufacturing system design considering alternative routing and part operation tradeoff using simulated annealing based genetic algorithm / Sādhanā 41(9):1063~1079
Aidin Delgoshaei / 2016 / Review of Evolution of Cellular Manufacturing System’s Approaches: Material Transferring Models / International Journal of Precision Engineering and Manufacturing 17(1):131~149
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