지원사업
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.
이용수
초록· 키워드
오류제보하기
Advanced planning and scheduling (APS) refers to a manufacturing management process by which raw materials and production capacity are optimally allocated to meet demand. APS is especially well-suited to environments where simpler planning methods cannot adequately address complex trade-offs between competing priorities.
However, most scheduling problems of APS in the real world face both inevitable constraints such as due date, capability, transportation cost, set up cost and available resources.
In this survey paper, we address three crucial issues in APS, including basic scheduling model, job-shop scheduling (JSP), assembly line balancing (ALB) model, and integrated scheduling models for manufacturing and logistics.
Several evolutionary algorithms which adapt to the problems are surveyed and proposed; some test instances based on the practical problems demonstrate the effectiveness and efficiency of evolutionary approaches.
However, most scheduling problems of APS in the real world face both inevitable constraints such as due date, capability, transportation cost, set up cost and available resources.
In this survey paper, we address three crucial issues in APS, including basic scheduling model, job-shop scheduling (JSP), assembly line balancing (ALB) model, and integrated scheduling models for manufacturing and logistics.
Several evolutionary algorithms which adapt to the problems are surveyed and proposed; some test instances based on the practical problems demonstrate the effectiveness and efficiency of evolutionary approaches.
목차
1. Introduction
2. Job-Shop Scheduling Model
3. Assembly Line Balancing Model
4. Manufacturing and Logistics Model
5. Conclusions
References
참고문헌 (115)
참고문헌 신청
1. [학술지(정기간행물)] - Adams, J. / 1987 / The shifting bottleneck procedure for job shop scheduling / International Journal of Flexible Manufacturing Systems 34 (3) : 391 ~ 401
2. [학술지(정기간행물)] - Altiparmak, F. / 2007 / A steady-state genetic algorithm for multi-product supply chain network design / Computers and Industrial Engineering
3. [학술지(정기간행물)] - Altiparmak, F. / 2006 / A genetic algorithm approach for multiobjective optimization of supply chain networks / Computers and Industrial Engineering 51 (1) : 197 ~ 216
4. [학술지(정기간행물)] - Amiri, A. / 2004 / Designing a distribution network in a supply chain system : formulation and efficient solution procedure / European Journal of Operational Research 171 (2) : 567 ~ 576
5. [학술지(정기간행물)] - Anderson, E. J. / 1994 / Genetic algorithms for combinatorial optimization : the assembly line balancing problem / ORSA Journal on Computing 6 : 161 ~ 173
2. [학술지(정기간행물)] - Altiparmak, F. / 2007 / A steady-state genetic algorithm for multi-product supply chain network design / Computers and Industrial Engineering
3. [학술지(정기간행물)] - Altiparmak, F. / 2006 / A genetic algorithm approach for multiobjective optimization of supply chain networks / Computers and Industrial Engineering 51 (1) : 197 ~ 216
4. [학술지(정기간행물)] - Amiri, A. / 2004 / Designing a distribution network in a supply chain system : formulation and efficient solution procedure / European Journal of Operational Research 171 (2) : 567 ~ 576
5. [학술지(정기간행물)] - Anderson, E. J. / 1994 / Genetic algorithms for combinatorial optimization : the assembly line balancing problem / ORSA Journal on Computing 6 : 161 ~ 173
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UCI(KEPA) : I410-ECN-0101-2013-530-003637783