期刊
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 50, 期 15, 页码 4326-4343出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2011.622310
关键词
imperialist competitive algorithm; integrated process planning and scheduling; scheduling
资金
- National High-Tech Research and Development Program of China 863 Program [2007AA04Z107]
- State Key Program of National Natural Science of China [51035001]
Effective performance of modern manufacturing systems requires integrating process planning and scheduling more tightly, which is consistently challenged by the intrinsic interrelation and intractability of these two problems. Traditionally, these two problems are treated sequentially or separately. Integration of process planning and scheduling (IPPS) provides a valuable approach to improve system performance. However, IPPS is more complex than job shop scheduling or process planning. IPPS is strongly NP-hard in that, compared to an NP-hard job shop scheduling problem with a determined process plan, the process plan for each job in IPPS is also to be optimised. So, an imperialist competitive algorithm (ICA) is proposed to address the IPPS problem with an objective of makespan minimisation. An extended operation-based representation scheme is presented to include information on various flexibilities of process planning with respect to determined job shop scheduling. The main steps of the proposed ICA, including empires construction, assimilation, imperialistic competition, revolution and elimination, are elaborated using an illustrative example. Performance of the proposed ICA was evaluated on four sets of experiments taken from the literature. Computational results of the ICA were compared with that of some existing algorithms developed for IPPS, which validates the efficiency and effectiveness of the ICA in solving the IPPS problem.
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