Journal
JOURNAL OF CLEANER PRODUCTION
Volume 192, Issue -, Pages 293-305Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2018.04.251
Keywords
Energy efficiency; Multi-objective optimization; Part feeding; Mixed-model assembly line
Categories
Funding
- National Natural Science Foundation of China [71471135]
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Since sustainable scheduling is arousing increasing attention from many manufacturing enterprises and energy consumption is a core problem regarding sustainability, the purpose of this paper is to develop an energy-efficient scheduling method to fulfill material delivery tasks in mixed-model assembly lines. In this research, the objective of minimizing the energy consumption is jointly integrated with the operational criterions when executing material delivery tasks. Owing to the NP-hard nature of the considered problem, a Taboo enhanced Particle Swarm Optimization (TEPSO) algorithm is developed to solve the multi-objective problem. Several improving strategies are applied to enhance the performance of the proposed TEPSO in order to obtain a stronger local search capability and faster search speed. The performance of the proposed TEPSO algorithm is evaluated by comparing with two other high-performing multi-objective optimization methods. Computational experiments are conducted in order to test and verify the effectiveness and efficiency of the proposed TEPSO algorithm. The achievements reported in this paper might be inspiring for further studies on energy-efficient production scheduling. (C) 2018 Elsevier Ltd. All rights reserved.
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