Abstract
Aiming at the joint optimisation problem of uncertain distributed manufacturing and preventive maintenance (PM) for semiconductor wafers considering multi-energy complementary (UDMPM-MEC), a bi-level integrated scheduling model is constructed with interval makespan, total interval carbon emissions and total interval cost as the optimisation objectives. The upper model is used to obtain the joint optimisation scheduling scheme of distributed manufacturing and PM, and the lower model determines the energy allocation scheme on this basis. Given the problem characteristics, we propose an improved multi-objective whale swarm algorithm (IMOWSA). By designing jobs-to-factories allocation strategy, synchronous scheduling maintenance strategy, multi-energy complementary energy allocation decoding strategy, individual distance calculation strategy, multi-neighbourhood search strategy and deduplication strategy, the local and global search are effectively balanced, and the convergence precision is improved. A large number of simulation experiments and comparative analyses show that the IMOWSA algorithm is feasible and effective to solve this problem.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Data availability statement
The data used to support the findings of this study are included within the paper, see ‘Table . The main parameters and their values in the data set’ for details.
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Notes on contributors
Jun Dong
Dong Jun is Lecturer of Industrial Engineering Teaching and Research Section of Henan Institute of Technology. Graduated from Shanghai University of Science and Technology in September 2021, she mainly engaged in teaching and research on industrial engineering, enterprise production planning and control, production scheduling, green manufacturing, etc.
Chunming Ye
Ye Chunming is Professor, Doctoral Supervisor of Management Science and Engineering in Shanghai University of Science and Technology, Industrial Engineering Expert of Chinese Mechanical Engineering Society and Shanghai Industrial Engineering Society Director, mainly engaged in the teaching and research on industrial engineering, enterprise strategy, enterprise production planning and control, production scheduling, enterprise resource planning (ERP) and supply chain management.