Green Scheduling Optimization in Manufacturing Systems- Application of Intelligent Optimization Algorithms with Symmetry/Asymmetry

Dear Colleagues,

Green (or low-carbon) manufacturing has recently become a hot topic in both academia and industry because of global warming and the greenhouse effect. Among manufacturing systems, shop scheduling plays a key role in saving energy and reducing emissions. Shop scheduling problems in manufacturing systems need to consider both production benefits and environmental objectives, which are symmetrical and equally important. However, these types of problems are difficult to solve using traditional optimization methods, especially as they may have symmetrical characteristics or constraints, and some have asymmetrical conditions which increase the difficulty of solving them. Metaheuristics are effective methods to address such problems. This Special Issue is devoted to collecting new, original results in this field together with applications to real-life situations. Potential topics include but are not limited to intelligent optimization algorithms for sustainable manufacturing or green scheduling in various shops, dynamic shop scheduling, energy-efficient shop scheduling, low-carbon shop scheduling, and optimization problems in semiconductors, iron, automobile, chemical industry, etc.

Dr. Chao Lu
Dr. Biao Zhang
Dr. Jin Yi
Guest Editors

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• intelligent optimization algorithms
• multi-objective
• scheduling
• energy-efficient
• low-carbon
• intelligent manufacturing
• green logistics and supply chain
• surrogate models