Energy-saving Consumption Optimization of End-of-Life Product Disassembly Job Shop Scheduling Problem Based on Performance Loss Graded Evaluation

doi:10.3901/JME.2024.14.396

Abstract

Abstract: In order to optimize the disassembly job shop scheduling problem and energy consumption, considering the influence of uncertain performance loss of end-of-life(EOF) products, a study on the energy-saving optimization of shop scheduling problem is carried out. Firstly, the effect of product performance loss on the energy-saving optimization of disassembly plan and shop scheduling problem is analyzed. The energy consumption composition of the disassembly job shop is analyzed. An energy-saving optimization model of the disassembly job shop scheduling problem is constructed. Secondly, a performance loss graded evaluation methodology is designed to solve the initial process scheme. Then, a variable neighborhood operator is designed to improve the efficiency of solving the improved NSGA-II algorithm. Finally, a case of the EOF automotive battery disassembly job shop is analyzed. Three heuristic algorithms are selected to verify the validity of proposed model and algorithm. The results show that the proposed algorithm has an uniform solution space. So, the efficiency of the proposed algorithm is better than that of comparison algorithm. The maximum completion time (48.4% reduction) and total energy consumption (35% reduction) of the proposed optimized process scheme are better than others.

Key words: end-of-life products, shop scheduling, performance loss, graded evaluation, energy-saving

CLC Number:

TH165

KUANG Zengyu, XIE Hui, REN Yinghui, ZHUO Xiaojun, LIU Yang, YI Luan. Energy-saving Consumption Optimization of End-of-Life Product Disassembly Job Shop Scheduling Problem Based on Performance Loss Graded Evaluation[J]. Journal of Mechanical Engineering, 2024, 60(14): 396-408.

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