Abstract
With the continuous consumption of commodities, the number of waste products is also increasing, and its impact on the environment and resources has also attracted great attention. Therefore, the reuse of waste products is one of the ways to solve the problem of increasing waste products at present. In this work, the cycle time constraint of disassembly components is considered in a multi-product partial U-shaped disassembly-line-balancing problem. Moreover, the maximum profit and the minimum idle time are taken as the optimization objectives, and a mathematical model of multi-objective optimization under the cycle time constraints is established. To optimize this problem, an S-metric selection evolutionary multi-objective optimization algorithm (SMS-EMOA) is proposed. The SMS-EMOA is compared with the multi-objective evolutionary algorithm based on decomposition and the indicator-based evolutionary algorithm. The experimental results show the practicability and feasibility of the SMS-EMOA algorithm.
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