Research on Decision-making of Disassembly Process Route for End-of-life Mechanical and Electrical Products under Random Failure and Repair Conditions

doi:10.3901/JME.2024.24.365

Abstract

Abstract: The rational disassembly and recycling of retired mechanical and electrical products not only promotes resource recycling but also helps to reduce environmental pollution and associated risks. Responding to the frequently occurring failure behaviors during the disassembly process of retired mechanical and electrical products, the stochastic failure mechanisms are systematically investigated from the perspective of internal component failures and the execution level of disassembly procedures. This mechanisms are divided into an accurate analysis of the causal relationships between failures among multiple operations and a precise estimation of the conditions probabilities of stochastic failures in individual operation. The decision model of disassembly process route under stochastic failures and repair conditions is established and a hybrid Bayesian network-genetic algorithm is proposed with the aim of obtaining the causal relationships among disassembly operations and the conditional probabilities of stochastic failures in each disassembly operation, efficiently solving the global approximate optimal disassembly process route. Finally, a case study is conducted using end-of-life power batteries to validate the proposed model and algorithm. Through the experimental results, it can be seen that the recycling benefits of the disassembly process routes under failure repair conditions derived from the proposed model and method are significantly better than those of the disassembly process routes under general failure conditions.

Key words: retired mechanical and electrical products, stochastic failure of disassembly operation, bayesian network, failure repair, decision-making of disassembly process route

CLC Number:

TH165

REN Yaping, REN Ying, GUO Hongfei, ZHANG Chaoyong. Research on Decision-making of Disassembly Process Route for End-of-life Mechanical and Electrical Products under Random Failure and Repair Conditions[J]. Journal of Mechanical Engineering, 2024, 60(24): 365-376.

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