LAUSR

Abstract The recycling and dismantling of obsolete products is one of the frontier issues in the field of green remanufacturing. From the research status in this field, most scholars only use intelligent algorithms to optimize the disassembly sequence, and rarely evaluate the performance of obsolete products. On the basis of summarizing the existing research, this paper establishes a comprehensive disassembly evaluation model based on the fruit fly algorithm, crossover efficiency and extension-gray correlation degree. Firstly, a set of Pareto solutions is obtained by IFOA, and the group of 12 disassembly schemes is used as the decision-making unit (DMU) of the DEA. The average DQ of the 12 disassembly schemes was 5.4, the average EB was 387 CNY, and the average PDR was 83%. Then, the final cross-efficiency model is obtained by improving the traditional average cross-efficiency method. It is evaluated the performance of the comprehensive indicators of the disassembly plan in terms of time, economy and environment, and obtained their respective rankings. After the normalization process calculated, DMU4 (0.0714) has a relatively higher ultimate weight than DMU10 (0.0581). The analysis results show that the disassembly scheme evaluation result is the best overall performance of N4. Finally, the same case is used to execute three optimization algorithms. The results show that IFOA has better optimization and sensitivity than the other two algorithms.