Abstract
This study addresses the actual disassembly situation where homogeneous products with similar structures are usually mixed on one disassembly line for disassembly. And the destructive disassembly mode is added to the disassembly process to better match the actual disassembly situation. A mixed integer programming model is established to optimize the disassembly line of mixed homogeneous products with hybrid disassembly mode. The model focuses on the objectives of optimizing the number of workstations, smoothness index, energy consumption, and profit. The disassembly mode is guided by the objective results to execute the final decision to better adapt to real-world disassembly situations. Combining problem characteristics and objective attributes, this study presents an improve discrete flower pollination algorithm. The performance of the proposed algorithm in solving different scale cases is verified by comparing the results of six algorithms for 10-task example, nine algorithms for 25-task example, and four algorithms for 52-task example in the existing literature. In addition, the proposed model and algorithm are applied to a practical refrigerator case. The obtained results are compared with the results of several classical algorithms for solving this case, which further verifies that the proposed algorithm has better performance in solving the practical problem. And the workstation time utilization rate of all schemes is over 98.68%. Finally, the specific allocation of the obtained schemes can provide valuable references for decision-makers.
Published Version
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