On the end-of-life state oriented multi-objective disassembly line balancing problem
Lixia Zhu (),
Zeqiang Zhang (),
Yi Wang () and
Ning Cai ()
Additional contact information
Lixia Zhu: Southwest Jiaotong University
Zeqiang Zhang: Southwest Jiaotong University
Yi Wang: Auburn University at Montgomery
Ning Cai: Southwest Jiaotong University
Journal of Intelligent Manufacturing, 2020, vol. 31, issue 6, No 6, 1403-1428
Abstract:
Abstract The biggest difference between a disassembly line and an assembly line is that there are many uncertainties in structure and quality of the disassembled products in a disassembly line. The disassembly line balancing problem, considering the effect of end-of-life states caused by the uncertainty of the structure or the quality of the disassembled products, is addressed in this paper. A multi-objective mathematical model for the addressed problem is built with three optimization goals: minimizing the number of workstations, minimizing the idle index and minimizing the number of resources. Then a multi-objective hybrid migrating birds optimization algorithm is proposed, which uses a greedy random search operation based on embedding mechanism to generate neighborhood individuals. To avoid the problem of easily being trapped into a local optimum by a basic migrating birds optimization algorithm, a reset mechanism based on simulated annealing operation is set up to accept other solutions with a certain probability, so that the algorithm can escape out of a local optimum. By solving disassembly examples of different scales in the literature and comparing with the existing algorithms, the effectiveness and superiority of the proposed multi-objective hybrid migrating birds optimization algorithm is validated. Finally, the proposed model and algorithm are applied to solving two disassembly instances, and the solving results are compared with the single-objective optimal solution solved by LINGO 11.0 solver and the basic migrating birds optimization algorithm to further identify the performance of the proposed algorithm.
Keywords: End-of-life states; Disassembly line balancing problem; Multi-objective optimization; Hybrid migrating birds optimization (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (6)
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DOI: 10.1007/s10845-019-01519-3
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