Dynamic lot-sizing for remanufacturing systems with multi-level structured products and components commonality
- Authors
- Doh, Hyoung-Ho; Lee, Dong-Ho
- Issue Date
- Jan-2024
- Publisher
- Elsevier Inc.
- Keywords
- Components commonality; Dynamic lot-sizing; Heuristics; Mixed integer program; Multi-level product structure; Remanufacturing
- Citation
- Applied Mathematical Modelling, v.125, pp.789 - 808
- Indexed
- SCOPUS
- Journal Title
- Applied Mathematical Modelling
- Volume
- 125
- Start Page
- 789
- End Page
- 808
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/192220
- DOI
- 10.1016/j.apm.2023.09.020
- ISSN
- 0307-904X
- Abstract
- This study addresses dynamic lot-sizing for remanufacturing systems in which end-of-use/life products are disassembled into their components on a disassembly workstation, each recoverable part is reprocessed on one of parallel reprocessing workstations and the reprocessed and newly purchased ones, if required, are reassembled into remanufactured products on a reassembly workstation. The problem is to determine disassembly, reprocessing, reassembly lot-sizes as well as the reprocessing workstation to reprocess each recoverable part while satisfying dynamic remanufactured product demands and workstation capacities in each period of a planning horizon. As an extension of the previous studies, multi-level structured products with components commonality are considered for the objective of minimizing the sum of setup, operation and inventory costs. A mixed integer programming model is developed, and due to the problem complexity, two types of heuristics are proposed that obtain an initial solution using a greedy-type heuristic and improve it by two types of bi-directional moves with various priority rules for forward and backward moves, i.e. individual-moves and cluster-moves. Computational results show that the cluster-move based approach that considers components commonality explicitly outperforms the individual-move based one significantly and gave fast near optimal solutions for small sized test instances. Finally, a sensitivity analysis on different multi-level product structures were done and the results are reported.
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