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Multi-objective disassembly line balancing and related supply chain management problems under uncertainty: Review and future trends

Author

Listed:
  • He, Junkai
  • Chu, Feng
  • Dolgui, Alexandre
  • Anjos, Miguel F.

Abstract

Disassembly Line Balancing (DLB) is a critical issue in end-of-life product recycling and remanufacturing. DLB-related supply chains exist in many industry sectors, including automobiles, mobile phones, and electronic appliances. In recent years, the interest in multi-objective versions of DLB under certainty has been constantly increasing. However, most existing reviews focus on the specificities of disassembly lines and returned products, and only a few mention the importance of considering integrated DLB-related supply chains. Moreover, to the best of our knowledge, there have been no reviews of multi-objective DLB under uncertainty. This review provides a comprehensive view of DLB by analyzing more than 150 original research and survey articles since 2010. To better analyze these publications, we propose a novel triplet notation integrating the perspectives of problem settings, circumstances, and solution methods. The contributions of this survey include: (i) we classify and review newly published DLB-related integrated issues; (ii) we focus on both multi-objective and uncertainty, which has not been addressed by previous surveys; (iii) we analyze in-depth solution approaches to address multi-objective DLB problems under uncertainty. Based on this systemic analysis, we identify multiple theoretical and practical gaps in the literature and point out promising future research directions.

Suggested Citation

  • He, Junkai & Chu, Feng & Dolgui, Alexandre & Anjos, Miguel F., 2024. "Multi-objective disassembly line balancing and related supply chain management problems under uncertainty: Review and future trends," International Journal of Production Economics, Elsevier, vol. 272(C).
  • Handle: RePEc:eee:proeco:v:272:y:2024:i:c:s0925527324001142
    DOI: 10.1016/j.ijpe.2024.109257
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    References listed on IDEAS

    as
    1. Saidani, Nasreddine & Chu, Feng & Chen, Haoxun, 2012. "Competitive facility location and design with reactions of competitors already in the market," European Journal of Operational Research, Elsevier, vol. 219(1), pages 9-17.
    2. Çil, Zeynel Abidin & Öztop, Hande & Diri Kenger, Zülal & Kizilay, Damla, 2023. "Integrating distributed disassembly line balancing and vehicle routing problem in supply chain: Integer programming, constraint programming, and heuristic algorithms," International Journal of Production Economics, Elsevier, vol. 265(C).
    3. Ming Liu & Zhongzheng Liu & Feng Chu & Feifeng Zheng & Chengbin Chu, 2021. "A new robust dynamic Bayesian network approach for disruption risk assessment under the supply chain ripple effect," International Journal of Production Research, Taylor & Francis Journals, vol. 59(1), pages 265-285, January.
    4. Jianguang Feng & Ada Che, 2023. "A note on integrated disassembly line balancing and routing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 61(9), pages 3144-3150, May.
    5. Fang, Yilin & Liu, Quan & Li, Miqing & Laili, Yuanjun & Pham, Duc Truong, 2019. "Evolutionary many-objective optimization for mixed-model disassembly line balancing with multi-robotic workstations," European Journal of Operational Research, Elsevier, vol. 276(1), pages 160-174.
    6. Mehmet Ali Ilgin & Hakan Akçay & Ceyhun Araz, 2017. "Disassembly line balancing using linear physical programming," International Journal of Production Research, Taylor & Francis Journals, vol. 55(20), pages 6108-6119, October.
    7. Jun Guo & Zhipeng Pu & Baigang Du & Yibing Li, 2022. "Multi-objective optimisation of stochastic hybrid production line balancing including assembly and disassembly tasks," International Journal of Production Research, Taylor & Francis Journals, vol. 60(9), pages 2884-2900, May.
    8. Bao Chao & Peng Liang & Chaoyong Zhang & Hongfei Guo, 2023. "Multi-Objective Optimization for Mixed-Model Two-Sided Disassembly Line Balancing Problem Considering Partial Destructive Mode," Mathematics, MDPI, vol. 11(6), pages 1-17, March.
    9. Süleyman Mete & Faruk Serin & Zeynel Abidin Çil & Erkan Çelik & Eren Özceylan, 2023. "A comparative analysis of meta-heuristic methods on disassembly line balancing problem with stochastic time," Annals of Operations Research, Springer, vol. 321(1), pages 371-408, February.
    10. Habibi, M.K. Khakim & Battaïa, Olga & Cung, Van-Dat & Dolgui, Alexandre, 2017. "Collection-disassembly problem in reverse supply chain," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 334-344.
    11. Zülal Diri Kenger & Çağrı Koç & Eren Özceylan, 2020. "Integrated disassembly line balancing and routing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 58(23), pages 7250-7268, December.
    12. Jia Liu & Shuwei Wang, 2017. "Balancing Disassembly Line in Product Recovery to Promote the Coordinated Development of Economy and Environment," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
    13. Kirchherr, Julian & Reike, Denise & Hekkert, Marko, 2017. "Conceptualizing the circular economy: An analysis of 114 definitions," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 221-232.
    14. Junkai He & Feng Chu & Feifeng Zheng & Ming Liu & Chengbin Chu, 2020. "A multi-objective distribution-free model and method for stochastic disassembly line balancing problem," International Journal of Production Research, Taylor & Francis Journals, vol. 58(18), pages 5721-5737, September.
    15. Abdolmajid Yolmeh & Ullah Saif, 2021. "Closed-loop supply chain network design integrated with assembly and disassembly line balancing under uncertainty: an enhanced decomposition approach," International Journal of Production Research, Taylor & Francis Journals, vol. 59(9), pages 2690-2707, May.
    16. Devika Kannan & Kiran Garg & P. C. Jha & Ali Diabat, 2017. "Integrating disassembly line balancing in the planning of a reverse logistics network from the perspective of a third party provider," Annals of Operations Research, Springer, vol. 253(1), pages 353-376, June.
    17. Peng Hu & Feng Chu & Yunfei Fang & Peng Wu, 2022. "Novel distribution-free model and method for stochastic disassembly line balancing with limited distributional information," Journal of Combinatorial Optimization, Springer, vol. 43(5), pages 1423-1446, July.
    18. Xin Liu & Feng Chu & Feifeng Zheng & Chengbin Chu & Ming Liu, 2022. "Distributionally robust and risk-averse optimisation for the stochastic multi-product disassembly line balancing problem with workforce assignment," International Journal of Production Research, Taylor & Francis Journals, vol. 60(6), pages 1973-1991, March.
    19. Yusha Zhou & Xiuping Guo & Dong Li, 2022. "A dynamic programming approach to a multi-objective disassembly line balancing problem," Annals of Operations Research, Springer, vol. 311(2), pages 921-944, April.
    20. Feifeng Zheng & Junkai He & Feng Chu & Ming Liu, 2018. "A new distribution-free model for disassembly line balancing problem with stochastic task processing times," International Journal of Production Research, Taylor & Francis Journals, vol. 56(24), pages 7341-7353, December.
    21. Mohand Lounes Bentaha & Olga Battaïa & Alexandre Dolgui, 2015. "An exact solution approach for disassembly line balancing problem under uncertainty of the task processing times," International Journal of Production Research, Taylor & Francis Journals, vol. 53(6), pages 1807-1818, March.
    22. Hongfei Guo & Linsheng Zhang & Yaping Ren & Yun Li & Zhongwei Zhou & Jianzhao Wu, 2023. "Optimizing a stochastic disassembly line balancing problem with task failure via a hybrid variable neighborhood descent-artificial bee colony algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 61(7), pages 2307-2321, April.
    23. F. Tevhide Altekin, 2017. "A comparison of piecewise linear programming formulations for stochastic disassembly line balancing," International Journal of Production Research, Taylor & Francis Journals, vol. 55(24), pages 7412-7434, December.
    24. Gongdan Xu & Zhiwei Zhang & Zhiwu Li & Xiwang Guo & Liang Qi & Xianzhao Liu, 2023. "Multi-Objective Discrete Brainstorming Optimizer to Solve the Stochastic Multiple-Product Robotic Disassembly Line Balancing Problem Subject to Disassembly Failures," Mathematics, MDPI, vol. 11(6), pages 1-22, March.
    25. Battaïa, Olga & Dolgui, Alexandre, 2013. "A taxonomy of line balancing problems and their solutionapproaches," International Journal of Production Economics, Elsevier, vol. 142(2), pages 259-277.
    26. Ming Liu & Xin Liu & Feng Chu & Feifeng Zheng & Chengbin Chu, 2020. "Robust disassembly line balancing with ambiguous task processing times," International Journal of Production Research, Taylor & Francis Journals, vol. 58(19), pages 5806-5835, October.
    27. Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).
    28. Junkai He & Feng Chu & Feifeng Zheng & Ming Liu, 2021. "A green-oriented bi-objective disassembly line balancing problem with stochastic task processing times," Annals of Operations Research, Springer, vol. 296(1), pages 71-93, January.
    29. Diri Kenger, Zülal & Koç, Çağrı & Özceylan, Eren, 2021. "Integrated disassembly line balancing and routing problem with mobile additive manufacturing," International Journal of Production Economics, Elsevier, vol. 235(C).
    30. Liu, Ming & Liu, Zhongzheng & Chu, Feng & Dolgui, Alexandre & Chu, Chengbin & Zheng, Feifeng, 2022. "An optimization approach for multi-echelon supply chain viability with disruption risk minimization," Omega, Elsevier, vol. 112(C).
    31. Qinxin Xiao & Xiuping Guo & Dong Li, 2021. "Partial disassembly line balancing under uncertainty: robust optimisation models and an improved migrating birds optimisation algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 59(10), pages 2977-2995, May.
    32. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    33. S. K. Ong & M. M. L. Chang & A. Y. C. Nee, 2021. "Product disassembly sequence planning: state-of-the-art, challenges, opportunities and future directions," International Journal of Production Research, Taylor & Francis Journals, vol. 59(11), pages 3493-3508, June.
    34. Bentaha, Mohand Lounes & Battaïa, Olga & Dolgui, Alexandre & Hu, S. Jack, 2015. "Second order conic approximation for disassembly line design with joint probabilistic constraints," European Journal of Operational Research, Elsevier, vol. 247(3), pages 957-967.
    35. Junkai He & Feng Chu & Alexandre Dolgui & Feifeng Zheng & Ming Liu, 2022. "Integrated stochastic disassembly line balancing and planning problem with machine specificity," International Journal of Production Research, Taylor & Francis Journals, vol. 60(5), pages 1688-1708, March.
    36. Eda Goksoy Kalaycilar & Sakine Batun & Meral Azizoğlu, 2022. "A stochastic programming approach for the disassembly line balancing with hazardous task failures," International Journal of Production Research, Taylor & Francis Journals, vol. 60(10), pages 3237-3262, May.
    37. Lixia Zhu & Zeqiang Zhang & Yi Wang & Ning Cai, 2020. "On the end-of-life state oriented multi-objective disassembly line balancing problem," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1403-1428, August.
    38. Lixia Zhu & Zeqiang Zhang & Yi Wang, 2018. "A Pareto firefly algorithm for multi-objective disassembly line balancing problems with hazard evaluation," International Journal of Production Research, Taylor & Francis Journals, vol. 56(24), pages 7354-7374, December.
    39. Xuhui Xia & Wei Liu & Zelin Zhang & Lei Wang & Jianhua Cao & Xiang Liu, 2019. "A Balancing Method of Mixed-model Disassembly Line in Random Working Environment," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
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