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Integrating disassembly line balancing in the planning of a reverse logistics network from the perspective of a third party provider

Author

Listed:
  • Devika Kannan

    (University of Southern Denmark)

  • Kiran Garg

    (University of Delhi)

  • P. C. Jha

    (University of Delhi)

  • Ali Diabat

    (Masdar Institute of Science and Technology)

Abstract

The increasing pressure due to legislation and various public policies has prompted manufacturers to seriously take into consideration the impact of electronic waste. To overcome this challenge, several manufacturers have incorporated reverse logistics into their business lines. Due to a lack of resources and/or managerial expertise, several companies choose to outsource product recovery activities to third parties. The growing demand has given rise to the number of third party logistics providers, who are assigned the task of efficiently and cost effectively achieving product recovery. The work of the 3PRL’s commences with the collection of returned products from various companies to retrieve maximum value harvested in the form of reusable products, components and materials. Thus, a 3PRLP needs to establish a recovery process able to effectively retrieve value from various types of product. To deal with multiple types of products, the recovery network needs to work with a balanced disassembly line. Thus in this paper we proposes a cost effective reverse logistics network from the perspective of the third party, which integrates the disassembly line balancing in the planning recovery network. This study develops a mixed integer non-linear programming problem for the same. The model is validated using various products from the liquid crystal displays industry.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:annopr:v:253:y:2017:i:1:d:10.1007_s10479-016-2272-7
    DOI: 10.1007/s10479-016-2272-7
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    References listed on IDEAS

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    Cited by:

    1. Junyong Liang & Shunsheng Guo & Yunfei Zhang & Wenfang Liu & Shengwen Zhou, 2021. "Energy-Efficient Optimization of Two-Sided Disassembly Line Balance Considering Parallel Operation and Uncertain Using Multiobjective Flatworm Algorithm," Sustainability, MDPI, vol. 13(6), pages 1-23, March.
    2. Hao Guo & Congdong Li & Ying Zhang & Chunnan Zhang & Mengmeng Lu, 2018. "A Location-Inventory Problem in a Closed-Loop Supply Chain with Secondary Market Consideration," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
    3. Hao Guo & Ying Zhang & Chunnan Zhang & Yu Liu & Yuan Zhou, 2020. "Location-inventory decisions for closed-loop supply chain management in the presence of the secondary market," Annals of Operations Research, Springer, vol. 291(1), pages 361-386, August.
    4. Jagannath Roy & Dragan Pamučar & Samarjit Kar, 2020. "Evaluation and selection of third party logistics provider under sustainability perspectives: an interval valued fuzzy-rough approach," Annals of Operations Research, Springer, vol. 293(2), pages 669-714, October.
    5. 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).
    6. 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).
    7. Jia Mao & Jinyuan Cheng & Xiangyu Li & Honggang Zhao & Dexin Yu, 2023. "Simulation of Low Carbon Layout Optimization of Disassembly Line Based on SLP Method," Sustainability, MDPI, vol. 15(6), pages 1-26, March.
    8. 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.
    9. 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).
    10. 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).
    11. Rui Li & Xin Chen, 2022. "Reverse Logistics Network Design under Disruption Risk for Third-Party Logistics Providers," Sustainability, MDPI, vol. 14(22), pages 1-24, November.

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