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A two-stage heuristic for disassembly scheduling with assembly product structure

Author

Listed:
  • D-H Lee

    (Hanyang University)

  • P Xirouchakis

    (Swiss Federal Institute of Technology (EPFL))

Abstract

Disassembly scheduling, one of the important operational problems in disassembly systems, is the problem of determining the ordering and disassembly schedules of used or end-of-life products while satisfying the demand of their parts or components over a certain planning horizon. This paper considers products with assembly structure for the objective of minimizing the sum of purchase, set up, inventory holding, and disassembly operation costs, and suggests a two-stage heuristic, in which an initial solution is obtained in the form of the minimal latest ordering and disassembly schedule, and then improved iteratively considering trade-offs among different cost factors. To show the performance of the heuristic, computational experiments were done on the example obtained from the literature and a number of randomly generated test problems, and the results show that the heuristic can give optimal or very near-optimal solutions within very short computation times.

Suggested Citation

  • D-H Lee & P Xirouchakis, 2004. "A two-stage heuristic for disassembly scheduling with assembly product structure," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(3), pages 287-297, March.
    • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:3:d:10.1057_palgrave.jors.2601690
    DOI: 10.1057/palgrave.jors.2601690
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    References listed on IDEAS

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    1. Kumar, Narendra & Vrat, Prem & Sushil, 1994. "A simulation study of unit exchange spares management of diesel locomotives in the Indian railways," International Journal of Production Economics, Elsevier, vol. 33(1-3), pages 225-236, January.
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    Cited by:

    1. Yaping Ren & Xinyu Lu & Hongfei Guo & Zhaokang Xie & Haoyang Zhang & Chaoyong Zhang, 2023. "A Review of Combinatorial Optimization Problems in Reverse Logistics and Remanufacturing for End-of-Life Products," Mathematics, MDPI, vol. 11(2), pages 1-24, January.
    2. Suzanne, Elodie & Absi, Nabil & Borodin, Valeria, 2020. "Towards circular economy in production planning: Challenges and opportunities," European Journal of Operational Research, Elsevier, vol. 287(1), pages 168-190.
    3. Barba-Gutierrez, Y. & Adenso-Diaz, B. & Gupta, S.M., 2008. "Lot sizing in reverse MRP for scheduling disassembly," International Journal of Production Economics, Elsevier, vol. 111(2), pages 741-751, February.
    4. Mehmet Talha Dulman & Surendra M. Gupta, 2018. "Evaluation of Maintenance and EOL Operation Performance of Sensor-Embedded Laptops," Logistics, MDPI, vol. 2(1), pages 1-22, January.
    5. H-J Kim & D-H Lee & P Xirouchakis, 2006. "A Lagrangean heuristic algorithm for disassembly scheduling with capacity constraints," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(10), pages 1231-1240, October.
    6. Slama, Ilhem & Ben-Ammar, Oussama & Thevenin, Simon & Dolgui, Alexandre & Masmoudi, Faouzi, 2022. "Stochastic program for disassembly lot-sizing under uncertain component refurbishing lead times," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1183-1198.
    7. Tian, Xiaoyu & Zhang, Zhi-Hai, 2019. "Capacitated disassembly scheduling and pricing of returned products with price-dependent yield," Omega, Elsevier, vol. 84(C), pages 160-174.
    8. Lu, Liang & Qi, Xiangtong & Liu, Zhixin, 2014. "On the cooperation of recycling operations," European Journal of Operational Research, Elsevier, vol. 233(2), pages 349-358.
    9. H-J Kim & D-H Lee & P Xirouchakis & O K Kwon, 2009. "A branch and bound algorithm for disassembly scheduling with assembly product structure," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(3), pages 419-430, March.

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