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How many times to remanufacture?

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  • El Saadany, Ahmed M.A.
  • Jaber, Mohamad Y.
  • Bonney, Maurice

Abstract

A common finding in inventory models for reverse logistics found in the literature, from the earliest to the most recent work, is that the inventory policy shifts between two extremes, i.e., ‘dispose all’ or ‘recover all’. These models also share a common and unrealistic assumption that an item can be recovered indefinitely. Material degrades in the process of recycling losing some of its mass and quality making the option of ‘multiple recovery’ somewhat infeasible. This paper develops a model where an item is recovered a finite number of times. A mathematical expression is developed that estimates the number of recovery times, which is later incorporated into two prominent models from the literature to compare the behaviour of these models with different recovery assumptions. The results suggest that as the number of times an item is recovered increases, the percentage of available used units that are recoverable plateaus. The results also suggest that there is an optimal number of times to recover a product that balances the investment and remanufacturing costs. The study also found that as the percentage of used units collected increases, the significance of ignoring the finite remanufacturing case becomes more important.

Suggested Citation

  • El Saadany, Ahmed M.A. & Jaber, Mohamad Y. & Bonney, Maurice, 2013. "How many times to remanufacture?," International Journal of Production Economics, Elsevier, vol. 143(2), pages 598-604.
  • Handle: RePEc:eee:proeco:v:143:y:2013:i:2:p:598-604
    DOI: 10.1016/j.ijpe.2011.11.017
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    References listed on IDEAS

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    1. Jaber, Mohamad Y. & Rosen, Marc A., 2008. "The economic order quantity repair and waste disposal model with entropy cost," European Journal of Operational Research, Elsevier, vol. 188(1), pages 109-120, July.
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    5. Jaber, Mohamad Y. & El Saadany, Ahmed M.A., 2009. "The production, remanufacture and waste disposal model with lost sales," International Journal of Production Economics, Elsevier, vol. 120(1), pages 115-124, July.
    6. Rainer Kleber, 2006. "Dynamic Inventory Management in Reverse Logistics," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-540-33230-5, October.
    7. Mabini, Marilyn C. & Pintelon, Liliane M. & Gelders, Ludo F., 1992. "EOQ type formulations for controlling repairable inventories," International Journal of Production Economics, Elsevier, vol. 28(1), pages 21-33, November.
    8. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    9. Laurens G. Debo & L. Beril Toktay & Luk N. Van Wassenhove, 2005. "Market Segmentation and Product Technology Selection for Remanufacturable Products," Management Science, INFORMS, vol. 51(8), pages 1193-1205, August.
    10. Ong, N. S., 1993. "Activity-based cost tables to support wire harness design," International Journal of Production Economics, Elsevier, vol. 29(3), pages 271-289, May.
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    13. El Saadany, Ahmed M.A. & Jaber, Mohamad Y., 2011. "A production/remanufacture model with returns' subassemblies managed differently," International Journal of Production Economics, Elsevier, vol. 133(1), pages 119-126, September.
    14. Jaber, Mohamad Y. & El Saadany, Ahmed M.A., 2011. "An economic production and remanufacturing model with learning effects," International Journal of Production Economics, Elsevier, vol. 131(1), pages 115-127, May.
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    Cited by:

    1. Hsieh, Chung-Chi & Lathifah, Artya, 2022. "Ordering and waste reuse decisions in a make-to-order system under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1290-1303.
    2. Taleizadeh, Ata Allah & Moshtagh, Mohammad Sadegh, 2019. "A consignment stock scheme for closed loop supply chain with imperfect manufacturing processes, lost sales, and quality dependent return: Multi Levels Structure," International Journal of Production Economics, Elsevier, vol. 217(C), pages 298-316.
    3. Bazan, Ehab & Jaber, Mohamad Y. & Zanoni, Simone, 2017. "Carbon emissions and energy effects on a two-level manufacturer-retailer closed-loop supply chain model with remanufacturing subject to different coordination mechanisms," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 394-408.
    4. Adel A. Alamri, 2023. "A Sustainable Closed-Loop Supply Chains Inventory Model Considering Optimal Number of Remanufacturing Times," Sustainability, MDPI, vol. 15(12), pages 1-23, June.
    5. Kozlovskaya, Nadezhda & Pakhomova, Nadezhda & Richter, Knut, 2015. "Complete solution of the extended EOQ repair and waste disposal model with switching costs," Discussion Papers 376, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    6. Lucas Dias Condeixa & Pierry Silva & Diego Moah & Brenda Farias & Adriana Leiras, 2022. "Evaluating cost impacts on reverse logistics using an Economic Order Quantity (EOQ) model with environmental and social considerations," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(3), pages 921-940, September.
    7. Tahirov, Nail & Hasanov, Parviz & Jaber, Mohamad Y., 2016. "Optimization of closed-loop supply chain of multi-items with returned subassemblies," International Journal of Production Economics, Elsevier, vol. 174(C), pages 1-10.
    8. Liu, Jian & Mantin, Benny & Song, Xuefeng, 2022. "Rent, sell, and remanufacture: The manufacturer's choice when remanufacturing can be outsourced," European Journal of Operational Research, Elsevier, vol. 303(1), pages 184-200.
    9. Umangi Pathak & Ravi Kant & Ravi Shankar, 2020. "Effect of buyback price on channel’s decision parameters for manufacturer-led close loop dual supply chain," OPSEARCH, Springer;Operational Research Society of India, vol. 57(2), pages 438-461, June.
    10. Omar, Mohd & Yeo, Ivan, 2014. "A production–repair inventory model with time-varying demand and multiple setups," International Journal of Production Economics, Elsevier, vol. 155(C), pages 398-405.
    11. Kozlovskaya, Nadezhda & Pakhomova, Nadezhda & Richter, Knut, 2016. "A general production and recovery EOQ model with stationary demand and return rates," Discussion Papers 378, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    12. Dev, Navin K. & Shankar, Ravi & Choudhary, Alok, 2017. "Strategic design for inventory and production planning in closed-loop hybrid systems," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 345-353.

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