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Improving Remanufacturing Core Recovery and Profitability Through Seeding

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  • James D. Abbey
  • H. Neil Geismar
  • Gilvan C. Souza

Abstract

Through analytical modeling and a numerical study grounded in observations from automotive remanufacturing, this study examines seeding—selling new products as remanufactured at the start of a new product's lifecycle—in order to increase core recovery quantities, to allow firms to start efficient remanufacturing earlier, and to fulfill demand for remanufactured products throughout the product's lifecycle. Though seeding has received little attention in the academic literature, many durable goods industries, such as automotive parts and heavy equipment remanufacturing, employ seeding because a lack of used units (cores) significantly constrains their remanufacturing operations. The results reveal that the cost of producing a new unit and the shape of the product lifecycle curve are key determinants of the profitability of seeding. Specifically, if the price of the remanufactured product is less than the cost of producing a new unit, then the profitability of seeding is impacted negatively when the product lifecycle ramps up slowly or when there is a large time lag for the recovery of seeded units. In effect, initial sales of seeded units at a loss for a longer period reduces and potentially nullifies the benefits of seeding. Conversely, if initial sales of seeded units are profitable, then a slower ramp‐up of the product lifecycle or a large time lag for the recovery of seeded units has a positive impact on the profitability of seeding because seeding under these circumstances allows the firm to meet demand for remanufactured products profitably earlier in the lifecycle. The results from a numerical study indicate that seeding increases total remanufacturing profits by an average of 23% and a maximum of 40% over the product's lifecycle.

Suggested Citation

  • James D. Abbey & H. Neil Geismar & Gilvan C. Souza, 2019. "Improving Remanufacturing Core Recovery and Profitability Through Seeding," Production and Operations Management, Production and Operations Management Society, vol. 28(3), pages 610-627, March.
  • Handle: RePEc:bla:popmgt:v:28:y:2019:i:3:p:610-627
    DOI: 10.1111/poms.12937
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    Cited by:

    1. Zhang, Abraham & Wang, Jason X. & Farooque, Muhammad & Wang, Yulan & Choi, Tsan-Ming, 2021. "Multi-dimensional circular supply chain management: A comparative review of the state-of-the-art practices and research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    2. Md. Abdul Moktadir & Anil Kumar & Syed Mithun Ali & Sanjoy Kumar Paul & Razia Sultana & Jafar Rezaei, 2020. "Critical success factors for a circular economy: Implications for business strategy and the environment," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3611-3635, December.
    3. Ma, Deqing & Hu, Jinsong, 2022. "The optimal combination between blockchain and sales format in an internet platform-based closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 254(C).
    4. Cao, Jian & Wu, Sisi & Kumar, Sanjay, 2023. "Recovering and remanufacturing to fulfill EPR regulation in the presence of secondary market," International Journal of Production Economics, Elsevier, vol. 263(C).
    5. Aditya Vedantam & Ananth Iyer, 2021. "Revenue‐Sharing Contracts Under Quality Uncertainty in Remanufacturing," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2008-2026, July.
    6. He, Qidong & Wang, Nengmin & Browning, Tyson R. & Jiang, Bin, 2022. "Competitive collection with convenience-perceived customers," European Journal of Operational Research, Elsevier, vol. 303(1), pages 239-254.
    7. Liu, Baolong & Papier, Felix, 2022. "Remanufacturing of multi-component systems with product substitution," European Journal of Operational Research, Elsevier, vol. 301(3), pages 896-911.

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