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A methodology for determining the optimal reverse flow capacities and the breakeven period for a multi products-component remanufacturing problem of an OEM

Author

Listed:
  • S. Malolan

    (National Institute of Technology Tiruchirappalli)

  • M. Mathirajan

    (Indian Institute of Science)

  • M. K. Tiwari

    (Indian Institute of Technology Kharagpur)

Abstract

Original Equipment Manufacturers (OEM) that assemble multiple durable products are actively engaged in adopting remanufacturing practices. This study addresses the introduction of a new business proposal, which is carrying out remanufacturing of components from acquired returns by an OEM through the set-up of required Reverse Flow Capacities (RFC), which are capacities for dismantling the returns and capacities for remanufacturing various components. Hence, by incorporating the activity on remanufacturing of components, an OEM creates a new cheaper source for obtaining components, in addition to the conventional sources of manufacturing and/or purchasing. The components obtained from any of these three sources can be used to assemble the multiple durable products for satisfying demands. The study refers to this problem as “Multi Products–Component Remanufacturing (MP-CR) problem”. Furthermore, it is identified that the incorporation of MP-CR problem has tremendous potential in the Indian automobile sector. With these, this study address two strategic issues and an operation issue for the incorporation of new MP-CR problem to an OEM. The first strategic issue is the determination of RFC that must be set-up. This strategic issue is addressed in synchronize with the operational issue of determining the optimal Inventory & Production Plans (I&PP) for assembling multiple products for a given planning horizon. In addition, once the optimal RFC is determined, the second strategic issue is the determination of optimal period (called as Breakeven Period (BEP)), after which the OEM would reclaim the capital investment for setting-up the optimal RFC. In order to address these three interrelated decisions, a systematic methodology is proposed. In the proposed methodology, first an Integer Linear Programming Model is developed for the existing system of the OEM to determine the optimal I&PP. Next, this model is extended to determine the optimal RFC and corresponding optimal I&PP. The solution from both proposed models are used for obtaining the Breakeven Period (BEP), which indicates when the capital investments breakeven. Finally, the proposed methodology is demonstrated by developing suitable data observed from an Indian Automobile OEM.

Suggested Citation

  • S. Malolan & M. Mathirajan & M. K. Tiwari, 2020. "A methodology for determining the optimal reverse flow capacities and the breakeven period for a multi products-component remanufacturing problem of an OEM," Operations Management Research, Springer, vol. 13(3), pages 233-248, December.
    • Handle: RePEc:spr:opmare:v:13:y:2020:i:3:d:10.1007_s12063-020-00158-9
    DOI: 10.1007/s12063-020-00158-9
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    References listed on IDEAS

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    1. Teunter, Ruud & Kaparis, Konstantinos & Tang, Ou, 2008. "Multi-product economic lot scheduling problem with separate production lines for manufacturing and remanufacturing," European Journal of Operational Research, Elsevier, vol. 191(3), pages 1241-1253, December.
    2. 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.
    3. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    4. Syed Ali, Sharifah Aishah & Doostmohammadi, Mahdi & Akartunalı, Kerem & van der Meer, Robert, 2018. "A theoretical and computational analysis of lot-sizing in remanufacturing with separate setups," International Journal of Production Economics, Elsevier, vol. 203(C), pages 276-285.
    5. Dobos, Imre & Richter, Knut, 2004. "An extended production/recycling model with stationary demand and return rates," International Journal of Production Economics, Elsevier, vol. 90(3), pages 311-323, August.
    6. Teunter, Ruud & Tang, Ou & Kaparis, Konstantinos, 2009. "Heuristics for the economic lot scheduling problem with returns," International Journal of Production Economics, Elsevier, vol. 118(1), pages 323-330, March.
    7. David A. Schrady, 1967. "A deterministic inventory model for reparable items," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 14(3), pages 391-398.
    8. Roland Geyer & Luk N. Wassenhove, 2005. "The Impact of Constraints in Closed-loop Supply Chains: The Case of Reusing Components in Product Manufacturing," Lecture Notes in Economics and Mathematical Systems, in: Bernhard Fleischmann & Andreas Klose (ed.), Distribution Logistics, pages 203-219, Springer.
    9. Kleber, Rainer & Minner, Stefan & Kiesmuller, Gudrun, 2002. "A continuous time inventory model for a product recovery system with multiple options," International Journal of Production Economics, Elsevier, vol. 79(2), pages 121-141, September.
    10. 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.
    11. Jeihoonian, Mohammad & Kazemi Zanjani, Masoumeh & Gendreau, Michel, 2017. "Closed-loop supply chain network design under uncertain quality status: Case of durable products," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 470-486.
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