IDEAS home Printed from https://ideas.repec.org/a/inm/orited/v24y2023i1p8-12.html
   My bibliography  Save this article

Case Article—ReCellular Inc: Managing Demand Uncertainty in Closed-Loop Remanufacturing

Author

Listed:
  • Akshay Mutha

    (Grossman School of Business, The University of Vermont, Burlington, Vermont 05405)

  • Saurabh Bansal

    (Department of Supply Chain & Information Systems, Smeal College of Business, Pennsylvania State University, University Park, Pennsylvania 16802)

  • V. Daniel R. Guide

    (Department of Supply Chain & Information Systems, Smeal College of Business, Pennsylvania State University, University Park, Pennsylvania 16802)

Abstract

The modeling-based case study is useful for two purposes: introduce closed-loop supply chains and highlight and model some of its unique aspects that the traditional newsvendor formulation does not capture. The case focuses on a third-party remanufacturer (3PR) who buys used cellphones in different quality grades in anticipation of demand. Phones in high grade have been used gently—they have a high acquisition cost but low remanufacturing cost. Low-grade phones have been used extensively—they are cheaper to acquire but have a higher remanufacturing cost. Medium-grade phones have intermediate acquisition and remanufacturing costs. The 3PR needs to trade off these two costs and determine which grade(s) of used phones to buy. The 3PR restores all phones to the same like-new standard during remanufacturing. Extensive use of the case in supply chain management courses shows that in the absence of a mathematical model, students systematically deviate from the optimal decisions because of contextual features. Overall, students believed the case was challenging and that it provides a valuable learning experience, both as an exposure to the closed-loop supply chain domain as well as developing models with industry-specific factors.

Suggested Citation

  • Akshay Mutha & Saurabh Bansal & V. Daniel R. Guide, 2023. "Case Article—ReCellular Inc: Managing Demand Uncertainty in Closed-Loop Remanufacturing," INFORMS Transactions on Education, INFORMS, vol. 24(1), pages 8-12, September.
  • Handle: RePEc:inm:orited:v:24:y:2023:i:1:p:8-12
    DOI: 10.1287/ited.2021.0254ca
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/ited.2021.0254ca
    Download Restriction: no

    File URL: https://libkey.io/10.1287/ited.2021.0254ca?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Akshay Mutha & Saurabh Bansal & V. Daniel R. Guide, 2016. "Managing Demand Uncertainty through Core Acquisition in Remanufacturing," Production and Operations Management, Production and Operations Management Society, vol. 25(8), pages 1449-1464, August.
    2. Matthew J. Drake & David W. Pentico & Robert P. Sroufe, 2012. "The Remanufacturing Newsvendor Problem," International Series in Operations Research & Management Science, in: Tsan-Ming Choi (ed.), Handbook of Newsvendor Problems, edition 127, chapter 0, pages 249-262, Springer.
    3. Akshay Mutha & Saurabh Bansal & V. Daniel R. Guide, 2019. "Selling Assortments of Used Products to Third‐Party Remanufacturers," Production and Operations Management, Production and Operations Management Society, vol. 28(7), pages 1792-1817, July.
    4. V. Daniel R. Guide, Jr. & Ruud H. Teunter & Luk N. Van Wassenhove, 2003. "Matching Demand and Supply to Maximize Profits from Remanufacturing," Manufacturing & Service Operations Management, INFORMS, vol. 5(4), pages 303-316, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Das, Debabrata & Dutta, Pankaj, 2022. "Product return management through promotional offers: The role of consumers’ loss aversion," International Journal of Production Economics, Elsevier, vol. 251(C).
    2. Hong Sun & Yan Li, 2023. "Optimal Acquisition and Production Policies for Remanufacturing with Quality Grading," Mathematics, MDPI, vol. 11(7), pages 1-21, March.
    3. Kleber, Rainer & Reimann, Marc & Souza, Gilvan C. & Zhang, Weihua, 2020. "Two-sided competition with vertical differentiation in both acquisition and sales in remanufacturing," European Journal of Operational Research, Elsevier, vol. 284(2), pages 572-587.
    4. Patricia van Loon & Luk N. Van Wassenhove & Ales Mihelic, 2022. "Designing a circular business strategy: 7 years of evolution at a large washing machine manufacturer," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 1030-1041, March.
    5. Gong, Hailei & Zhang, Zhi-Hai, 2022. "Benders decomposition for the distributionally robust optimization of pricing and reverse logistics network design in remanufacturing systems," European Journal of Operational Research, Elsevier, vol. 297(2), pages 496-510.
    6. Sabbaghi, Mostafa & Behdad, Sara & Zhuang, Jun, 2016. "Managing consumer behavior toward on-time return of the waste electrical and electronic equipment: A game theoretic approach," International Journal of Production Economics, Elsevier, vol. 182(C), pages 545-563.
    7. Liao, Haolan & Zhang, Qingyu & Li, Lu, 2023. "Optimal procurement strategy for multi-echelon remanufacturing systems under quality uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    8. Zhang, Yanzi & Berenguer, Gemma & Zhang, Zhi-Hai, 2024. "A subsidized reverse supply chain in the Chinese electronics industry," Omega, Elsevier, vol. 122(C).
    9. 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.
    10. Chu, Xiang & Wang, Rui & Lin, Yan & Li, Yantong, 2022. "Building trust in online trade-in programs with a blockchain-enabled system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    11. Y. Sarada & S. Sangeetha, 2022. "Coordinating a reverse supply chain with price and warranty dependent random demand under collection uncertainties," Operational Research, Springer, vol. 22(4), pages 4119-4158, September.
    12. Liu, Wenjie & Liu, Wei & Shen, Ningning & Xu, Zhitao & Xie, Naiming & Chen, Jian & Zhou, Huiyu, 2022. "Pricing and collection decisions of a closed-loop supply chain with fuzzy demand," International Journal of Production Economics, Elsevier, vol. 245(C).
    13. Erzurumlu, S. Sinan, 2013. "The compatibility of durable goods with contingent generic consumables," Omega, Elsevier, vol. 41(3), pages 574-585.
    14. Gunasekara, Lahiru & Robb, David J. & Zhang, Abraham, 2023. "Used product acquisition, sorting and disposition for circular supply chains: Literature review and research directions," International Journal of Production Economics, Elsevier, vol. 260(C).
    15. Yanting Huang & Zongjun Wang, 2017. "Dual-Recycling Channel Decision in a Closed-Loop Supply Chain with Cost Disruptions," Sustainability, MDPI, vol. 9(11), pages 1-28, November.
    16. Tianyang Wang & James S. Dyer & Warren J. Hahn, 2017. "Sensitivity analysis of decision making under dependent uncertainties using copulas," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 117-139, November.
    17. Deishin Lee, 2012. "Turning Waste into By-Product," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 115-127, January.
    18. Hong, I-Hsuan & Ammons, Jane C. & Realff, Matthew J., 2008. "Decentralized decision-making and protocol design for recycled material flows," International Journal of Production Economics, Elsevier, vol. 116(2), pages 325-337, December.
    19. Gökçe Esenduran & James A. Hill & In Joon Noh, 2020. "Understanding the Choice of Online Resale Channel for Used Electronics," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1188-1211, May.
    20. Cai, Xiaoqiang & Lai, Minghui & Li, Xiang & Li, Yongjian & Wu, Xianyi, 2014. "Optimal acquisition and production policy in a hybrid manufacturing/remanufacturing system with core acquisition at different quality levels," European Journal of Operational Research, Elsevier, vol. 233(2), pages 374-382.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orited:v:24:y:2023:i:1:p:8-12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.