IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v52y2006i8p1200-1214.html
   My bibliography  Save this article

Time Value of Commercial Product Returns

Author

Listed:
  • V. Daniel R. Guide , Jr.

    (Smeal College of Business, The Pennsylvania State University, University Park, Pennsylvania 16802)

  • Gilvan C. Souza

    (Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742)

  • Luk N. Van Wassenhove

    (INSEAD, Boulevard de Constance, 77305 Fontainebleau, France)

  • Joseph D. Blackburn

    (Owen School of Management, Vanderbilt University, Nashville, Tennessee 37203)

Abstract

Manufacturers and their distributors must cope with an increased flow of returned products from their customers. The value of commercial product returns, which we define as products returned for any reason within 90 days of sale, now exceeds $100 billion annually in the United States. Although the reverse supply chain of returned products represents a sizeable flow of potentially recoverable assets, only a relatively small fraction of the value is currently extracted by manufacturers; a large proportion of the product value erodes away because of long processing delays. Thus, there are significant opportunities to build competitive advantage from making the appropriate reverse supply chain design choices. In this paper, we present a network flow with delay models that includes the marginal value of time to identify the drivers of reverse supply chain design. We illustrate our approach with specific examples from two companies in different industries and then examine how industry clockspeed generally affects the choice between an efficient and a responsive returns network.

Suggested Citation

  • V. Daniel R. Guide , Jr. & Gilvan C. Souza & Luk N. Van Wassenhove & Joseph D. Blackburn, 2006. "Time Value of Commercial Product Returns," Management Science, INFORMS, vol. 52(8), pages 1200-1214, August.
  • Handle: RePEc:inm:ormnsc:v:52:y:2006:i:8:p:1200-1214
    DOI: 10.1287/mnsc.1060.0522
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.1060.0522
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.1060.0522?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. Hau Lee & Seungjin Whang, 1999. "Decentralized Multi-Echelon Supply Chains: Incentives and Information," Management Science, INFORMS, vol. 45(5), pages 633-640, May.
    2. L. Beril Toktay & Lawrence M. Wein & Stefanos A. Zenios, 2000. "Inventory Management of Remanufacturable Products," Management Science, INFORMS, vol. 46(11), pages 1412-1426, November.
    3. Jayashankar M. Swaminathan & Sridhar R. Tayur, 2003. "Models for Supply Chains in E-Business," Management Science, INFORMS, vol. 49(10), pages 1387-1406, October.
    4. V. Padmanabhan & I. P. L. Png, 1997. "Manufacturer's Return Policies and Retail Competition," Marketing Science, INFORMS, vol. 16(1), pages 81-94.
    5. Haim Mendelson & Ravindran R. Pillai, 1999. "Industry Clockspeed: Measurement and Operational Implications," Manufacturing & Service Operations Management, INFORMS, vol. 1(1), pages 1-20.
    6. Ananth V. Iyer & Apurva Jain, 2003. "The Logistics Impact of a Mixture of Order-Streams in a Manufacturer-Retailer System," Management Science, INFORMS, vol. 49(7), pages 890-906, July.
    7. Barry Alan Pasternack, 1985. "Optimal Pricing and Return Policies for Perishable Commodities," Marketing Science, INFORMS, vol. 4(2), pages 166-176.
    8. Choi, Tsan-Ming & Li, Duan & Yan, Houmin, 2004. "Optimal returns policy for supply chain with e-marketplace," International Journal of Production Economics, Elsevier, vol. 88(2), pages 205-227, March.
    9. Williams, J.R., 1992. "How Sustainable is your Competitive Advantage?," GSIA Working Papers 1992-03, Carnegie Mellon University, Tepper School of Business.
    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. Mark Ferguson & V. Daniel R. Guide , Jr. & Gilvan C. Souza, 2006. "Supply Chain Coordination for False Failure Returns," Manufacturing & Service Operations Management, INFORMS, vol. 8(4), pages 376-393, August.
    2. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
    3. Canan Savaskan & Charles J. Corbett, 2001. "Contracting and Coordination in Closed-Loop Supply Chains," Discussion Papers 1327, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    4. Li, Guo & Li, Lin & Sethi, Suresh P. & Guan, Xu, 2019. "Return strategy and pricing in a dual-channel supply chain," International Journal of Production Economics, Elsevier, vol. 215(C), pages 153-164.
    5. Chen, Jing, 2011. "Returns with wholesale-price-discount contract in a newsvendor problem," International Journal of Production Economics, Elsevier, vol. 130(1), pages 104-111, March.
    6. Chen, Kebing & Xiao, Tiaojun, 2011. "Ordering policy and coordination of a supply chain with two-period demand uncertainty," European Journal of Operational Research, Elsevier, vol. 215(2), pages 347-357, December.
    7. Barry Alan Pasternack, 2008. "Commentary—Optimal Pricing and Return Policies for Perishable Commodities," Marketing Science, INFORMS, vol. 27(1), pages 131-132, 01-02.
    8. Huang, Ximin & Gu, Jia-Wen & Ching, Wai-Ki & Siu, Tak-Kuen, 2014. "Impact of secondary market on consumer return policies and supply chain coordination," Omega, Elsevier, vol. 45(C), pages 57-70.
    9. Lauren Skinner Beitelspacher & Thomas L. Baker & Adam Rapp & Dhruv Grewal, 2018. "Understanding the long-term implications of retailer returns in business-to-business relationships," Journal of the Academy of Marketing Science, Springer, vol. 46(2), pages 252-272, March.
    10. Wang, Yulan & Zipkin, Paul, 2009. "Agents' incentives under buy-back contracts in a two-stage supply chain," International Journal of Production Economics, Elsevier, vol. 120(2), pages 525-539, August.
    11. Yalabik, Baris & Petruzzi, Nicholas C. & Chhajed, Dilip, 2005. "An integrated product returns model with logistics and marketing coordination," European Journal of Operational Research, Elsevier, vol. 161(1), pages 162-182, February.
    12. Ye, Yu-Sen & Ma, Zu-Jun & Dai, Ying, 2016. "The price of anarchy in competitive reverse supply chains with quality-dependent price-only contracts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 86-107.
    13. Hsieh, Chung-Chi & Lu, Yu-Ting, 2010. "Manufacturer's return policy in a two-stage supply chain with two risk-averse retailers and random demand," European Journal of Operational Research, Elsevier, vol. 207(1), pages 514-523, November.
    14. Hing-Ling Lau, Amy & Lau, Hon-Shiang & Willett, Keith D., 2000. "Demand uncertainty and returns policies for a seasonal product: An alternative model," International Journal of Production Economics, Elsevier, vol. 66(1), pages 1-12, June.
    15. Michelle M.H. Şeref & Janice E. Carrillo & Arda Yenipazarli, 2016. "Multi-generation pricing and timing decisions in new product development," International Journal of Production Research, Taylor & Francis Journals, vol. 54(7), pages 1919-1937, April.
    16. Bellantuono, Nicola & Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo & Tang, Christopher S., 2009. "The implications of joint adoption of revenue sharing and advance booking discount programs," International Journal of Production Economics, Elsevier, vol. 121(2), pages 383-394, October.
    17. Konur, Dinçer & Geunes, Joseph, 2016. "Supplier wholesale pricing for a retail chain: Implications of centralized vs. decentralized retailing and procurement under quantity competition," Omega, Elsevier, vol. 65(C), pages 98-110.
    18. Shi Chen & Hau Lee, 2017. "Incentive Alignment and Coordination of Project Supply Chains," Management Science, INFORMS, vol. 63(4), pages 1011-1025, April.
    19. Ravi Anupindi & Yehuda Bassok, 1999. "Centralization of Stocks: Retailers vs. Manufacturer," Management Science, INFORMS, vol. 45(2), pages 178-191, February.
    20. Xiaoning Luo & Yanmin Jiang & Qiying Hu, 2010. "Supply chain coordination with shelf‐space and retail price dependent demand and heterogeneous retailers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 57(8), pages 673-685, December.

    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:ormnsc:v:52:y:2006:i:8:p:1200-1214. 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.