IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v33y2003i1p23-35.html
   My bibliography  Save this article

Combinatorial and Quantity-Discount Procurement Auctions Benefit Mars, Incorporated and Its Suppliers

Author

Listed:
  • Gail Hohner

    (Mars, Incorporated, Winnersh Triangle, United Kingdom)

  • John Rich

    (Mars, Incorporated, Winnersh Triangle, United Kingdom)

  • Ed Ng

    (Mars, Incorporated, Winnersh Triangle, United Kingdom)

  • Grant Reid

    (Mars, Incorporated, McLean, Virginia)

  • Andrew J. Davenport

    (IBM T.J. Watson Research Center, PO Box 218, Yorktown Heights, New York 10598)

  • Jayant R. Kalagnanam

    (IBM T.J. Watson Research Center, PO Box 218, Yorktown Heights, New York 10598)

  • Ho Soo Lee

    (IBM T.J. Watson Research Center, PO Box 218, Yorktown Heights, New York 10598)

  • Chae An

    (IBM T.J. Watson Research Center, PO Box 218, Yorktown Heights, New York 10598)

Abstract

Simple auctions neglect the complex business constraints required by strategic sourcing. The Mars-IBM team created a procurement auction Web site 〈www.number1traders.com〉 that enables buyers to incorporate complex bid structures (such as bundled all-or-nothing bids and quantity-discounted bids) and business constraints into strategic-sourcing auctions. Outcomes in such auctions must lead to win-win solutions to sustain long-term relationships between procurer and suppliers. These factors are as important or more important than price. The Mars procurement auction Web site supports several alternatives to simple auctions that help match its needs as procurer and the capabilities of suppliers by incorporating optimal bid selection subject to constraints based on business rules in a dynamic environment. The ability to consider geographic, volume, and quality factors helps both parties. Feedback from participant suppliers has highlighted the benefits of time efficiency, transparency, and fairness. Although they reflect just one side of the benefits ledger, the monetary benefits to Mars (a $14 billion company) and to its suppliers are significant.

Suggested Citation

  • Gail Hohner & John Rich & Ed Ng & Grant Reid & Andrew J. Davenport & Jayant R. Kalagnanam & Ho Soo Lee & Chae An, 2003. "Combinatorial and Quantity-Discount Procurement Auctions Benefit Mars, Incorporated and Its Suppliers," Interfaces, INFORMS, vol. 33(1), pages 23-35, February.
  • Handle: RePEc:inm:orinte:v:33:y:2003:i:1:p:23-35
    DOI: 10.1287/inte.33.1.23.12717
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.33.1.23.12717
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.33.1.23.12717?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. Paul Katz & Amir Sadrian & Patrick Tendick, 1994. "Telephone Companies Analyze Price Quotations with Bellcore's PDSS Software," Interfaces, INFORMS, vol. 24(1), pages 50-63, February.
    2. Amir A. Sadrian & Yong S. Yoon, 1994. "A Procurement Decision Support System in Business Volume Discount Environments," Operations Research, INFORMS, vol. 42(1), pages 14-23, February.
    3. Michael H. Rothkopf & Aleksandar Pekev{c} & Ronald M. Harstad, 1998. "Computationally Manageable Combinational Auctions," Management Science, INFORMS, vol. 44(8), pages 1131-1147, August.
    4. Hau L. Lee & Meir J. Rosenblatt, 1986. "A Generalized Quantity Discount Pricing Model to Increase Supplier's Profits," Management Science, INFORMS, vol. 32(9), pages 1177-1185, September.
    5. Kim, Kap H. & Hwang, Hark, 1988. "An incremental discount pricing schedule with multiple customers and single price break," European Journal of Operational Research, Elsevier, vol. 35(1), pages 71-79, April.
    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. Kim, Young-Joo & Hwang, Hark, 2008. "Incremental discount policy for taxi fare with price-sensitive demand," International Journal of Production Economics, Elsevier, vol. 112(2), pages 895-902, April.
    2. Viswanathan, S. & Wang, Qinan, 2003. "Discount pricing decisions in distribution channels with price-sensitive demand," European Journal of Operational Research, Elsevier, vol. 149(3), pages 571-587, September.
    3. Qinan Wang & Ruifang Wang, 2005. "Quantity discount pricing policies for heterogeneous retailers with price sensitive demand," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(7), pages 645-658, October.
    4. Tsai, Jung-Fa, 2007. "An optimization approach for supply chain management models with quantity discount policy," European Journal of Operational Research, Elsevier, vol. 177(2), pages 982-994, March.
    5. Zhou, Yong-Wu & Min, Jie & Goyal, Suresh K., 2008. "Supply-chain coordination under an inventory-level-dependent demand rate," International Journal of Production Economics, Elsevier, vol. 113(2), pages 518-527, June.
    6. Duan, Lisha & Ventura, José A., 2019. "A Dynamic Supplier Selection and Inventory Management Model for a Serial Supply Chain with a Novel Supplier Price Break Scheme and Flexible Time Periods," European Journal of Operational Research, Elsevier, vol. 272(3), pages 979-998.
    7. Benton, W. C. & Park, Seungwook, 1996. "A classification of literature on determining the lot size under quantity discounts," European Journal of Operational Research, Elsevier, vol. 92(2), pages 219-238, July.
    8. Zhou, Yong-Wu, 2009. "Two-echelon supply chain coordination through the unified number of annual orders," International Journal of Production Economics, Elsevier, vol. 117(1), pages 162-173, January.
    9. Qinan Wang, 2002. "Determination of suppliers' optimal quantity discount schedules with heterogeneous buyers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(1), pages 46-59, February.
    10. Sarmah, S.P. & Acharya, D. & Goyal, S.K., 2006. "Buyer vendor coordination models in supply chain management," European Journal of Operational Research, Elsevier, vol. 175(1), pages 1-15, November.
    11. Pan, Kewen & Lai, K.K. & Liang, L. & Leung, Stephen C.H., 2009. "Two-period pricing and ordering policy for the dominant retailer in a two-echelon supply chain with demand uncertainty," Omega, Elsevier, vol. 37(4), pages 919-929, August.
    12. Yang, P. C., 2004. "Pricing strategy for deteriorating items using quantity discount when demand is price sensitive," European Journal of Operational Research, Elsevier, vol. 157(2), pages 389-397, September.
    13. Joris van de Klundert & Jeroen Kuipers & Frits C. R. Spieksma & Maarten Winkels, 2005. "Selecting Telecommunication Carriers to Obtain Volume Discounts," Interfaces, INFORMS, vol. 35(2), pages 124-132, April.
    14. Qin, Yiyan & Tang, Huanwen & Guo, Chonghui, 2007. "Channel coordination and volume discounts with price-sensitive demand," International Journal of Production Economics, Elsevier, vol. 105(1), pages 43-53, January.
    15. Li, Xiuhui & Wang, Qinan, 2007. "Coordination mechanisms of supply chain systems," European Journal of Operational Research, Elsevier, vol. 179(1), pages 1-16, May.
    16. Chan, Chi Kin & Lee, Y.C.E., 2012. "A co-ordination model combining incentive scheme and co-ordination policy for a single-vendor–multi-buyer supply chain," International Journal of Production Economics, Elsevier, vol. 135(1), pages 136-143.
    17. Lu, Lu, 1995. "A one-vendor multi-buyer integrated inventory model," European Journal of Operational Research, Elsevier, vol. 81(2), pages 312-323, March.
    18. Kameshwaran, S. & Narahari, Y. & Rosa, Charles H. & Kulkarni, Devadatta M. & Tew, Jeffrey D., 2007. "Multiattribute electronic procurement using goal programming," European Journal of Operational Research, Elsevier, vol. 179(2), pages 518-536, June.
    19. Monica Lam, S. & Wong, Danny S., 1996. "A fuzzy mathematical model for the joint economic lot size problem with multiple price breaks," European Journal of Operational Research, Elsevier, vol. 95(3), pages 611-622, December.
    20. Qinan Wang, 2004. "Coordinating independent buyers with integer‐ratio time coordination and quantity discounts," Naval Research Logistics (NRL), John Wiley & Sons, vol. 51(3), pages 316-331, April.

    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:orinte:v:33:y:2003:i:1:p:23-35. 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.