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Contracting with asymmetric demand information in supply chains

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  • Babich, Volodymyr
  • Li, Hantao
  • Ritchken, Peter
  • Wang, Yunzeng
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    Abstract

    We solve a buyback contract design problem for a supplier who is working with a retailer who possesses private information about the demand distribution. We model the retailer’s private information as a space of either discrete or continuous demand states so that only the retailer knows its demand state and the demand for the product is stochastically increasing in the state. We focus on contracts that are viable in practice, where the buyback price being strictly less than the wholesale price, which is itself strictly less than the retail price. We derive the optimal (for the supplier) buyback contract that allows for arbitrary allocation of profits to the retailer (subject to the retailer’s reservation profit requirements) and show that in the limit this contract leads to the first-best solution with the supplier keeping the entire channel’s profit (after the retailer’s reservation profit).

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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 217 (2012)
    Issue (Month): 2 ()
    Pages: 333-341

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    Handle: RePEc:eee:ejores:v:217:y:2012:i:2:p:333-341

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    Web page: http://www.elsevier.com/locate/eor

    Related research

    Keywords: Supply chain management; Contracting; Asymmetric information; Return and buyback policies;

    References

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    1. Li, Hantao & Ritchken, Peter & Wang, Yunzeng, 2009. "Option and forward contracting with asymmetric information: Valuation issues in supply chains," European Journal of Operational Research, Elsevier, vol. 197(1), pages 134-148, August.
    2. Gan, Xianghua & Sethi, Suresh P. & Zhou, Jing, 2010. "Commitment-penalty contracts in drop-shipping supply chains with asymmetric demand information," European Journal of Operational Research, Elsevier, vol. 204(3), pages 449-462, August.
    3. Roger B. Myerson, 1977. "Incentive Compatability and the Bargaining Problem," Discussion Papers 284, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    4. Özalp Özer & Wei Wei, 2006. "Strategic Commitments for an Optimal Capacity Decision Under Asymmetric Forecast Information," Management Science, INFORMS, vol. 52(8), pages 1238-1257, August.
    5. Gérard P. Cachon & Martin A. Lariviere, 2001. "Contracting to Assure Supply: How to Share Demand Forecasts in a Supply Chain," Management Science, INFORMS, vol. 47(5), pages 629-646, May.
    6. Anil Arya & Brian Mittendorf, 2004. "Using Return Polices to Elicit Retailer Information," RAND Journal of Economics, The RAND Corporation, vol. 35(3), pages 617-630, Autumn.
    7. Barry Alan Pasternack, 1985. "Optimal Pricing and Return Policies for Perishable Commodities," Marketing Science, INFORMS, vol. 4(2), pages 166-176.
    8. Hing-Ling Lau, Amy & Lau, Hon-Shiang, 2001. "Some two-echelon style-goods inventory models with asymmetric market information," European Journal of Operational Research, Elsevier, vol. 134(1), pages 29-42, October.
    9. Xu, He & Shi, Ning & Ma, Shi-hua & Lai, Kin Keung, 2010. "Contracting with an urgent supplier under cost information asymmetry," European Journal of Operational Research, Elsevier, vol. 206(2), pages 374-383, October.
    10. Charles J. Corbett & Xavier de Groote, 2000. "A Supplier's Optimal Quantity Discount Policy Under Asymmetric Information," Management Science, INFORMS, vol. 46(3), pages 444-450, March.
    11. Zhibin (Ben) Yang & Göker Ayd{\i}n & Volodymyr Babich & Damian R. Beil, 2009. "Supply Disruptions, Asymmetric Information, and a Backup Production Option," Management Science, INFORMS, vol. 55(2), pages 192-209, February.
    12. Liu, Heng & Özer, Özalp, 2010. "Channel incentives in sharing new product demand information and robust contracts," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1341-1349, December.
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