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Multi-period modeling of two-way price commitment under price-dependent demand

Author

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  • Liu, Yong
  • Qin, Fei
  • Fry, Michael J.
  • Raturi, Amitabh S.

Abstract

This paper examines the use of price-commitment policies in dynamic contracting in multiple-period, finite-time horizons. Two specific forms of price commitment are considered: one on the part of the retailer through a retail-fixed-markup contract and one on the part of the manufacturer through a price-protection contract. Optimal policies for each form of price commitment are analytically derived, as are optimal policies for the traditional price-only and centralized supply chain scenarios that we use as comparisons. We prove that optimal retail price and order size solutions exist in each period under the assumption of non-increasing price-dependent demand. We show that the existence of retailer inventory between periods causes the optimal policies to differ from a static single-period model. Further, we show that a supplier offers a price-protection policy as a signal to the retailer to resolve the gaming that naturally occurs under price-only; this effectively decouples the multi-period dynamic contracting setting into repeated single-period scenarios. However, the resulting behavior can actually inhibit supply chain performance. On the retail commitment side, we find that retail-fixed-markup policies are quite effective in improving supply chain efficiency. We show that such policies can lead to Pareto-improvement over price-only contracts and can even coordinate the supply chain in some situations.

Suggested Citation

  • Liu, Yong & Qin, Fei & Fry, Michael J. & Raturi, Amitabh S., 2012. "Multi-period modeling of two-way price commitment under price-dependent demand," European Journal of Operational Research, Elsevier, vol. 221(3), pages 546-556.
  • Handle: RePEc:eee:ejores:v:221:y:2012:i:3:p:546-556
    DOI: 10.1016/j.ejor.2012.04.007
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    References listed on IDEAS

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    4. Qiu, Ruozhen & Sun, Minghe & Lim, Yun Fong, 2017. "Optimizing (s, S) policies for multi-period inventory models with demand distribution uncertainty: Robust dynamic programing approaches," European Journal of Operational Research, Elsevier, vol. 261(3), pages 880-892.
    5. Jiang, Yuanchun & Liu, Yezheng & Shang, Jennifer & Yildirim, Pinar & Zhang, Qingfu, 2018. "Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives," European Journal of Operational Research, Elsevier, vol. 267(2), pages 612-627.
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    7. Hongjun Peng & Tao Pang & Fuliang Cao & Juan Zhao, 2018. "A Mutual Subsidy Mechanism for a Seasonal Product Supply Chain Channel Under Double Price Regulation," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(06), pages 1-26, December.
    8. Fu, Hong & Ma, Yongkai & Cai, Xiaoqiang, 2018. "Downstream firm’s investment with equity holding in decentralized assembly systems," Omega, Elsevier, vol. 75(C), pages 27-56.
    9. Yao-Yu Wang & Jiasen Sun & Jian-Cai Wang, 2016. "Equilibrium markup pricing strategies for the dominant retailers under supply chain to chain competition," International Journal of Production Research, Taylor & Francis Journals, vol. 54(7), pages 2075-2092, April.
    10. Mai, Feng & Fry, Michael J. & Raturi, Amitabh S., 2016. "Supply-chain performance anomalies: Fairness concerns under private cost informationAuthor-Name: Qin, Fei," European Journal of Operational Research, Elsevier, vol. 252(1), pages 170-182.
    11. Wang, Yao-Yu & Wang, Jian-Cai & Shou, Biying, 2013. "Pricing and effort investment for a newsvendor-type product," European Journal of Operational Research, Elsevier, vol. 229(2), pages 422-432.
    12. Liu, Jingchen & Zhai, Xin & Chen, Lihua, 2019. "Optimal pricing strategy under trade-in program in the presence of strategic consumers," Omega, Elsevier, vol. 84(C), pages 1-17.

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