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Markdown money contracts for perishable goods with clearance pricing

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  • Wang, Charles X.
  • Webster, Scott

Abstract

It is common in practice that retailers liquidate unsold perishable goods via clearance pricing. Markdown money is frequently used between manufacturers and retailers in such a supply chain setting. It is a form of rebate from a manufacturer to subsidize a retailer's clearance pricing after the regular season. Two forms of markdown money are percent markdown money, in which the markdown money is limited to only a certain percentage of the retail price markdown, and quantity markdown money, which is essentially a buyback contract or returns policy with a rebate credit paid to the retailer for each unsold unit after the regular season. We show both forms of markdown money contracts can coordinate the supply chain and we discuss their strengths and limitations.

Suggested Citation

  • Wang, Charles X. & Webster, Scott, 2009. "Markdown money contracts for perishable goods with clearance pricing," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1113-1122, August.
    • Handle: RePEc:eee:ejores:v:196:y:2009:i:3:p:1113-1122
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    Cited by:

    1. Liu, Jian & Mantin, Benny & Wang, Haiyan, 2014. "Supply chain coordination with customer returns and refund-dependent demand," International Journal of Production Economics, Elsevier, vol. 148(C), pages 81-89.
    2. Iciar Pavez & Jean Marie Codron, 2018. "Contractual price provisions and their determinants in conditions of uncertainty: the case of Chilean fruit exports [Dispositions contractuelles sur les prix et leurs déterminants dans des conditio," Post-Print hal-02618927, HAL.
    3. Song-Man Wu & Felix T. S. Chan & S. H. Chung, 2022. "The influence of positive and negative salvage values on supply chain financing strategies," Annals of Operations Research, Springer, vol. 315(1), pages 535-563, August.
    4. Castañeda, Jaime Andrés & Brennan, Mark & Goentzel, Jarrod, 2019. "A behavioral investigation of supply chain contracts for a newsvendor problem in a developing economy," International Journal of Production Economics, Elsevier, vol. 210(C), pages 72-83.
    5. Bin Shen & Tsan-Ming Choi & Chris Kwan-Yu Lo, 2015. "Enhancing Economic Sustainability by Markdown Money Supply Contracts in the Fashion Industry: China vs U.S.A," Sustainability, MDPI, vol. 8(1), pages 1-14, December.
    6. Matsui, Kenji, 2019. "A supply chain member should set its margin later if another member's cost is highly uncertain," European Journal of Operational Research, Elsevier, vol. 275(1), pages 127-138.
    7. Avittathur, Balram & Biswas, Indranil, 2017. "A note on limited clearance sale inventory model," International Journal of Production Economics, Elsevier, vol. 193(C), pages 647-653.
    8. Chen, Jing, 2011. "The impact of sharing customer returns information in a supply chain with and without a buyback policy," European Journal of Operational Research, Elsevier, vol. 213(3), pages 478-488, September.
    9. Shuai Yang & Yiping Song & Siliang Tong, 2017. "Sustainable Retailing in the Fashion Industry: A Systematic Literature Review," Sustainability, MDPI, vol. 9(7), pages 1-19, July.
    10. Mitra, Subrata, 2018. "Newsvendor problem with clearance pricing," European Journal of Operational Research, Elsevier, vol. 268(1), pages 193-202.
    11. Wang, Charles X. & Qian, Zhuang & Zhao, Yabing, 2018. "Impact of manufacturer and retailer's market pricing power on customer satisfaction incentives in supply chains," International Journal of Production Economics, Elsevier, vol. 205(C), pages 98-112.
    12. Anand Paul & Tharanga Rajapakshe & Suman Mallik, 2019. "Socially Optimal Contracting between a Regional Blood Bank and Hospitals," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 908-932, April.
    13. Ketzenberg, Michael & Oliva, Rogelio & Wang, Yimin & Webster, Scott, 2023. "Retailer inventory data sharing in a fresh product supply chain," European Journal of Operational Research, Elsevier, vol. 307(2), pages 680-693.
    14. Liu, Chao & Chen, Weidong & Zhou, Qian & Mu, Jing, 2021. "Modelling dynamic freshness-keeping effort over a finite time horizon in a two-echelon online fresh product supply chain," European Journal of Operational Research, Elsevier, vol. 293(2), pages 511-528.
    15. Xiangyu Hou & Dacheng Liu, 2017. "Building fresh product supply chain cooperation in a typical wholesale market," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 566-576, May.
    16. Hu, Shu & Dai, Ying & Ma, Zu-Jun & Ye, Yu-Sen, 2016. "Designing contracts for a reverse supply chain with strategic recycling behavior of consumers," International Journal of Production Economics, Elsevier, vol. 180(C), pages 16-24.

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