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The impact of consumer returns policies on consignment contracts with inventory control

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  • Hu, Wei
  • Li, Yongjian
  • Govindan, Kannan

Abstract

We consider a consignment contract with consumer non-defective returns behavior. In our model, an upstream vendor contracts with a downstream retailer. The vendor decides his consignment price charged to the retailer for each unit sold and his refund price for each returned item, and then the retailer sets her retail price for selling the product. The vendor gets paid based on net sold units and salvages unsold units as well as returned items in a secondary market. Under the framework, we study and compare two different consignment arrangements: the retailer/vendor manages consignment inventory (RMCI/VMCI) programs. To study the impact of return policy, we discuss a consignment contract without return policy as a benchmark. We show that whether or not the vendor offers a return policy, it is always beneficial for the channel to delegate the inventory decision to the vendor. We find that the vendor’s return policy depends crucially on the salvage value of returns. If the product has no salvage value, the vendor’s optimal decision is not to offer a return policy; otherwise, the vendor can gain more profit by offering a return policy when the salvage value turns out to be positive.

Suggested Citation

  • Hu, Wei & Li, Yongjian & Govindan, Kannan, 2014. "The impact of consumer returns policies on consignment contracts with inventory control," European Journal of Operational Research, Elsevier, vol. 233(2), pages 398-407.
  • Handle: RePEc:eee:ejores:v:233:y:2014:i:2:p:398-407
    DOI: 10.1016/j.ejor.2013.03.015
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Bieniek Milena, 2018. "Channel Performance Under Vendor Managed Consignment Inventory Contract With Additive Stochastic Demand," Statistics in Transition New Series, Polish Statistical Association, vol. 19(3), pages 551-561, September.
    2. Hesham K. Alfares & Ahmed M. Attia, 2017. "A supply chain model with vendor-managed inventory, consignment, and quality inspection errors," International Journal of Production Research, Taylor & Francis Journals, vol. 55(19), pages 5706-5727, October.
    3. Hu, Shaolong & Hu, Qingmi & Tao, Sha & Dong, Zhijie Sasha, 2023. "A multi-stage stochastic programming approach for pre-positioning of relief supplies considering returns," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    4. Chunlin Luo & Xin Tian & Xiaobing Mao & Qiang Cai, 2018. "Coordinating Supply Chain with Buy-Back Contracts in the Presence of Risk Aversion," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(02), pages 1-19, April.
    5. Hu, Benyong & Meng, Chao & Xu, Dong & Son, Young-Jun, 2018. "Supply chain coordination under vendor managed inventory-consignment stocking contracts with wholesale price constraint and fairness," International Journal of Production Economics, Elsevier, vol. 202(C), pages 21-31.
    6. 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.
    7. Jin, Yannan & Wang, Sujuan & Hu, Qiying, 2015. "Contract type and decision right of sales promotion in supply chain management with a capital constrained retailer," European Journal of Operational Research, Elsevier, vol. 240(2), pages 415-424.
    8. Wang, Daao & Dimitrov, Stanko & Jian, Lirong, 2020. "Optimal inventory decisions for a risk-averse retailer when offering layaway," European Journal of Operational Research, Elsevier, vol. 284(1), pages 108-120.
    9. Xianpei Hong & Wang Chunyuan & Lei Xu & Ali Diabat, 2016. "Multiple-vendor, multiple-retailer based vendor-managed inventory," Annals of Operations Research, Springer, vol. 238(1), pages 277-297, March.
    10. Radhi, Mohannad & Zhang, Guoqing, 2019. "Optimal cross-channel return policy in dual-channel retailing systems," International Journal of Production Economics, Elsevier, vol. 210(C), pages 184-198.
    11. Yu, Yugang & Liu, Jie & Han, Xiaoya & Chen, Can, 2017. "Optimal decisions for sellers considering valuation bias and strategic consumer reactions," European Journal of Operational Research, Elsevier, vol. 259(2), pages 599-613.
    12. B. C. Giri & A. Chakraborty & T. Maiti, 2017. "Effectiveness of consignment stock policy in a three-level supply chain," Operational Research, Springer, vol. 17(1), pages 39-66, April.
    13. Li, Kate J. & Xu, Susan H., 2015. "The comparison between trade-in and leasing of a product with technology innovations," Omega, Elsevier, vol. 54(C), pages 134-146.
    14. Pegah Bahrani & Alireza Arshadi Khamseh, 2020. "Competitive Environment Between Green and Non-green Products Considering Disruption and Alliance Strategy," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(2), pages 135-161, June.
    15. Jin, Delong & Caliskan-Demirag, Ozgun & Chen, Frank (Youhua) & Huang, Min, 2020. "Omnichannel retailers’ return policy strategies in the presence of competition," International Journal of Production Economics, Elsevier, vol. 225(C).
    16. Li, Wei & Chen, Jing & Chen, Bintong, 2018. "Supply chain coordination with customer returns and retailer's store brand product," International Journal of Production Economics, Elsevier, vol. 203(C), pages 69-82.
    17. Shi, Xiutian & Dong, Ciwei & Cheng, T.C.E., 2018. "Does the buy-online-and-pick-up-in-store strategy with pre-orders benefit a retailer with the consideration of returns?," International Journal of Production Economics, Elsevier, vol. 206(C), pages 134-145.
    18. Chen, Jing & Chen, Bintong & Li, Wei, 2018. "Who should be pricing leader in the presence of customer returns?," European Journal of Operational Research, Elsevier, vol. 265(2), pages 735-747.
    19. Mei-Chuan Cheng & Chun-Tao Chang & Tsu-Pang Hsieh, 2023. "An Inventory Model with Advertisement- and Customer-Relationship-Management-Sensitive Demand for a Product’s Life Cycle," Mathematics, MDPI, vol. 11(6), pages 1-16, March.
    20. Mei-Chuan Cheng & Tsu-Pang Hsieh & Hsiu-Mei Lee & Liang-Yuh Ouyang, 2020. "Optimal ordering policies for deteriorating items with a return period and price-dependent demand under two-phase advance sales," Operational Research, Springer, vol. 20(2), pages 585-604, June.
    21. Xianpei Hong & Wang Chunyuan & Lei Xu & Ali Diabat, 2016. "Multiple-vendor, multiple-retailer based vendor-managed inventory," Annals of Operations Research, Springer, vol. 238(1), pages 277-297, March.
    22. Shen, Bin & Xu, Xiaoyan & Yuan, Quan, 2020. "Selling secondhand products through an online platform with blockchain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    23. Milena Bieniek, 2018. "Channel Performance Under Vendor Managed Consignment Inventory Contract With Additive Stochastic Demand," Statistics in Transition New Series, Polish Statistical Association, vol. 19(3), pages 551-561, September.

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