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Pricing and return policy under various supply contracts in a closed-loop supply chain

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  • Seung Ho Yoo
  • DaeSoo Kim
  • Myung-Sub Park

Abstract

This study investigates pricing and return policies under various supply contracts in a closed-loop supply chain in which a supplier has more bargaining power than a retailer. We develop integrated supply contract models based on the principal–agent paradigm. Specifically, the supplier with more bargaining power devises a supply contract, acting as a Stackelberg leader. Then, given the contract offer, the retailer decides on pricing and return policies which affect consumers’ demand and return behaviours. We look into three commonly used supply contracts, i.e. wholesale price, buy-back and quantity discount contracts. The main purpose of this study is to explore how each supply contract affects the retailer’s decision on pricing and return policies, which in turn influence the profits of the entire supply chain and of its members. In doing so, we focus on investigating which contract coordinates the supply chain involving the retailer’s moral hazard. Through analytic comparison of contracts and extensive numerical analyses, we present numerous propositions to enrich the body of knowledge in the closed-loop supply chain and to provide meaningful decision guidelines to the practice.

Suggested Citation

  • Seung Ho Yoo & DaeSoo Kim & Myung-Sub Park, 2015. "Pricing and return policy under various supply contracts in a closed-loop supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 53(1), pages 106-126, January.
  • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:1:p:106-126
    DOI: 10.1080/00207543.2014.932927
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    Cited by:

    1. Assarzadegan, Parisa & Rasti-Barzoki, Morteza, 2020. "A game theoretic approach for pricing under a return policy and a money back guarantee in a closed loop supply chain," International Journal of Production Economics, Elsevier, vol. 222(C).
    2. Byung Duk Song & Young Dae Ko, 2017. "Effect of Inspection Policies and Residual Value of Collected Used Products: A Mathematical Model and Genetic Algorithm for a Closed-Loop Green Manufacturing System," Sustainability, MDPI, vol. 9(9), pages 1-14, September.
    3. Maryam Shoaeinaeini & Kannan Govindan & Donya Rahmani, 2022. "Pricing policy in green supply chain design: the impact of consumer environmental awareness and green subsidies," Operational Research, Springer, vol. 22(4), pages 3989-4028, September.
    4. Shan Lyu & Yuyu Chen & Lei Wang, 2022. "Optimal Decisions in a Multi-Party Closed-Loop Supply Chain Considering Green Marketing and Carbon Tax Policy," IJERPH, MDPI, vol. 19(15), pages 1-23, July.
    5. Ehsan Shekarian & Simme Douwe Flapper, 2021. "Analyzing the Structure of Closed-Loop Supply Chains: A Game Theory Perspective," Sustainability, MDPI, vol. 13(3), pages 1-32, January.
    6. Zhichao Zhang & Qing Zhang & Zhi Liu & Xiaoxue Zheng, 2018. "Static and Dynamic Pricing Strategies in a Closed-Loop Supply Chain with Reference Quality Effects," Sustainability, MDPI, vol. 10(1), pages 1-31, January.
    7. Pietro Giovanni & Georges Zaccour, 2019. "A selective survey of game-theoretic models of closed-loop supply chains," 4OR, Springer, vol. 17(1), pages 1-44, March.
    8. He, Yuanjie, 2017. "Supply risk sharing in a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 39-52.
    9. Xin Yan & Xiaohua Han, 2022. "Optimal pricing and remanufacturing entry strategies of manufacturers in the presence of online reviews," Annals of Operations Research, Springer, vol. 316(1), pages 59-92, September.
    10. Wang, Qiang & Wu, Jie & Zhao, Nenggui, 2022. "Optimal operational policies of a dual-channel supply chain considering return service," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 199(C), pages 414-437.
    11. Brojeswar Pal & Shib Sankar Sana, 2022. "Game-theoretic analysis in an environment-friendly competitive closed-loop dual-channel supply chain with recycling," Operations Management Research, Springer, vol. 15(3), pages 627-646, December.
    12. Kwon, Yong Woo & Sheu, Jiuh-Biing & Yoo, Seung Ho, 2022. "Quadratic quantity discount contract under price-dependent demand and consumer returns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    13. Xu, Xiaoping & Hong, Zhaofu & Chen, Yujing & Cheng, T.C.E., 2023. "When is it wise to use artificial intelligence for platform operations considering consumer returns?," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1188-1205.
    14. Wang, Chong & Chen, Jing & Chen, Xu, 2019. "The impact of customer returns and bidirectional option contract on refund price and order decisions," European Journal of Operational Research, Elsevier, vol. 274(1), pages 267-279.
    15. Wen, Xin & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Fashion retail supply chain management: A review of operational models," International Journal of Production Economics, Elsevier, vol. 207(C), pages 34-55.
    16. Yumi Lee & Sang Hwa Song & Taesu Cheong, 2018. "The value of supply chain coordination under moral hazard: A case study of the consumer product supply chain," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-16, March.
    17. Maiti, T. & Giri, B.C., 2017. "Two-way product recovery in a closed-loop supply chain with variable markup under price and quality dependent demand," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 259-272.
    18. 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.
    19. Ma, Peng & Gong, Yeming & Mirchandani, Prakash, 2020. "Trade-in for remanufactured products: Pricing with double reference effects," International Journal of Production Economics, Elsevier, vol. 230(C).
    20. Li, Guo & Li, Lin & Sethi, Suresh P. & Guan, Xu, 2019. "Return strategy and pricing in a dual-channel supply chain," International Journal of Production Economics, Elsevier, vol. 215(C), pages 153-164.
    21. Pietro De Giovanni & Georges Zaccour, 2022. "A selective survey of game-theoretic models of closed-loop supply chains," Annals of Operations Research, Springer, vol. 314(1), pages 77-116, July.

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