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Supply chain coordination with trade credit under the CVaR criterion

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  • Zhiming Chen
  • Kunwen Yuan
  • Shaorui Zhou

Abstract

Trade credit is a popular payment method in the supply chain. However, it may transfer the market risk facing by the retailer to the manufacturer in the form of default risk. To reduce the default loss, we set up a modified newsvendor model incorporating random default probability. Under the goal of loss minimisation, the manufacturer’s optimal production quantity is derived with the criterion of conditional value at risk, and compared with the retailer’s optimal order quantity. It is found that, compared with traditional newsvendor setting, the setting of default possibility in trade credit can increase the order quantity but decrease the production quantity. If the risk aversion level and gross profit of product are low, the manufacturer may deliver below the quantity ordered. Although the default loss can be reduced by cutting order, the profits of both agents decrease, thereby leading to a deviation from the supply chain coordination. Trade credit coordinating the supply chain requires an extremely long credit period, which is not feasible. Moreover, quantity discount contract is able to improve the retailer’s order quantity, but insufficient to achieve coordination, which also depends on the manufacturer’s risk aversion level.

Suggested Citation

  • Zhiming Chen & Kunwen Yuan & Shaorui Zhou, 2019. "Supply chain coordination with trade credit under the CVaR criterion," International Journal of Production Research, Taylor & Francis Journals, vol. 57(11), pages 3538-3553, June.
  • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:11:p:3538-3553
    DOI: 10.1080/00207543.2018.1543966
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    Citations

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    Cited by:

    1. Wei Liu & Han Zhao & Shiji Song & Wenxuan He & Xiaochen Li, 2021. "Coping with Loss Aversion and Risk Management in the Supply Chain Coordination," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    2. Xue‐ge Guo & Yong Liu & Zhen‐juan Xia, 2023. "Decision analysis and coordination of dual supply chain with retailer's offline return service and online reviews," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 322-335, January.
    3. Xu, Xinsheng & Ji, Ping & Sang, Shuming, 2023. "Supply option purchasing decisions via mismatch cost minimization," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 210(C), pages 260-280.
    4. Shuangsheng Wu & Qi Li, 2021. "Emergency Quantity Discount Contract with Suppliers Risk Aversion under Stochastic Price," Mathematics, MDPI, vol. 9(15), pages 1-12, July.
    5. Faryal Fahim & Batiah Mahadi, 2023. "Green Trade Credit and Sustainable Firm Performances During COVID-19: A Conceptual Review," Vision, , vol. 27(5), pages 593-603, November.
    6. Wu, Chengfeng & Liu, Xin & Li, Annan, 2021. "A loss-averse retailer–supplier supply chain model under trade credit in a supplier-Stackelberg game," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 182(C), pages 353-365.
    7. 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).
    8. Zheng, Wei & Li, Bo & Song, Dongping & Li, Yanran, 2023. "Innovative development strategy of a risk-averse firm considering product unreliability under competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    9. Han Zhao & Hui Wang & Wei Liu & Shiji Song & Yu Liao, 2021. "Supply Chain Coordination with a Risk-Averse Retailer and the Call Option Contract in the Presence of a Service Requirement," Mathematics, MDPI, vol. 9(7), pages 1-19, April.
    10. Wei Liu & Shiji Song & Ying Qiao & Han Zhao, 2020. "Supply Chain Coordination with a Loss-Averse Retailer and Combined Contract," Mathematics, MDPI, vol. 8(4), pages 1-20, April.
    11. Mu, Xiuqing & Kang, Kai & Zhang, Jing, 2022. "Dual-channel supply chain coordination considering credit sales competition," Applied Mathematics and Computation, Elsevier, vol. 434(C).

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