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Loss-averse newsvendor problem with supply risk

Author

Listed:
  • Lijun Ma

    (Shenzhen University, Shenzhen, China)

  • Weili Xue

    (Southeast University, Nanjing, China)

  • Yingxue Zhao

    (University of International Business and Economics, Beijing, China)

  • Qinghua Zeng

    (Shenzhen University, Shenzhen, China)

Abstract

Modeling the manufacturer as a newsvendor, in this paper we study the ordering decisions of a loss-averse newsvendor with supply and demand uncertainties. Using the stylized newsvendor models, we analyse several key issues, including the effect of the newsvendor’s loss aversion, the effect of demand uncertainty, and the effect of supply uncertainty on the decision maker’s optimal decision under the procurement model, in which the decision maker only pays for the actual quantity received. Through our analysis, we find the following facts: the optimal order quantity decreases with respect to the degree of loss-aversion; the supply uncertainty induces the decision maker to order more than that in a deterministic environment; a stochastically larger demand always results in a larger order quantity and a larger expected utility; the optimal expected utility decreases in the demand volatility while the optimal order quantity may increase or decrease. Moreover, with numerical experiments, we demonstrate that the supply risk negatively affects the utility more than the demand risk does.

Suggested Citation

  • Lijun Ma & Weili Xue & Yingxue Zhao & Qinghua Zeng, 2016. "Loss-averse newsvendor problem with supply risk," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(2), pages 214-228, February.
  • Handle: RePEc:pal:jorsoc:v:67:y:2016:i:2:p:214-228
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    Citations

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    Cited by:

    1. Qingwei Wang & Meimei Zheng & Wei Weng, 2023. "Sourcing decisions with loss aversion under yield and demand randomness," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(2), pages 661-710, June.
    2. Bai, Tian & Wu, Meng & Zhu, Stuart X., 2019. "Pricing and ordering by a loss averse newsvendor with reference dependence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 343-365.
    3. Vipin, B. & Amit, R.K., 2017. "Loss aversion and rationality in the newsvendor problem under recourse option," European Journal of Operational Research, Elsevier, vol. 261(2), pages 563-571.
    4. Xiaodan Jin & Hong Zhou, 2022. "Incentives to Enhance Production Reliability against Disruption: Cost-Sharing vs. Penalty," Sustainability, MDPI, vol. 14(15), pages 1-18, July.
    5. Wu, Meng & Bai, Tian & Zhu, Stuart X., 2018. "A loss averse competitive newsvendor problem with anchoring," Omega, Elsevier, vol. 81(C), pages 99-111.
    6. Luo, Sha & Ahiska, S. Sebnem & Fang, Shu-Cherng & King, Russell E. & Warsing, Donald P. & Wu, Shuohao, 2021. "An analysis of optimal ordering policies for a two-supplier system with disruption risk," Omega, Elsevier, vol. 105(C).
    7. Yan, Nina & He, Xiuli & Liu, Ye, 2019. "Financing the capital-constrained supply chain with loss aversion: Supplier finance vs. supplier investment," Omega, Elsevier, vol. 88(C), pages 162-178.
    8. Irfanullah Khan & Biswajit Sarkar, 2021. "Transfer of Risk in Supply Chain Management with Joint Pricing and Inventory Decision Considering Shortages," Mathematics, MDPI, vol. 9(6), pages 1-20, March.
    9. Gel, Esma S. & Salman, F. Sibel, 2022. "Dynamic ordering decisions with approximate learning of supply yield uncertainty," International Journal of Production Economics, Elsevier, vol. 243(C).
    10. Yufei Ren & David Croson & Rachel Croson, 2017. "The overconfident newsvendor," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 496-506, May.
    11. Peng, Hongjun & Pang, Tao, 2019. "Optimal strategies for a three-level contract-farming supply chain with subsidy," International Journal of Production Economics, Elsevier, vol. 216(C), pages 274-286.
    12. Poormoaied, Saeed & Atan, Zümbül, 2020. "A multi-attribute utility theory approach to ordering policy for perishable items," International Journal of Production Economics, Elsevier, vol. 225(C).
    13. Wei Liu & Shiji Song & Ying Qiao & Han Zhao & Huachang Wang, 2020. "The Loss-Averse Newsvendor Problem with Random Yield and Reference Dependence," Mathematics, MDPI, vol. 8(8), pages 1-15, July.
    14. Wentao Yi & Zhongwei Feng & Chunqiao Tan & Yuzhong Yang, 2021. "Green Supply Chain Management with Nash Bargaining Loss-Averse Reference Dependence," Mathematics, MDPI, vol. 9(24), pages 1-26, December.

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