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Hedging Risks in the Loss-Averse Newsvendor Problem with Backlogging

Author

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  • Xiaoqing Liu

    (College of Economics and Management, Qingdao University of Science and Technology, Qingdao 266061, China
    College of Economics and Management, Binzhou University, Binzhou 256601, China)

  • Felix T. S. Chan

    (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong, China)

  • Xinsheng Xu

    (College of Science, Binzhou University, Binzhou 266061, China)

Abstract

This paper studies the optimal order decisions for the loss-averse newsvendor problem with backordering and contributes to the risk hedging issue in the newsvendor model. The Conditional Value-at-Risk (CVaR) measure is applied to quantify the potential risks for the loss-averse newsvendor in a backordering setting, and we obtain the optimal order quantity for a loss-averse newsvendor to maximize the CVaR of utility. It is found that the optimal order quantity to maximize the CVaR objective could be bigger or smaller than the expected profit maximization (EPM) order quantity, which provides an alternative explanation on decision bias in the newsvendor model. This study also reveals that the optimal order quantity for a loss-averse newsvendor to maximize expected utility with backordering is smaller than the EPM order quantity, which implies that backordering encourages the loss-averse newsvendor to order fewer items. Sensitivity analyses are performed to investigate the properties of the optimal order quantities and managerial insights are suggested. This paper provides a novel method for the risk management of the loss-averse newsvendor model and presents several new ordering policies for the retailers in practice.

Suggested Citation

  • Xiaoqing Liu & Felix T. S. Chan & Xinsheng Xu, 2019. "Hedging Risks in the Loss-Averse Newsvendor Problem with Backlogging," Mathematics, MDPI, vol. 7(5), pages 1-23, May.
  • Handle: RePEc:gam:jmathe:v:7:y:2019:i:5:p:429-:d:231034
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    References listed on IDEAS

    as
    1. Khouja, Moutaz, 1999. "The single-period (news-vendor) problem: literature review and suggestions for future research," Omega, Elsevier, vol. 27(5), pages 537-553, October.
    2. Jian Chen & Shuo Huang & Refael Hassin & Nan Zhang, 2015. "Two Backorder Compensation Mechanisms in Inventory Systems with Impatient Customers," Production and Operations Management, Production and Operations Management Society, vol. 24(10), pages 1640-1656, October.
    3. Yi He & Qingyun Xu & Bing Xu & Pengkun Wu, 2016. "Supply chain coordination in quality improvement with reference effects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(9), pages 1158-1168, September.
    4. Bao, Lina & Liu, Zhiying & Yu, Yimin & Zhang, Wei, 2018. "On the decomposition property for a dynamic inventory rationing problem with multiple demand classes and backorder," European Journal of Operational Research, Elsevier, vol. 265(1), pages 99-106.
    5. Xu, Xinsheng & Chan, Chi Kin & Langevin, Andre, 2018. "Coping with risk management and fill rate in the loss-averse newsvendor model," International Journal of Production Economics, Elsevier, vol. 195(C), pages 296-310.
    6. Gotoh, Jun-ya & Takano, Yuichi, 2007. "Newsvendor solutions via conditional value-at-risk minimization," European Journal of Operational Research, Elsevier, vol. 179(1), pages 80-96, May.
    7. Qin, Yan & Wang, Ruoxuan & Vakharia, Asoo J. & Chen, Yuwen & Seref, Michelle M.H., 2011. "The newsvendor problem: Review and directions for future research," European Journal of Operational Research, Elsevier, vol. 213(2), pages 361-374, September.
    8. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    9. Wang, Charles X. & Webster, Scott, 2009. "The loss-averse newsvendor problem," Omega, Elsevier, vol. 37(1), pages 93-105, February.
    10. Liu, Shudong & Song, Miao & Tan, Kok Choon & Zhang, Changyong, 2015. "Multi-class dynamic inventory rationing with stochastic demands and backordering," European Journal of Operational Research, Elsevier, vol. 244(1), pages 153-163.
    11. Johansen, Søren Glud & Thorstenson, Anders, 2014. "Emergency orders in the periodic-review inventory system with fixed ordering costs and compound Poisson demand," International Journal of Production Economics, Elsevier, vol. 157(C), pages 147-157.
    12. Maurice E. Schweitzer & Gérard P. Cachon, 2000. "Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence," Management Science, INFORMS, vol. 46(3), pages 404-420, March.
    13. San José, L.A. & Sicilia, J. & Garcia-Laguna, J., 2006. "Analysis of an inventory system with exponential partial backordering," International Journal of Production Economics, Elsevier, vol. 100(1), pages 76-86, March.
    14. Pando, Valentín & San-José, Luis A. & García-Laguna, Juan & Sicilia, Joaquín, 2013. "A newsboy problem with an emergency order under a general backorder rate function," Omega, Elsevier, vol. 41(6), pages 1020-1028.
    15. Xinsheng Xu & Zhiqing Meng & Ping Ji & Chuangyin Dang & Hongwei Wang, 2016. "On the newsvendor model with conditional Value-at-Risk of opportunity loss," International Journal of Production Research, Taylor & Francis Journals, vol. 54(8), pages 2449-2458, April.
    16. Xinsheng Xu & Felix T.S. Chan & Chi Kin Chan, 2019. "Optimal option purchase decision of a loss-averse retailer under emergent replenishment," International Journal of Production Research, Taylor & Francis Journals, vol. 57(14), pages 4594-4620, July.
    17. Douglas C. Montgomery & M. S. Bazaraa & Ajit K. Keswani, 1973. "Inventory models with a mixture of backorders and lost sales," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 20(2), pages 255-263, June.
    18. Lodree, Emmett Jr., 2007. "Advanced supply chain planning with mixtures of backorders, lost sales, and lost contract," European Journal of Operational Research, Elsevier, vol. 181(1), pages 168-183, August.
    19. Alonso-Ayuso, Antonio & Escudero, Laureano F. & Guignard, Monique & Weintraub, Andres, 2018. "Risk management for forestry planning under uncertainty in demand and prices," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1051-1074.
    20. Xu, Xinsheng & Wang, Hongwei & Dang, Chuangyin & Ji, Ping, 2017. "The loss-averse newsvendor model with backordering," International Journal of Production Economics, Elsevier, vol. 188(C), pages 1-10.
    21. Zhou, Yong-Wu & Wang, Sheng-Dong, 2009. "Manufacturer-buyer coordination for newsvendor-type-products with two ordering opportunities and partial backorders," European Journal of Operational Research, Elsevier, vol. 198(3), pages 958-974, November.
    22. 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.
    23. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
    24. Lie-Fern Hsu & Jia-Tzer Hsu, 2016. "Economic production quantity (EPQ) models under an imperfect production process with shortages backordered," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(4), pages 852-867, March.
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