主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院
Articles

The Research of Newsvendor Problem based on Expectation

Expand
  • 1. ChangZhou Institute Of Technology, ChangZhou 213022, China;
    2. School of Business Administration, HoHai University, ChangZhou 213022, China

Received date: 2016-09-03

  Revised date: 2017-07-20

  Online published: 2018-05-24

Abstract

Newsvendor problem is a basic problem in the stochastic inventory theory, and has been widely studied and used in operations management. The classical newsvendor problem is based on the assumption that the newsvendor is risk-neutral, which means the newsvendor will choose an order quantity that can maximize his expected profit. However, the empirical results show that the actual order quantity often deviates from the optimal order quantity of the classical newsvendor problem. Moreover, most empirical results also show that the newsvendor tends to order less goods than the classical newsvendor problem. To explain this phenomenon, the paper intends to study the newsvendor problem using the Koszegi and Rabin's reference-dependent preference theory. Koszegi and Rabin thought that the reference point is often determined by the decision-maker's rational expectation. In the paper, the newsvendor's rational expectation is used as his reference point. Thus, the newsvendor's reference point is changed from a constant to a random variable, which is more in line with decision maker's decision behavior. The research results show that optimal order quantity of the newsvendor problem based on expectation does exit and is unique. The optimal order quantity is not only related with the probability distribution of goods, sales price, the salvage and other factors, but also related to the degree of the newsvendor's loss aversion. The order quantity of newsvendor based on expectation will increase as the sales price or the salvage increases, but will decrease as the acquisition cost increases. Specially, if the newsvendor is loss aversive, order quantity of newsvendor is less than the order quantity of classical newsvendor problem; conversely, order quantity of newsvendor is greater than the order quantity of classical newsvendor problem. The conclusion is consistent with the most empirical results. New insights into the newsvendor problem are offered by using the newsvendor's rational expectation as his reference point. The research on newsvendor problem can also be carried out in the following aspects. On one hand, it is worthwhile to choose other reference points and discuss the newsvendor problem with these reference points. On other hand, it is clearly that the newsvendor is closely related to decision theory. In recent decades, with the new decision theory especially the risk decision theory emerging, it is a meaningful work to study the newsvendor problem with the new decision theory. In the end, an example is given to illustrate the correctness of the conclusions.

Cite this article

WEN Ping, PANG Qing-hua . The Research of Newsvendor Problem based on Expectation[J]. Chinese Journal of Management Science, 2018 , 26(3) : 109 -116 . DOI: 10.16381/j.cnki.issn1003-207x.2018.03.012

References

[1] Arrow K J, Harris T, Marschak J. Optimal inventory policy[J]. Econometrica, 1951, 19(2):250-272.

[2] 陈杰, 唐萍, 高腾. 带有多元马氏需求的多产品报童模型[J]. 中国管理科学, 2017, 25(2):57-67.

[3] 张永, 张卫国, 徐维军. 无统计信息假设下的多阶段报童决策[J]. 中国管理科学, 2015, 23(5):107-116.

[4] Eeckhoudt L, Gollier H. The risk-averse (and prudent) newsvendor[J]. Management Science, 1995, 41(1):786-794.

[5] Arikan E, Fichtinger J. The risk-averse newsvendor problem under spectral risk measures:A classification with extensions[J]. European Journal of Operational Research, 2017, 256(1):116-125.

[6] 文平. 损失厌恶的报童-预期理论下的报童问题新解[J]. 中国管理科学, 2005, 13(6):64-68.

[7] Kahneman D, Tversky A. Prospect theory:An analysis of decision under risk[J]. Econometrica,1979, 47(5):263-291.

[8] Tversky A, Kahneman D. Advances in prospect theory:Cumulative representation of uncertainty[J].Journal of Risk and Uncertainty,1992, 23(4):297-323.

[9] Tversky A, Kahneman D. Rational choice and the framing of decisions[J]. Journal of Business, 1986, 35(6):251-278.

[10] Gotoh J,Takano Y. Newsvendor solutions via conditional-value-at-risk minimization[J]. European Journal of Operational Research, 2007, 179(9):80-96.

[11] Wang C X,Webster S. The loss-averse newsvendor problem[J]. Omega, 2009, 37(4):93-105.

[12] Wang C X,Webster S, Suresh N C. Would a risk-averse newsvendor order less at a higher selling price?[J]. European Journal of Operational Research, 2009, 196(8):544-553.

[13] 曹兵兵, 樊治平, 尤天慧, 等. 考虑损失规避的温度敏感性产品定价与订货联合决策[J]. 中国管理科学, 2017, 25(4):60-69.

[14] Fabian H. The expectation-based loss-averse newsvendor[J].Economics Letters, 2013, 120(11):429-432.

[15] Xu Xinsheng, Meng Zhiqing, Shen Rui, et al. Optimal decisions for the loss-averse newsvendor problem under CVaR[J]. International Journal of Production Economics, 2015, 164(6):146-159.

[16] Vipin B, Amit R K. Loss aversion and rationality in the newsvendor problem under recourse option[J]. European Journal of Operational Research, 2017, 261(2):563-571.

[17] 刘作义,查勇. 行为运营管理:一个正在显现的研究领域[J]. 管理科学学报, 2009,12(4):64-74.

[18] 刘咏梅, 彭民, 李立. 基于前景理论的订货问题[J]. 系统管理学报, 2010, 19(5):481-490.

[19] 张艳霞, 赵晋, 霍佳震. 基于定常风险的报童问题风险分析. 中国管理科学, 2013, 21(S):485-494.

[20] 周艳菊, 应仁仁, 陈晓红. 基于前景理论的两产品报童问题研究[J]. 管理科学学报, 2013, 16(11):17-30.

[21] Köszegi B, Rabin M. Reference-dependent risk attitudes[J]. American Economic Review, 2007, 97(10):1047-1073.

[22] Köszegi B, Rabin M. A model of reference-dependent preferences[J]. Quarterly Journal of Economics, 2006, 121(7):1133-1165.

[23] Sprenger C. An endowment effect for risk:Experimental tests of stochastic reference points[J]. Journal of Political Economy, 2015, 123(6):1456-1499.

[24] Abeler J A. Reference points and effort provision[J]. The American Economic Review, 2011, 101(2):470-492.

[25] Ericson K M, Fuster A. Expectations as endowments:Evidence on reference-dependent preferences from exchange and valuation experiments[J].The Quarterly Journal of Economics,2011,126(4):1879-1907.
Outlines

/