Effects of higher order moments on the newsvendor problem

Qi Sun, Yucheng Dong and Weidong Xu

International Journal of Production Economics, 2013, vol. 146, issue 1, 167-177

Abstract: In this paper, we propose a stochastic programming model for the well-known single-period newsvendor problem by adopting the conditional Value-at-Risk (CVaR) as the risk metric in the objective function. The demand uncertainty is modeled in terms of discrete scenarios that reflect the empirical distributions implied by market demand data. Our numerical results demonstrate that the higher order moments (skewness and kurtosis) of demand have obvious effects on the newsvendor problem, and the stochastic programming framework provides a flexible and effective decision support tool for the newsvendor problem.

Keywords: Stochastic programming; Newsvendor problem; Conditional value-at-risk; Moment matching (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:146:y:2013:i:1:p:167-177

DOI: 10.1016/j.ijpe.2013.06.019

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