考虑退货可再销售的情况下,应用条件风险价值(CVaR),构建纳入不同风险偏好的报童模型,并给出了不同环境下的最优订货量.通过解析和数值仿真,进一步分析了决策者的风险偏好水平、产品退货率以及残值对最优订货量决策的影响.研究结果表明:最优订货量随着决策者风险追逐偏好水平的增加而增加,随着风险规避偏好水平的增加而减小;最优订货量随着退货率的增加而减小,随着产品残值的增加而增加.结合订货决策的实际特点,给出了不同环境下的最优订货量,为决策者提供了全面且动态的决策建议.
Considering resalable returns, we employ CVaR to develop the newsvendor model that incorporates different risk preferences. By taking numerical simulations, we analyze the effects of risk preferences, return rates and residual value of products on the optimal ordering decisions. The results show that the optimal ordering quantity increases with the level of risktaking, but decrease with the level of risk-averse. The optimal ordering quantity decreases with the increase of return rates, but increases with residual values of products.