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The expectation-based loss-averse newsvendor under supply uncertainty

机译:基于期望的损失 - 厌恶新闻国供给不确定性

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We extend the expectation-based loss-averse newsvendor model according [1] by assuming that decision maker confronts deterministic demand and uncertain supply at the beginning of a selling season. We show with numerical study that the higher the penalty coefficient, the lower the optimal order quantity. Higher retail price and salvage value lead to optimally order more. However, when the wholesale price increases, the optimal order quantity decreases.
机译:我们通过假设决策者在销售季节开始时,决策者面临确定性需求和不确定的供应来扩展基于期望的损失的厌恶新闻温度模型。我们展示了数值研究,惩罚系数越高,最佳顺序量越低。零售价格较高,救助价值导致更多地订购更多。但是,当批发价格上涨时,最佳阶数减少。

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