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The expectation-based loss-averse newsvendor under supply uncertainty

机译:供应不确定性下基于期望的规避损失的新闻供应商

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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:通过假设决策者在销售旺季开始时面临确定性需求和不确定供应,我们根据[1]扩展了基于期望的避免损失的新闻售货员模型。通过数值研究表明,惩罚系数越高,最优订货量越低。较高的零售价和残值可带来更多的最佳订货量。但是,当批发价格上涨时,最佳订购数量会减少。

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