上海交通大学学报

上海交通大学学报（自然版） ›› 2017, Vol. 51 ›› Issue (2): 237-.

• 交通运输 • 上一篇    下一篇

基于损失规避的报童决策偏差形成机制

庄河1，张光远1，丁小东1,2，鲁工圆1，龚迪1，黄修莉1   

  1. 1. 西南交通大学 交通运输与物流学院， 综合交通运输智能化国家地方联合工程实验室， 成都 610031；
    2. 中国铁道科学研究院 运输及经济研究所， 北京 100081
  • 出版日期:2017-02-28 发布日期:2017-02-28
  • 基金资助:

    中央高校基本科研业务费专项资金项目（26816WTD23）资助

Formation Mechanism of Newsvendor Decision Bias Based on Loss Averse

ZHUANG He1,ZHANG Guangyuan1,DING Xiaodong1,2 LU Gongyuan1,GONG Di1,HUANG Xiuli1   

  1. 1. School of Transportation and Logistics; Nation and Region Combined Engineering Laboratory of
     Intelligentizing Integrated Transportation, Southwest Jiao Tong University, Chengdu 610031, China;
    2. Transportation and Economics Research Institute, China Academy of Railway Sciences,
     Beijing 100081, China
  • Online:2017-02-28 Published:2017-02-28

摘要：

 在损失规避模型的基础上，引入缺货规避偏差因素对经典报童模型进行修正，构建了缺货惩罚条件下损失规避的最优报童订购模型，同时，基于Microsoft VFP平台设计库存决策行为实验对模型进行验证.结果表明：在高利润、均衡利润和低利润产品中，决策者的缺货惩罚系数依次减小，且均衡利润产品中的损失规避报童订购量等于风险中性的报童订购量；高利润产品中的损失规避报童订购量小于风险中性的报童订购量；而低利润产品中的损失规避报童订购量大于风险中性的报童订购量.

关键词: 库存决策行为, 损失规避, 缺货规避, 报童模型, 报童决策偏差

Abstract:

Based on loss averse model, this paper introduces stockout averse  to modify the classic newsvendor model, and constructs newsvendor model with loss averse under stockout punishing. At the same time, the paper designs behavior experiments to verify the new model based on Microsoft VFP. As shown in the results, stockout penalty coefficient decreases with product profit. In highprofit product, decision maker with loss reverse will order more than the risk neutral decision maker. In lowprofit product, decision maker with loss reverse will order less than the risk neutral decision maker. However, the order quantity is equal within the balanceprofit product.

Key words: inventory decision behavior, loss averse, stockout averse, newsvendor model, newsvendor decision bias

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