基于风险规避因素的物流配送定价模型研究  

Study on Logistics Distribution Pricing Model Based on Factors of Risk Aversion

作　　者：崔双吉[1] 

机构地区：[1]河北金融学院,河北保定071051

出　　处：《物流技术》2013年第11期287-290,共4页Logistics Technology

基　　金：河北省社会科学基金项目(HB12YJ013)

摘　　要：为了避免传统算法的弊端,提出一种考虑风险规避因素的物流配送定价模型。利用BP神经网络方法,对物流配送过程中的风险因素进行评估,从而为风险规避提供准确的数据基础。首先建立物流配送定价模型,引入一种分散差别定价算法,然后在考虑估计风险的基础上,根据物流配送距离和物流配送难度确定物流配送价格,完成物流配送过程中的定价。实验结果表明,利用该模型进行物流配送定价,能够避免配送过程中的风险,提高物流运输的合理性,取得了令人满意的结果,从而满足物流产业的实际需求。In this paper we used BP neural network to evaluate the risk factors in the logistics distribution process so as to provide a solid data foundation for the aversion of the risks. First we established the logistics distribution pricing model, introduced a distributed differential pricing algorithm, and then on the basis of the consideration of the estimated risks, finished the pricing of the logistics distribution process. The result of an experiment showed that this model could yield satisfactory result in avoiding risks in the distribution process and improving the effectiveness of logistics transportation.

关 键 词：风险规避 定价模型 物流配送 

分 类 号：F252.14[经济管理—国民经济]