具有损失规避零售商的供应链网络均衡研究

发布时间：2018-07-29 05:48

【摘要】：众所周知,供应链网络已成为当今社会经济活动的主体。在此网络环境下,经济社会的高速发展,使得消费者个性化需求不断增强,产品更新速度不断提高,进而导致市场需求的波动性越来越大。而面对这不确定市场需求环境时,网络成员常常表现为损失规避行为。为此,本文将损失规避行为纳入到供应链网络均衡模型巾,研究不确定需求市场环境下具有损失规避零售商的网络均衡问题。其主要研究内容总结如下： 1)将损失规避行为纳入到供应链网络均衡中,针对随机需求市场环境,分别研究了损失规避零售商处无缺货成本与有缺货成本的网络均衡问题。运用分段线性函数刻画了零售商损失规避行为,并借助变分不等式理论,描述了网络成员的最优行为,给出了网络均衡模型。 2)针对损失规避供应链网络,将单渠道网络拓展到传统渠道与电子商务渠道并存的双渠道网络均衡模型。 3)考虑到市场需求信息的模糊性,构建了具有损失规避零售商的模糊网络均衡模型,并数值分析了需求模糊性与损失规避系数对网络成员最优行为的影响。
[Abstract]:As we all know, supply chain network has become the main body of social and economic activities. In this network environment, with the rapid development of economy and society, the individualized demand of consumers is increasing, and the speed of product renewal is increasing, which leads to more and more volatility of market demand. Faced with this uncertain market demand environment, network members often behave as loss-aversion behavior. Therefore, in this paper, loss aversion behavior is incorporated into the supply chain network equilibrium model, and the problem of network equilibrium for retailers with loss aversion in uncertain demand market environment is studied. The main research contents are summarized as follows: 1) taking loss aversion behavior into supply chain network equilibrium, aiming at random demand market environment, In this paper, the problem of network equilibrium between non-stock-out cost and non-stock-out cost in loss aversion retailer is studied respectively. By using piecewise linear function, the loss evading behavior of retailers is described. With the help of variational inequality theory, the optimal behavior of network members is described, and the network equilibrium model is given. The single channel network is extended to the dual channel network equilibrium model which coexists with the traditional channel and the electronic commerce channel. 3) considering the fuzziness of the market demand information, the fuzzy network equilibrium model with loss aversion retailer is constructed. The effects of demand fuzziness and loss avoidance coefficient on the optimal behavior of network members are analyzed numerically.
【学位授予单位】：青岛大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F274;F713.32

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