考虑损失规避零售商的多期多产品供应链网络均衡
[Abstract]:Supply chain is a complex network with hierarchical structure, including manufacturer layer, retailer layer and demand market layer. In order to describe the dynamic characteristics of the supply chain network, this paper divides the decision time discretization into multiple planning periods, and the decision environment of all members is relatively stable in the same planning period; on the contrary, it may change between different planning periods. Manufacturers produce many types of products and retailers face a random demand environment and are loss averse. The loss avoidance behavior of retailers is described by using foreground theory, and the relationship between adjacent planning periods is described by the inventory transfer of manufacturers. By using variational inequalities, duality theory and complementarity theory, the optimal decision behaviors of manufacturer, retailer and demand market are described, and the equilibrium conditions of the whole supply chain network are derived. A modified projection algorithm is designed to solve the model. The characteristics of retailer's break-even point are illustrated by an example, and the influence of loss avoidance coefficient on the optimal decision of supply chain network enterprises is analyzed. The results show that: with the increase of loss avoidance coefficient, the first break-even point of retailer decreases and the second break-even point increases; The retailer's order volume decreases, its expected profit and expected utility increase, on the contrary, manufacturers and consumers' interests are damaged; With the increase of shortage cost, retailers need to order more products from manufacturers to avoid shortage loss, but this also increases the risk of overordering and unsalable. When the loss avoidance coefficient of retailers changes in a certain period, retailers and manufacturers should adjust their strategies throughout the planning period.
【作者单位】: 青岛大学管理科学与工程学院;俄罗斯科学院;北京师范大学政府管理学院;
【基金】:国家自然科学基金资助项目(71371102) 山东省自然科学基金项目(ZR2012GM002)
【分类号】:F274;F713.32
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