小规模在线零售商联合定价与分类优化的Stackelberg博弈论方法:以卖方-买方供应链为例

Z. Saberi, O. Hussain, Morteza Saberi, Elizabeth Chang
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引用次数: 1

摘要

分类计划是在线零售商最基本、最复杂的决策之一。在分类规划中,考虑到需求和供应的不确定性,这一问题的复杂性日益增加。然而,在当今不确定的市场中,这会带来更有效的结果。本文采用非合作博弈论模型对供应商和电子零售商之间的相互作用进行建模。与实体店相比,小型在线零售商在供应商面前的影响力通常较低,因此我们提出一个Stackelberg或领导者-追随者博弈模型。首先,作为领导者的供应商向电子零售商宣布其关于销售价格的决定。因此,电子零售商通过确定购买数量、销售价格和分类大小来做出反应。提出并分析了不同的场景,以证明Stackelberg博弈模型在模拟小型在线零售商与强大供应商之间的互动方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stackelberg Game-Theoretic Approach in Joint Pricing and Assortment Optimizing for Small-Scale Online Retailers: Seller-Buyer Supply Chain Case
Assortment planning is one of the fundamental and complex decisions for online retailers. The complexity of this problem is increasing while considering demand and supply uncertainties in assortment planning (AP). However, this leads to more efficient results in today's uncertain markets. In this paper, the supplier and E-tailer interactions are modeled by the non-cooperative game theory model. As small-scale online retailers opposed to bricks and mortar usually have lower power in front of suppliers, we propose a Stackelberg or leader-follower game model. First, the supplier as a leader announces its decisions regarding selling price to the E-tailer. Consequently, the E-tailer reacts by determining the purchase quantity, selling price to the customers and assortment size. Various scenarios are presented and analyzed to show the effectiveness of the Stackelberg game model in simulating the interactions between small-scale online retailers and a powerful supplier.
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