关键词: 连锁门店选址, 配送中心选择, 联合决策, 商圈, 遗传算法

Abstract: With the concept of trade area, the joint decision-making problem for chain store location and distribution center selection is formulated, in the case of a variety of items and distribution centers. According to the special feature of the model, a suitable solving method is proposed. In this method, improved Huff model and aggregation-based clustering algorithm is firstly proposed to classify stores and determine the membership of each store and trade area. Then, targeting at the maximum of total profits of all trade area, a mixed-integer programming model is formulated. By means of nonlinear programming genetic algorithms, objective value of the model is obtained. Finally, an application example illustrates the effectiveness and feasibility of the proposed method.

Key words: chain store location, distribution center selection, joint decision-making, trade area, genetic algorithms