系统管理学报

系统管理学报 ›› 2021, Vol. 30 ›› Issue (6): 1160-1167.DOI: 10.3969/j.issn.1005-2542.2021.06.012

• 工业工程与工程管理 • 上一篇    下一篇

考虑产品组合的零售门店选址模型

苏凯，陈亚静   

  1. 1.南京大学 历史学院，南京 210023；2. 上海交通大学 安泰经济与管理学院，上海 200030
  • 出版日期:2021-11-28 发布日期:2021-12-16
  • 通讯作者: 陈亚静（1993-），女，博士生
  • 作者简介:苏凯（1977-），男，博士生。研究方向为中国近现代史

Optimization Model of Retail Store Location Considering Product Assortment

SU Kai, CHEN Yajing   

  1. 1. School of History, Nanjing University, Nanjing 210023, China; 2. Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China
  • Online:2021-11-28 Published:2021-12-16

PDF

摘要： 选址是影响实体门店长期发展的重要因素，选品个数是决定实体门店销量的关键因素，基于此，研究考虑选品个数的实体门店选址问题。首先，建立了以所有门店总利润最大化为上层目标和以顾客满意度最大为下层目标的双层规划模型。随后，设计了遗传算法求解该双层规划问题，从而得到问题的近似最优解。最后，以中国某家居公司为例验证了模型的可行性。计算结果表明，企业采用考虑产品组合的选址方案可以获得较高的利润，且本文的遗传算法拥有良好的计算效率和收敛速度。

关键词: 双层规划, 选址, 遗传算法, 产品组合

Abstract: While location is an important factor affecting the long-term development of the physical stores, assortment is a key factor determining physical store sales. This paper studies the location of physical stores considering assortment. First, it establishes a bi-level planning model with maximizing the total profit of all stores as the upper-level goal and maximizing customer satisfaction as the lower-level goal. Subsequently, it designs a genetic algorithm to solve the bi-level programming problem in order to obtain the approximate optimal solution of the problem. Finally, it takes a Chinese home-furnishing company as an example to verify the feasibility of the model. The results show that the company can obtain higher profits by adopting the location plan considering the product assortment, and the genetic algorithm has a good calculation efficiency and convergence speed.

Key words: bi-level programming, location, genetic algorithm, assortment

中图分类号: