The retail stores´ competitive location problem with retail regional saturation

Author

Yang, Jun ; Yang, Chao

Author_Institution

Dept. of Manage. Sci., Huazhong Univ. of Sci. & Technol., Wuhan, China

Volume

2

fYear

2005

fDate

13-15 June 2005

Firstpage

1511

Abstract

The retail stores location decision is vital for the retail management. Competitive facility location models seek the best location(s) for one or more new competing facilities that maximize the market share captured by the facilities. This paper studies a new competitive location problem with retail regional saturation. This article first analyze the effective factors: rule of gravitation and retail regional saturation, then formulate the retail stores´ competitive location model with retail regional saturation. The max-min ant algorithm to solve this model is developed and computational experiment is described.

Keywords

facility location; minimax techniques; modelling; retailing; competing facilities best location; competitive facility location model; competitive location problem; computational experiment; gravitation rule; market share maximization; max-min ant algorithm; retail management; retail regional saturation; retail stores competitive location; retail stores location decision; Chaos; Consumer behavior; Economic forecasting; Government; Gravity; Probability distribution; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Services Systems and Services Management, 2005. Proceedings of ICSSSM '05. 2005 International Conference on

Print_ISBN

0-7803-8971-9

Type

conf

DOI

10.1109/ICSSSM.2005.1500252

Filename

1500252