Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33452
Title: A credibility-based fuzzy location model with Hurwicz criteria for the design of distribution systems in B2C e-commerce
Authors: Lau, HCW
Jiang, ZZ
Ip, WH 
Wang, D
Keywords: B2C e-commerce
Credibility measure
Fuzzy location model
Fuzzy programming
Logistics
Meta-heuristics
Issue Date: 2010
Publisher: Pergamon Press
Source: Computers and industrial engineering, 2010, v. 59, no. 4, p. 873-886 How to cite?
Journal: Computers and industrial engineering 
Abstract: Facility location problem is one of the most critical elements in the design of distribution systems, and numerous studies have focused on this issue. However, facility location theory and guidelines for B2C firms are sparse. In this paper, with regard to the customer characteristics peculiar to B2C e-commerce and the turbulence of the competitive market, a new fuzzy location model is proposed to optimize the distribution system design in B2C e-commerce. The model adopts a hierarchical agglomerative clustering method to classify customers and estimate the fuzzy delivery cost. At the same time, due to the turbulence of competitive market, both market supply and customer demand are treated as fuzzy variables in the model. Afterward, the credibility measure and Hurwicz criterion are introduced to convert the model into a crisp one which has NP-hard complexity. In order to solve the crisp model, an improved genetic algorithm with particle swarm optimization is developed. Finally, the computational results of some numerical examples are used to illustrate the application and performance of the proposed model and algorithm.
URI: http://hdl.handle.net/10397/33452
ISSN: 0360-8352
EISSN: 1879-0550
DOI: 10.1016/j.cie.2010.08.018
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