Journal of Zhejiang University SCIENCE A

, Volume 13, Issue 10, pp 782–798 | Cite as

Location optimization of multiple distribution centers under fuzzy environment

  • Yong Wang
  • Xiao-lei Ma
  • Yin-hai Wang
  • Hai-jun Mao
  • Yong Zhang
Article
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Abstract

Locating distribution centers optimally is a crucial and systematic task for decision-makers. Optimally located distribution centers can significantly improve the logistics system’s efficiency and reduce its operational costs. However, it is not an easy task to optimize distribution center locations and previous studies focused primarily on location optimization of a single distribution center. With growing logistics demands, multiple distribution centers become necessary to meet customers’ requirements, but few studies have tackled the multiple distribution center locations (MDCLs) problem. This paper presents a comprehensive algorithm to address the MDCLs problem. Fuzzy integration and clustering approach using the improved axiomatic fuzzy set (AFS) theory is developed for location clustering based on multiple hierarchical evaluation criteria. Then, technique for order preference by similarity to ideal solution (TOPSIS) is applied for evaluating and selecting the best candidate for each cluster. Sensitivity analysis is also conducted to assess the influence of each criterion in the location planning decision procedure. Results from a case study in Guiyang, China, reveals that the proposed approach developed in this study outperforms other similar algorithms for MDCLs selection. This new method may easily be extended to address location planning of other types of facilities, including hospitals, fire stations and schools.

Key words

Multiple distribution centers Location selection Clustering algorithm Axiomatic fuzzy set (AFS) Technique for order preference by similarity to ideal solution (TOPSIS) 

CLC number

U121 
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Copyright information

© Zhejiang University and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Yong Wang
    • 1
  • Xiao-lei Ma
    • 2
  • Yin-hai Wang
    • 2
  • Hai-jun Mao
    • 1
  • Yong Zhang
    • 1
  1. 1.School of TransportationSoutheast UniversityNanjingChina
  2. 2.Department of Civil and Environmental EngineeringUniversity of WashingtonSeattleUSA

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