Cluster Computing

, Volume 22, Supplement 2, pp 3621–3641 | Cite as

A fuzzy multi-objective immune genetic algorithm for the strategic location planning problem

  • Xiao Zhao
  • Xuhui Xia
  • Lei WangEmail author
  • Jianhua Cao


The distribution center (DC) location problem is one of the most important decisions for logistics systems. Owing to vague concept frequently represented in decision data, some new multiple criteria based decision-making model is proposed to solve the DC location problem with significant time-effectiveness under fuzzy environment. In the proposed model, we consider time penalty cost, operation cost, damage cost, infrastructure, market conditions, government policy, technical conditions and land resources from a comprehensive view. Meanwhile, trapezoidal fuzzy numbers are used to describe the delivery time window and the service level. Then, intuitionistic fuzzy sets and immune genetic algorithm are utilized to solve the model. Finally, a numerical example is presented to illustrate the effectiveness of the proposed approach.


Supply chain Location Fuzzy trapezoidal fuzzy numbers Intuitionistic fuzzy sets Immune genetic algorithm 



The first author wishes to acknowledge the financial support of the National Natural Science Foundation of China (Project No. 71471143), Center of Service Science and Engineering (Wuhan University of Science and Technology) Opening Foundation (Project No. CSSE2017KA04), and Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources (Wuhan University of Science and Technology) Opening Foundation (Project No. 2016zy013). Thanks for all the authors of the references who gives us inspirations and helps. The authors are grateful to the editors and anonymous reviewers for their valuables comments that improved the quality of this paper.


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Xiao Zhao
    • 1
    • 3
  • Xuhui Xia
    • 1
  • Lei Wang
    • 1
    • 2
    Email author
  • Jianhua Cao
    • 1
    • 2
  1. 1.Key Laboratory of Metallurgical Equipment and Control Technology (Wuhan University of Science and Technology)Ministry of EducationWuhanChina
  2. 2.Center of Service Science and EngineeringWuhan University of Science and TechnologyWuhanChina
  3. 3.School of Mechanical EngineeringHubei University of Arts and ScienceXiangyangChina

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