Abstract
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.
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Acknowledgements
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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This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s10586-022-03546-x
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Zhao, X., Xia, X., Wang, L. et al. RETRACTED ARTICLE: A fuzzy multi-objective immune genetic algorithm for the strategic location planning problem. Cluster Comput 22 (Suppl 2), 3621–3641 (2019). https://doi.org/10.1007/s10586-018-2212-1
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DOI: https://doi.org/10.1007/s10586-018-2212-1