RETRACTED: A fuzzy multi-objective immune genetic algorithm for the strategic location planning problem (Retracted Article)

被引：9
作者：
Zhao, Xiao [1 ,3 ]
Xia, Xuhui [1 ]
Wang, Lei [1 ,2 ]
Cao, Jianhua [1 ,2 ]
机构：
[1] Wuhan Univ Sci & Technol, Minist Educ, Key Lab Met Equipment & Control Technol, Wuhan 430000, Hubei, Peoples R China
[2] Wuhan Univ Sci & Technol, Ctr Serv Sci & Engn, Wuhan 430000, Hubei, Peoples R China
[3] Hubei Univ Arts & Sci, Sch Mech Engn, Xiangyang 430062, Hubei, Peoples R China
来源：
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Supply chain; Location; Fuzzy trapezoidal fuzzy numbers; Intuitionistic fuzzy sets; Immune genetic algorithm; DECISION-MAKING; NETWORK; DESIGN; SELECT; TOPSIS; MODEL;
D O I：
10.1007/s10586-018-2212-1
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：S3621 / S3641
页数：21
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