[1]毛海军,王勇,杭文,等.基于模糊聚类算法的多配送中心选址优化方法[J].东南大学学报(自然科学版),2012,42(5):1006-1011.[doi:10.3969/j.issn.1001-0505.2012.05.037]
 Mao Haijun,Wang Yong,Hang Wen,et al.Optimization method of multi-distribution center location based on fuzzy clustering algorithm[J].Journal of Southeast University (Natural Science Edition),2012,42(5):1006-1011.[doi:10.3969/j.issn.1001-0505.2012.05.037]
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基于模糊聚类算法的多配送中心选址优化方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
42
期数:
2012年第5期
页码:
1006-1011
栏目:
交通运输工程
出版日期:
2012-09-20

文章信息/Info

Title:
Optimization method of multi-distribution center location based on fuzzy clustering algorithm
作者:
毛海军1 王勇1 杭文1 于航2 何杰1
1 东南大学交通学院,南京 210096; 2 哈尔滨工业大学管理学院, 哈尔滨150001
Author(s):
Mao Haijun1 Wang Yong1 Hang Wen1 Yu Hang2 He Jie1
1 School of Transportation,Southeast University,Nanjing 210096,China
2 School of Management, Harbin Institute of Technology, Harbin 150001, China
关键词:
物流网络 多配送中心 三角模糊数 模糊聚类算法
Keywords:
logistics network multi-distribution centers triangular fuzzy number fuzzy clustering algorithm
分类号:
U492.3
DOI:
10.3969/j.issn.1001-0505.2012.05.037
摘要:
为了优化二级设施物流网络中多配送中心的选址操作,提取了影响配送中心选址的主要因素,建立了一种综合评价指标体系.首先,将语言变量值用三角模糊数表示,对备选配送中心进行综合评价; 然后,采用区间数优度函数法将二级准则指标集成到一级准则指标上,以集成后的方案评价指标值作为模糊聚类算法的输入进行聚类操作,并设计了聚类有效性指标以用于判断聚类结果合理性; 最后,应用TOPSIS方法对各类内的备选址进行排序,以确定选址位置及数量.实例验证表明,当隶属度数值取0.740 2时,得到最小的聚类有效性指标为2.43.依据该操作可将备选配送中心分成4类进行逐类选址,选址结果合理且较其他方法更具有优越性.因此,该方法能够更有效地解决多配送中心选址问题.
Abstract:
To optimize multi-distribution center location operation in two-level facilities logistics network, the main influential factors on locating distribution centers are extracted, and a comprehensive evaluation index system is set up. Firstly, the linguistic variables are represented by triangular fuzzy number to implement a comprehensive evaluation for candidate distribution centers. Secondly, the interval number priority degree function method is adopted to integrate the criteria index into the first criteria index, and the integrated project evaluation index value is used as the input of fuzzy clustering algorithm for clustering operation. The clustering validity index is designed to analyze the rationality of clustering results. Finally, the technique for order preference by similarity to ideal solution(TOPSIS)method is used to rank the candidate distribution centers within the clustering unit, and the locations and quantities of distribution centers are determined. The results of an application example show that when the membership function value is 0.740 2, the clustering validity index gets the smallest value 2.43.The operation can divide the candidate distribution centers into four clusters and select the distribution center location in each cluster, making the location results reasonable and more advantageous than other methods. Therefore, the proposed method is more effective in addressing multi-distribution center location problem.

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相似文献/References:

[1]毛海军,芮维娜,李旭宏.基于不确定条件的再制造物流网络优化设计[J].东南大学学报(自然科学版),2010,40(2):425.[doi:10.3969/j.issn.1001-0505.2010.02.040]
 Mao Haijun,Rui Weina,Li Xuhong.Optimal design of logistics network for remanufacturing under uncertainty[J].Journal of Southeast University (Natural Science Edition),2010,40(5):425.[doi:10.3969/j.issn.1001-0505.2010.02.040]

备注/Memo

备注/Memo:
作者简介: 毛海军(1965—),男,博士,教授,博士生导师, maohaijun@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(51078087)、教育部博士点基金资助项目(200802861017).
引文格式: 毛海军,王勇,杭文,等.基于模糊聚类算法的多配送中心选址优化方法[J].东南大学学报:自然科学版,2012,42(5):1006-1011. [doi:10.3969/j.issn.1001-0505.2012.05.037]
更新日期/Last Update: 2012-09-20