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有配送能力限制的易腐农产品配送中心选址方法
引用本文:狄卫民,岳耀雪,陈国民. 有配送能力限制的易腐农产品配送中心选址方法[J]. 计算机应用研究, 2013, 30(1): 202-205
作者姓名:狄卫民  岳耀雪  陈国民
作者单位:1. 河南农业大学 经济与管理学院, 郑州 450002; 2. 郑州大学 管理工程系, 郑州 450001; 3. 山东理工职业学院 a. 机电工程学院; b. 工商管理学院, 山东 济宁 272067
基金项目:国家教育部人文社会科学研究青年基金资助项目(10YJC630041); 河南省教育厅自然科学研究计划资助项目(2011B630018)
摘    要:为提高物流管理绩效,考虑到农产品的易腐败特征和配送中心的配送能力限制,建立了易腐农产品配送中心选址问题的0-1整数非线性规划模型。利用该模型可以确定配送中心的开设位置、各配送中心与用户之间的配送关系,以及配送途中的农产品损耗量。为求解该模型,提出了嵌入改进表上作业法的混合遗传算法,给出了算法的实现步骤。最后通过算例,验证了模型和算法的有效性。

关 键 词:物流管理  配送中心  选址问题  0-1整数非线性规划  混合遗传算法

Capacitated distribution center location approach for perishable agricultural product
DI Wei-min,YUE Yao-xue,CHEN Guo-min. Capacitated distribution center location approach for perishable agricultural product[J]. Application Research of Computers, 2013, 30(1): 202-205
Authors:DI Wei-min  YUE Yao-xue  CHEN Guo-min
Affiliation:1. College of Economics & Management, Henan Agricultural University, Zhengzhou 450002, China; 2. Dept. of Management Engineering, Zhengzhou University, Zhengzhou 450001, China; 3. a. School of Mechanical & Electronic Engineering, b. School of Business Administration, Shandong Polytechnic Vocational College, Jining Shandong 272067, China
Abstract:In order to improve logistics management performance, by considering the spoilage trait of agricultural product and the capacity limit of distribution center, this paper developed a 0-1 integer nonlinear programming model for the location problem of perishable agricultural product distribution center. With the help of the model, the following items could be determined, such as the site of the opening distribution center, the relation of distribution center to consumer, even the decay loss on the distribution way. To solve the model, it presented a hybrid genetic algorithm embedded with modified table-working ope-rations, and introduced its realization steps. Finally, it verified effectiveness of the model and its algorithm by several instances.
Keywords:logistics management   distribution center   location problem   0-1 integer nonlinear programming   hybrid genetic algorithm
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