企业物流中心稳健性选址模型

周爱莲; 李旭宏; 毛海军

doi:10.19818/j.cnki.1671-1637.2010.01.011

企业物流中心稳健性选址模型

doi: 10.19818/j.cnki.1671-1637.2010.01.011

1.
长沙理工大学交通运输工程学院, 湖南长沙 410004
2.
东南大学交通学院, 江苏南京 210096

基金项目:

湖南省教育厅科研基金项目 05C250

详细信息

作者简介:
周爱莲(1972-), 女, 安徽青阳人, 长沙理工大学副教授, 工学博士, 从事物流系统规划与管理研究

中图分类号: U491.12
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- 被引次数: 0
出版历程
- 收稿日期: 2009-09-18
- 刊出日期: 2010-02-25

Robusth location model of enterprise logistics center

1.
School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410004, Hunan, China
2.
School of Transportation, Southeast University, Nanjing 210096, Jiangsu, China

More Information

Author Bio:
ZHOU Ai-lian(1972-), female, associate professor, PhD, +86-731-85258575, zdzlotus@163.com

Article Text (Baidu Translation)

摘要

摘要: 借鉴稳健设计的基本思想, 运用随机机会约束规划方法, 建立了需求和制造中心加工量不确定条件下的企业分销物流中心的稳健性选址模型, 该模型通过将不确定条件下选址分派费用的波动均方差融入目标函数以实现选址稳健性目标。分析了该类模型的处理方法, 探讨了基于组合遗传算法的模型求解思路, 并通过算例进行了验证。分析结果表明: 与普通模型相比, 该模型在整个规划期内选址分派费用的波动均方差降低31.5%, 物流网络稳健性显著提高, 该模型合理有效。
- 企业物流中心 /
- 选址模型 /
- 机会约束规划 /
- 组合遗传算法
Abstract: Based on the idea of robust design and stochastic chance constrained programming mehtod, a robust location model of enterprise distribution logistics centers was constructed under the uncertain conditions of customer's demand and manufacture center's processing amount, and the standard error of location allocating cost was integrated into object function to achieve robust location. The solving method of the model was discussed, and the programming thinking based on combination genetic algorithm was expounded. The model and its algorithm were validated by an example. Analysis result indicates that compared with normal model, the standard error of robust location model allocating cost reduces by 31.5%, and logistics network robustness enhances evidently, so the model is rational and valid.
- enterprise logistics center /
- location model /
- chance constrained programming /
- combination genetic algorithm

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图 1 企业分销物流拓扑结构

Figure 1. Topology structure of enterprise distribution logistics

下载: 全尺寸图片幻灯片

图 2 GA₁编码

Figure 2. Coding of GA₁

下载: 全尺寸图片幻灯片

图 3 GA₂编码

Figure 3. Coding of GA₂

下载: 全尺寸图片幻灯片

表 1 节点数据

Table 1. Node data

参数	加工量λ_h/(件·d^-1)	需求λ_i/(件·d^-1)	纬度	经度	固定设施费用/元	流转费率/(元·件^-1)
制造中心1	3 198		116.17	39.37
制造中心2	2 153		119.65	31.56
需求地1		369	116.47	39.90	330 439	2.45
需求地2		180	123.38	41.80
需求地3		82	125.30	43.92
⋮
需求地32		84	117.03	31.85
注: 节点间距离可通过经纬度数据换算获得。

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表 2 求解结果比较

Table 2. Comparison of sloving results

模型	普通模型	稳健性模型
选址方案	1、11、20、27	1、11、19、27
目标值/元	26 262 434.878 1	26 350 801.295 1
总费用/元	26 260 578.145 6	26 349 529.162 8
分派费用的波动均方差/元	1 856.732 5	1 272.132 3

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