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
计量
- 文章访问数: 679
- HTML全文浏览量: 129
- PDF下载量: 732
- 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

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

HTML全文

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。

下载: 导出CSV

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

下载: 导出CSV

参考文献(8)

[1]	周根贵, 沈雁飞. 基于时间满意度的物流配送中心选址问题研究[J]. 浙江工业大学学报, 2008, 36(4): 355-358. https://www.cnki.com.cn/Article/CJFDTOTAL-ZJGD200804002.htm ZHOU Gen-gui, SHEN Yan-fei. Research on logistics siting problemin logistic distribution center based on ti me satisfaction[J]. Journal of Zhejiang University of Technology, 2008, 36(4): 355-358. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZJGD200804002.htm
[2]	宣登殿, 胡大伟, 蔺宏良. 基于GIS的城市物流配送系统规划方法[J]. 长安大学学报: 自然科学版, 2006, 26(2): 84-87. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200602020.htm XUAN Deng-dian, HU Da-wei, LI N Hong-lang. Planning method of city logistics delivery system based on GIS[J]. Journal of Chang an University: Natural Science Edition, 2006, 26(2): 84-87. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200602020.htm
[3]	李卫江, 郭晓汾, 张毅, 等. 基于Matlab优化算法的物流中心选址[J]. 长安大学学报: 自然科学版, 2006, 26(3): 76-79. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200603019.htm LI Wei-jiang, GUO Xiao-fen, ZHANG Yi, et al. Logistics center location based on Matlab opti mization algorithm[J]. Journal of Chang'an University: Natural Science Edition, 2006, 26(3): 76-79. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200603019.htm
[4]	章海峰, 郝春艳, 杨超. 带三重容量限制的中转物流选址-分配模型[J]. 管理工程学报, 2008, 22(1): 62-66. https://www.cnki.com.cn/Article/CJFDTOTAL-GLGU200801012.htm ZHANG Hai-feng, HAO Chun-yan, YANG Chao. Location allocation problem of transfer logistics with three capacity constraints[J]. Journal of Industrial Engineering and Engineering Management, 2008, 22(1): 62-66. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GLGU200801012.htm
[5]	褚方鸿, 江宏. 海尔物流: 不断增强的核心竞争力[J]. 物流技术与应用, 2005, 10(7): 58-64. https://www.cnki.com.cn/Article/CJFDTOTAL-WLJY200507004.htm CHU Fang-hong, JI ANG Hong. Haier logistics: keep enhancingits core competence[J]. Logistics and Material Handling, 2005, 10(7): 58-64. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WLJY200507004.htm
[6]	陈立周, 于晓红, 翁海珊. 基于随机优化的工程稳健设计[J]. 北京科技大学学报, 1999, 21(1): 57-59. https://www.cnki.com.cn/Article/CJFDTOTAL-BJKD199901016.htm CHEN Li-zhou, YU Xiao-hong, WENG Hai-shan. Robust engineering design by stochastic optimization[J]. Journal of University of Science and Technology Beijing, 1999, 21(1): 57-59. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-BJKD199901016.htm
[7]	刘宝碇, 赵瑞清. 不确定规划及进一步的研究问题[J]. 指挥技术学院学报, 1999, 10(6): 102-105. https://www.cnki.com.cn/Article/CJFDTOTAL-XYZH199906024.htm LI U Bao-ding, ZHAO Rui-qing. Uncertain programming and further research problems[J]. Journal of Institute of Command and Technology, 1999, 10(6): 102-105. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XYZH199906024.htm
[8]	田青. 离散制造企业物流网络设计方法研究[D]. 天津: 天津大学, 2003. TI AN Qing. Astudy on the approaches to logistics network design for discrete manufacturing enterprises[D]. Tianjin: Tianjin University, 2003. (in Chinese)