一带一路沿线配送中心选址模型

doi:10.13229/j.cnki.jdxbgxb20210343

摘要/Abstract

摘要：

为实现一带一路通道内物资的高效互通并带动沿线城市的经济发展，本文对一带一路沿线配送中心的选址进行了研究。考虑配送中心受城市间经济发展的吸引作用及投资运营成本因素，基于场论和拓扑结构定量化计算方法，建立了一带一路沿线配送中心选址效用函数，采用熵权法TOPSIS进行参数标定和计算，以效用最大化为优化目标求解最优化选址方案。结果表明：模型兼顾配送中心的拓扑吸引作用和对一带一路沿线多种运输方式的衔接作用，实现了总成本的最小化。本模型应用于一带一路沿线配送中心的选址，得到最优化的配送中心数量和位置布局，有利于完善一带一路沿线的运输网络布局，提高运输效率，降低运输成本，实现一带一路沿线各城市间的资源平衡和经济辐射，促进一带一路沿线区域的整体协同发展。

关键词: 物流工程, 配送中心, 经济辐射场, 网络拓扑结构, 一带一路

Abstract:

In order to achieve the efficient interchange and drive the economic development of cities along The Belt and Road， it is necessary to determine the optimal locations for distribution centers. Considering the attraction of the economic development between cities and the factors of investment and operation cost， the utility function for distribution center locating based on the field theory and topological analysis method is established. The parameters are calibrated by using the entropy weight method（Technique for order preference by similarity to an ideal solution，TOPSIS） and the optimal location scheme is determined with the utility maximization theory. The results indicate that the optimal locating scheme is determined with the model， by taking into account the attraction of topological transportation network and socio-economic as well as the minimum total cost. The proposed method can be applied to the siting of distribution centers， which is conducive to improving the transportation network layout， enhancing the transportation efficiency， reducing the transportation cost， advancing the resource balance and economic radiation between cities along The Belt and Road， and promoting the coordinated development of regions.

Key words: logistics engineering, distribution center, economic radiation field, network topology, the Belt and Road

中图分类号:

F252

宗芳,李宇暄,张慧永,高飞. 一带一路沿线配送中心选址模型[J]. 吉林大学学报(工学版), 2022, 52(11): 2592-2599.

Fang ZONG,Yu-xuan LI,Hui-yong ZHANG,Fei GAO. Logistics distribution center allocation model along the Belt and Road[J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(11): 2592-2599.

图/表 5

图1

表1

表2

图2

表3

参考文献 26

1	赵光辉. 交通服务物流产业发展及政府定位研究[J]. 物流技术, 2015, 34(20): 41-46.
	Zhao Guang-hui. Study on government positioning of transportation service and logistics industries[J]. Logistics Technology, 2015, 34(20): 41-46.
2	刘文波. 新时代提升中国"一带一路"倡议国际塑造力的进展与路径[J]. 吉林大学社会科学学报, 2020, 60(5): 151-159, 239.
	Liu Wen-bo. Developments and the route of lifting international shaping power of the Belt and Road initiative in the new era[J]. Jilin University Journal Social Sciences Edition, 2020, 60(5): 151-159, 239.
3	赵光辉. “一带一路”背景下我国交通物流通道布局战略研究[J]. 当代经济管理, 2016, 38(8): 55-64.
	Zhao Guang-hui. Study on the strategy of transportation logistics channel layout in china[J]. Contemporary Economy & Management, 2016, 38(8): 55-64.
4	宋炳良. 长江三角洲经济辐射力与东西部大通道[J]. 同济大学学报: 社会科学版, 2003, 14(1): 96-100.
	Song Bing-liang. The Yangtse Delta' s economic radiation and the great passageway bridging east and west China[J]. Journal of Tongji University(Social Science Section), 2003, 14(1): 96-100.
5	Liu S, Chan F T S, Chung S H. A study of distribution center location based on the rough sets and interactive multi-objective fuzzy decision theory[J]. Robotics and Computer-Integrated Manufacturing, 2011, 27(2): 426-433.
6	Ji Y, Yang H, Zhang Y, et al. Location optimization model of regional express distribution center[J]. Procedia-Social and Behavioral Sciences, 2013, 96: 1008-1013.
7	Pawel D, Monika W, Radovan M, et al. Optimization of the post logistics network and location of the local distribution center in selected area of the Lublin Province[J]. Procedia Engineering, 2017, 192: 130-135.
8	Kuo M S. Optimal location selection for an international distribution center by using a new hybrid method[J]. Expert Systems with Applications, 2011, 38(6): 7208-7221.
9	Holzapfel A, Kuhn H, Sternbeck M G. Product allocation to different types of distribution center in retail logistics networks[J]. European Journal of Operational Research, 2016, 264(3): 948-966.
10	Preston R E. Two centrality models[J]. Yearbook of the Association of Pacific Coast Geographers, 1970(32): 59-78.
11	Javier G, Conde M A, Juan C M. Using accessibility indicators and GIS to assess spatial spillovers of transport infrastructure investment[J]. Journal of Transport Geography, 2010, 18(1): 141-152.
12	Yu H, Yang J, Han J. Classifying Large Data Sets Using SVMs with Hierarchical Clusters[A].SIGKDD 2003(The 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).
13	符蕾. 基于熵权法的旅游公路景观评价体系研究[D]. 重庆: 重庆交通大学交通运输学院, 2014.
	Fu Lei. Study on the assessment system of the tourist highway based on the entropy weight method[D]. Chongqing: College of Traffic & Transportation, Chongqing Jiaotong University, 2014.
14	吴宜进, 廖乐, 元绪英. 基于信息熵的武汉市城市生态系统演化分析研究[J]. 长江流域资源与环境, 2013, 22(1): 21-26.
	Wu Yi-jin, Liao Le, Yuan Xu-ying. Evolution of Wuhan urban complex ecosystem based on information entropy[J]. Resources and Environment in the Yangtze Basin, 2013, 22(1): 21-26.
15	王本洋, 罗富和, 余世孝. 基于信息熵的自然保护区定量评价[J]. 中山大学学报: 自然科学版, 2006, 45(6): 83-86.
	Wang Ben-yang, Luo Fu-he, Yu Shi-xiao. Quantitative evaluation of nature reserves based on information entropy[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2006, 45(6): 83-86.
16	Hwang C L, Yoon K. Multiple Attribute Decision Making[M]. Berlin: Springer, 1981.
17	Shih H S, Shyur H J, Lee E S. An extension of TOPSIS for group decision making[J]. Mathematical & Computer Modelling, 2007, 45(7): 801-813.
18	申桂香, 张英芝, 薛玉霞, 等. 基于熵权法的数控机床可靠性综合评价[J]. 吉林大学学报: 工学版, 2009, 39(5): 1208-1211.
	Shen Gui-xiang, Zhang Ying-zhi, Xue Yu-xia, et al. Comprehensive evaluation on reliability of numerically-controlled machine tool based on entropy weight method[J]. Journal of Jilin University(Engineering and Technology Edition), 2009, 39(5): 1208-1211.
19	李帅, 魏虹, 倪细炉, 等. 基于层次分析法和熵权法的宁夏城市人居环境质量评价[J]. 应用生态学报, 2014, 25(9): 2700-2708.
	Li Shuai, Wei Hong, Ni Xi-lu, et al. Evaluation of urban human settlement quality in Ningxia based on AHP and the entropy method[J]. Chinese Journal of Applied Ecology, 2014, 25(9): 2700-2708.
20	郭亚军. 综合评价理论、方法及应用[M]. 北京: 科学出版社, 2007.
21	Pawlowski S D. The Delphi method as a research tool: an example, design considerations and applications[J]. Information & Management, 2005, 42(1): 15-29.
22	Xi Y G, Chai T Y. Survey on genetic algorithm[J]. Control Theory and Applications, 1996, 13(6): 697-708.
23	翟宜峰, 李鸿雁, 刘寒冰, 等. 用遗传算法优化神经网络初始权重的方法[J]. 吉林大学学报: 工学版, 2003, 43(2): 45-50.
	Zhai Yi-feng, Li Hong-yan, Liu Han-bing, et al. Method for optimizing initial weights of ANNs by GAs[J]. Journal of Jilin University(Engineering and Technology Edition), 2003, 43(2): 45-50.
24	刘宝碇,赵瑞清,王纲.不确定规划及应用[M].北京: 清华大学出版社, 2003.
25	日本日通综合研究所.物流手册[M].北京:中国物资出版杜, 1986.
26	刘海燕, 李宗平, 叶怀珍. 物流配送中心选址模型[J]. 西南交通大学学报, 2000, 4(3): 311-314.
	Liu Hai-yan, Li Zong-ping, Ye Huai-zhen. Logistics distribution center allocation model[J]. Journal of Southwest Jiaotong University, 2000, 4(3): 311-314.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

属性	指标	变量
城市规模	市区总人口/万人	x₁
城市规模	市区总面积/km²	x₂
经济发展水平	地区生产总值/亿元	x₃
	人均生产总值/元	x₄
	第二产业增加值/亿元	x₅
	第三产业增加值/亿元	x₆
	第二三产业产值比重	x₇
	固定资产投资总额/亿元	x₈
	社会消费品零售总额/亿元	x₉
	地方财政预算内收入/亿元	x₁₀
	城乡居民储蓄年末余额/亿元	x₁₁
科教发展水平	万人拥有在校大学生数/人	x₂₂
科教发展水平	科教事业费用支出/亿元	x₂₃
社会发展水平	在岗职工平均工资/元	x₁₂
	人均储蓄存款年末余额/元	x₁₃
	人均生活用电量/kwh	x₁₄
	万人拥有医院床位数/张	x₁₅
	万人拥有医生数/人	x₁₆
资源与基础设施水平	人均道路铺设面积/m	x₁₇
	用水普及率	x₁₈
	燃气普及率	x₁₉
	货运总量/wt	x₂₀
	用电总量/kwh	x₂₁
环境质量水平	建成区绿地覆盖率/%	x₂₄
环境质量水平	人均绿地面积/m²	x₂₅

城市	Z_k
西安	103.72
宝鸡	20.81
天水	10.07
定西	5.02
兰州	45.84
咸阳	40.45
庆阳	11.54
平凉	7.13
固原	5.65

序号	备选点位置	社会经济吸引度	拓扑吸引度
1	武功县	112.4	45.5
2	眉县	63.8	40.9
3	扶风县	75.1	20.7
4	永寿县	41.0	31.5
5	灵台县	50.6	22.3
6	长武县	41.5	31.0
7	东岔镇	46.2	41.5
8	甘泉县	69.2	43.9
9	陇县	38.4	16.6
10	庆城县	35.3	19.9
11	泾源县	51.4	52.5
12	彭阳县	47.7	49.9
13	秦安县	65.4	54.8
14	静宁县	62.7	43.6
15	西吉县	48.1	36.3
16	甘谷县	78.5	50.7
17	通渭县	53.3	52.1
18	会宁县	56.2	40.0
19	甘沟驿镇	35.5	32.5
20	陇西县	61.8	48.0
21	通安驿镇	47.5	35.1
22	渭源县	59.7	24.9
23	榆中县	71.2	44.9
24	金崖镇	60.5	30.1