物流园区演化机理与布局优化方法的研究
|
摘要
物流园区是社会经济发展和经济全球化、一体化的必然要求，是现代物流发展到一定阶段的产物，其形成和发展有着深刻的内在规律性。系统而科学地规划物流园区建设不仅关系到物流业及其相关行业的发展，而且也关系到区域经济整体实力的提升。然而，目前我国在物流园区建设过程中由于缺乏系统和科学的规划论证，造成资源浪费、效率较低的不良局面。
本文在分析国内外研究现状的基础上，对物流园区的演化机理和布局优化问题进行了系统的研究。主要研究工作如下：
(1)物流园区的形成机理研究。详细分析了物流园区形成的时代背景、内因、外因及其发展动力机制，分析了物流园区形成的可能途径，并从宏观角度分析了物流园区发展的一般规律。
(2)物流园区的演化规律。首先，运用空间动力学相关理论分析物流节点系统与其他系统的相互关系，在此基础上利用耗散结构理论分析了区域物流节点演化规律和演化条件。结果表明：要使区域物流系统不断向更高水平的方向演化，制定一个科学而超前的物流发展政策是至关重要的，同时也要不断的提高区域经济水平、优化区域产业结构和加强物流基础建设。其次，运用元胞自动机理论对物流园区的时空演化规律和演化轨迹进行了分析和探讨，并提出了一些可行性建议。最后，根据现代控制理论构建了区域物流节点协同布局优化的控制模型，其基本思想是根据物流节点分布格局和物流OD分布格局，结合区域物流的发展战略和未来的发展目标，对比分析现有物流节点系统的绩效与其理想目标值，提出相应的控制策略。
(3)研究物流园区空间布局的定义及其内涵，指出了物流园区空间布局优化问题要重点解决：(ⅰ)如何确定最优的物流园区数量、规模、位置及三者之间合理匹配关系；(ⅱ)如何确定物流园区与其他类型物流节点最优匹配关系。同时，本文分析了物流园区布局优化的原则、途径及其优化技术手段。
(4)物流园区布局优化模型及其求解算法。在分析物流园区布局优化研究现状的基础上，本文从静态和动态两个不同的角度入手，构建了四个优化模型，并给出了相应的求解算法。
第一个模型是基于改进灰色关联分析的物流园区选址模型，该模型在系统分析物流园区选址的影响因素基础上，融合模糊评价与关联分析理论对物流园区选址方案进行选优。第二个模型是基于模糊规划理论的需求不确定情况下的多个物流园区选址优化模型，在该模型中考虑了物流园区规模效应以及配送中心需求的不确定性等因素，并给出了随机变量转化为模糊变量的方法。同时，针对该模型的特点，给出了基于扩展运输问题的混合遗传算法。第三个模型是物流园区、物流中心、配送中心合理配送区域和协同配置优化模型。第四个模型是多个规划时期、多种货物类型物流节点系统的动态选址优化模型，该模型考虑了物流节点固定成本、改扩建成本、运作成本、规模经济效益和资金的时间价值等因素，针对该模型的特点，给出了基于启发式规则和混合遗传算法相结合的求解算法。上述四个优化模型中，其中前三个模型属于静态选址模型，最后一个模型是动态选址模型。
Logistics Park is the product of modem logistics development, and also the requirement of socioeconomic development and economy globalization. The formation and development of Logistics Park have its profound and inherent rules. To plan Logistics Park systematically and scientifically not only relates to the development of the logistics industries and other related industries, but the promotion of the regional economy. However, wastes of logistics resource and lower efficiency of logistics operations often occur in the construction of Logistics Park in our country due to scarcity of systematical and scientific planning schemes.
Based on the existing literature on studying Logistics Park, the dissertation studies the development mechanism of Logistics Park and the optimization problems of spatial layout of the Logistics Park. The main contents are as follows.
(1) The formation mechanism of Logistics Park. In this section, the background, internal and external effect factors, and impetus mechanism are studied. Also, the possible formation avenues and development rules of the Logistics Park are explored.
(2) The evolvement rules of the Logistics Park. In this section, the correlation between logistics systems and other systems is analyzed in terms of the spatial-dynamic theory. The rules and conditions of evolvement of Logistics Park are investigated in terms of the dissipative structure theory. The findings show that in order to make the regional logistics systems evolve toward more efficient direction, it is very necessary to make a scientific and advanced policy for developing logistics industries. Moreover, it is also very necessary to improve the level of regional economy, optimize the structure of regional industry and enhance the construction of logistics infrastructure. Then, the space-time evolution rules of Logistics Park are analyzed and examined according to the cellular automata theory. Some feasible suggestions are proposed. Finally, a control models and solution algorithms for optimizing the regional logistics node synergism layout are presented. The basic ideas of the control model are as follows. The system takes the logistics nodes layout and logistics OD distribution as the input data of the system. Based on the analysis of system performance of the current logistics nodes and its ideal objectives of development, the output of the system gives the corresponding control strategies in terms of the development strategies and targets of the regional logistics system.
(3) The optimization of spatial layouts of Logistics Park. In this section, we investigate the definition and intension of Logistics Park spatial layout optimization. Two key technical problems for the optimization of spatial layouts are pointed out. One is how to determine the optimal number, size, location as well as the rational matching relationship among them. The other is how to determine the optimal matching relationship between Logistics Park and the other types of logistics nodes. We also formulate the principles, methodologies and optimization approaches of the Logistics Park's layout.
(4) The models and solution algorithms of spatial layout of the Logistics Park.
Based on the analyses of existing studies on logistics node locations, the optimization problems of the spatial layouts of the Logistics Parks are studied in this section. Four models and the corresponding solution algorithms for static and dynamic problems are presented. The first is the location model of single Logistics Park in terms of grey incidence analysis and fuzzy evaluation theory. Based on the analyses of the impact factors on Logistics Park locating, the model combines the fuzzy appraisement and the gray incidence analyses to evaluate the candidate locations of Logistics Park. The second is the location model of multiple Logistics Parks with uncertain demand in terms of fuzzy programming methods. The model simultaneously considers the economics of scale on Logistics Park and the demand uncertainty of distribution centers. The model also provides a new method to convert the stochastic variables into fuzzy parameters. In the meantime, a hybrid genetic algorithm which combines the extended transportation problem is presented to solve the proposed model. The third is the rational service area and match relationship model of Logistics Park's cooperation with other logistics nodes, such as Logistics Center and Distribution Center. The fourth is the dynamic location model of multi-period and multiple logistics nodes. The optimization model considers such factors as the fixed cost of logistics nodes, handling cost of logistics nodes, expanding cost of logistics nodes, the economic of scale of logistics nodes, and the value of time of capitals. Then, an effective algorithm based on the heuristic principles and the hybrid genetic algorithm is developed to solve the proposed model. The first three models are static models, and the fourth is a dynamic model.
本文在分析国内外研究现状的基础上，对物流园区的演化机理和布局优化问题进行了系统的研究。主要研究工作如下：
(1)物流园区的形成机理研究。详细分析了物流园区形成的时代背景、内因、外因及其发展动力机制，分析了物流园区形成的可能途径，并从宏观角度分析了物流园区发展的一般规律。
(2)物流园区的演化规律。首先，运用空间动力学相关理论分析物流节点系统与其他系统的相互关系，在此基础上利用耗散结构理论分析了区域物流节点演化规律和演化条件。结果表明：要使区域物流系统不断向更高水平的方向演化，制定一个科学而超前的物流发展政策是至关重要的，同时也要不断的提高区域经济水平、优化区域产业结构和加强物流基础建设。其次，运用元胞自动机理论对物流园区的时空演化规律和演化轨迹进行了分析和探讨，并提出了一些可行性建议。最后，根据现代控制理论构建了区域物流节点协同布局优化的控制模型，其基本思想是根据物流节点分布格局和物流OD分布格局，结合区域物流的发展战略和未来的发展目标，对比分析现有物流节点系统的绩效与其理想目标值，提出相应的控制策略。
(3)研究物流园区空间布局的定义及其内涵，指出了物流园区空间布局优化问题要重点解决：(ⅰ)如何确定最优的物流园区数量、规模、位置及三者之间合理匹配关系；(ⅱ)如何确定物流园区与其他类型物流节点最优匹配关系。同时，本文分析了物流园区布局优化的原则、途径及其优化技术手段。
(4)物流园区布局优化模型及其求解算法。在分析物流园区布局优化研究现状的基础上，本文从静态和动态两个不同的角度入手，构建了四个优化模型，并给出了相应的求解算法。
第一个模型是基于改进灰色关联分析的物流园区选址模型，该模型在系统分析物流园区选址的影响因素基础上，融合模糊评价与关联分析理论对物流园区选址方案进行选优。第二个模型是基于模糊规划理论的需求不确定情况下的多个物流园区选址优化模型，在该模型中考虑了物流园区规模效应以及配送中心需求的不确定性等因素，并给出了随机变量转化为模糊变量的方法。同时，针对该模型的特点，给出了基于扩展运输问题的混合遗传算法。第三个模型是物流园区、物流中心、配送中心合理配送区域和协同配置优化模型。第四个模型是多个规划时期、多种货物类型物流节点系统的动态选址优化模型，该模型考虑了物流节点固定成本、改扩建成本、运作成本、规模经济效益和资金的时间价值等因素，针对该模型的特点，给出了基于启发式规则和混合遗传算法相结合的求解算法。上述四个优化模型中，其中前三个模型属于静态选址模型，最后一个模型是动态选址模型。
Logistics Park is the product of modem logistics development, and also the requirement of socioeconomic development and economy globalization. The formation and development of Logistics Park have its profound and inherent rules. To plan Logistics Park systematically and scientifically not only relates to the development of the logistics industries and other related industries, but the promotion of the regional economy. However, wastes of logistics resource and lower efficiency of logistics operations often occur in the construction of Logistics Park in our country due to scarcity of systematical and scientific planning schemes.
Based on the existing literature on studying Logistics Park, the dissertation studies the development mechanism of Logistics Park and the optimization problems of spatial layout of the Logistics Park. The main contents are as follows.
(1) The formation mechanism of Logistics Park. In this section, the background, internal and external effect factors, and impetus mechanism are studied. Also, the possible formation avenues and development rules of the Logistics Park are explored.
(2) The evolvement rules of the Logistics Park. In this section, the correlation between logistics systems and other systems is analyzed in terms of the spatial-dynamic theory. The rules and conditions of evolvement of Logistics Park are investigated in terms of the dissipative structure theory. The findings show that in order to make the regional logistics systems evolve toward more efficient direction, it is very necessary to make a scientific and advanced policy for developing logistics industries. Moreover, it is also very necessary to improve the level of regional economy, optimize the structure of regional industry and enhance the construction of logistics infrastructure. Then, the space-time evolution rules of Logistics Park are analyzed and examined according to the cellular automata theory. Some feasible suggestions are proposed. Finally, a control models and solution algorithms for optimizing the regional logistics node synergism layout are presented. The basic ideas of the control model are as follows. The system takes the logistics nodes layout and logistics OD distribution as the input data of the system. Based on the analysis of system performance of the current logistics nodes and its ideal objectives of development, the output of the system gives the corresponding control strategies in terms of the development strategies and targets of the regional logistics system.
(3) The optimization of spatial layouts of Logistics Park. In this section, we investigate the definition and intension of Logistics Park spatial layout optimization. Two key technical problems for the optimization of spatial layouts are pointed out. One is how to determine the optimal number, size, location as well as the rational matching relationship among them. The other is how to determine the optimal matching relationship between Logistics Park and the other types of logistics nodes. We also formulate the principles, methodologies and optimization approaches of the Logistics Park's layout.
(4) The models and solution algorithms of spatial layout of the Logistics Park.
Based on the analyses of existing studies on logistics node locations, the optimization problems of the spatial layouts of the Logistics Parks are studied in this section. Four models and the corresponding solution algorithms for static and dynamic problems are presented. The first is the location model of single Logistics Park in terms of grey incidence analysis and fuzzy evaluation theory. Based on the analyses of the impact factors on Logistics Park locating, the model combines the fuzzy appraisement and the gray incidence analyses to evaluate the candidate locations of Logistics Park. The second is the location model of multiple Logistics Parks with uncertain demand in terms of fuzzy programming methods. The model simultaneously considers the economics of scale on Logistics Park and the demand uncertainty of distribution centers. The model also provides a new method to convert the stochastic variables into fuzzy parameters. In the meantime, a hybrid genetic algorithm which combines the extended transportation problem is presented to solve the proposed model. The third is the rational service area and match relationship model of Logistics Park's cooperation with other logistics nodes, such as Logistics Center and Distribution Center. The fourth is the dynamic location model of multi-period and multiple logistics nodes. The optimization model considers such factors as the fixed cost of logistics nodes, handling cost of logistics nodes, expanding cost of logistics nodes, the economic of scale of logistics nodes, and the value of time of capitals. Then, an effective algorithm based on the heuristic principles and the hybrid genetic algorithm is developed to solve the proposed model. The first three models are static models, and the fourth is a dynamic model.
引文
[1] 中国物流学会．中国物流学术前沿报告(2005—2006)[R]．北京：中国物资出版社，2005
[2] 南开大学现代物流中心．中国现代物流发展报告(2003)[R]．北京：机械工业出版社，2004
[3] 通创物流咨询有限公司课题组．中国物流园区发展模式[R]．北京：中国物资出版社，2004
[4] 张晓东．物流园区布局规划理论研究[M]．北京：中国物资出版社，2004
[5] Gandlur, Karthik Satyanarayana. Implementation of adaptive routing in public logistics networks. MS Dissertation North Carolina State University,2001
[6] Leem, Byunghak. A heuristic methodology of modeling enterprise logistics networks. PhD Dissertation.University of Texas,2002
[7] Lee,Chi-Guhn. Vehicle routing and inventory control for in-bound logistics. PhD Dissertation,Michigan University, 2001
[8] Satapathy, Goutam. Distributed and collaborative logistics planning and replanning under uncertainty:A multiagent-based approach. PhD Dissertation, Pennsylvania State Universiy,1999
[9] Ross, Anthony Dewayne. Logistics planning within the supply chain: A methodology and solution approaches. PhD Dissertation, Indiana University, 1996
[10] Gao, Li-Lian. A revised formulation and two complementary optimization procedures for the two-echelon uncapacitated facility location problem. PhD Dissertation, Indiana University,1989
[11] Vladimir Brayman. Hierarchical distributed algorithm for optimization of flows and prices in logistics distribution networks. PhD Dissertation,University of Washington, 2003
[12] Aksen Deniz. Logistics of conversion from "Brick-and-Mortar" to "Click-and-Mortar" Retailing Model.PhD Dissertation,Purdue University,2003
[13] Jayaraman V., Ross A. A simulated annealing methodology to distribution network design and management. European Journal of Operational Research, 2003,144:629-645
[14] Georgakopoulos A., Mihiotis A. Distribution network design: an integer programming approach.Journal of Retailing and Consumer Services, 2004(11): 41-49
[15] Yang-Ja Jang eta.A Combined model of network design and production /distribution planning for a supply network. Computers & Industrial Engineering,2003,43:263-2S\
[16] Klose, A., Drexl, A. Facility location models for distribution system design. European Journal of Operational Research,2005,162(1):4-29.
[17] Ali Amiri. Designing a distribution network in a supply chain system: Formulation and efficient solution procedure. European Journal of Operational Research, 2006,171:567-576
[18] Feiyue Lia,et al. Very large-scale vehicle routing: new test problems,algorithms,and results. Computers & Operations Research,2005, 32:1165-1179
[19] Guabor Nagya et al.Heuristic algorithms for single and multiple depot vehicle routing problems with pickups and deliveries. European Journal of Operational Research,2005,162:126-141
[20] JOrg Homberger, Hermann Gehring.A two-phase hybrid metaheuristic for the vehicle routing problem with time windows. European Journal of Operational Research,2005,l62:220-238
[21] Jose Brandào .A tabu search algorithm for the open vehicle routing problem. European Journal of Operational Research,2004,157:552-564
[22] Hakimi, S. L. Optimum locations of switching centers and the absolute centers and medians of a graph. Operations Research,l964(l2):450-459
[23] Hakimi S. L. p-median theorems for competitive location. Annals of Operation Research,1986,5(1):79-88
[24] Goldman A. J. Optimal center location in simple networks.Transportation Scienc1\97l(5):212-221
[25] Lorena L. A. N, Senne E. L. F. A Column generation approach to capacitated p-median problem. Computers and Operations Research, 2004,31(6): 863-876
[26] C. Caruso, A. Colorni, L. Aloi. Dominant, an algorithm for the p-center problem.European Journal of Operation Research,2003,149:53-64
[27] Z. Drezner, Wesolowsky G. O. A new method for the multifacility minimax location problem. Journal of the operational research society, 1978(24): 1507-1514
[28] Melkote, S.et al.An integrated model of facility location and transportation network design. Transportation Research,2001,35A(6):515-538
[29] Nozick, L.K. and M.A. Turnquist.Inventory, transportation, service quality and the location of distribution centers. European Journal of Operational Research,200l,129 (2):362-371
[30] C.S. ReVelle a, H.A. Eiselt b.Location analysis: A synthesis and survey.European Journal of Operational Research,2005,165:1-19
[31] Pablo, A., et al.Incorporating inventory control decisions into a strategic distribution network design model with stochastic demand. Transportation Research Part-E,2004,40(3): 183-207
[32] Shen, Z.J.et al.A joint location-inventory model. Transportation Science, 2003,37(l):40-55.
[33] Min, H., et al.Combined location-routing problems: a synthesis and future research directions. European Journal of Operational Research,1998,108 (1): 1-15
[34] Erengc, S. S., et al.Integrated production/distribution planning in supply chains: an invited review. European Journal of Operational Research, 1999,115(2):219-236
[35] Marianov V. and Serra D. Location-allocation of multiple-server service centers with constrained queues or waiting times. Annals of Operations Research, 2002(111): 35-50
[36] Current, J.R. and Marsh, M. Multi-objective transportation network design and routing problem: taxonomy and annotation, European Journal of Operational Research,l993, 65(2):4-19
[37] Klose, A., Drexl, A. Facility location models for distribution system design. European Jo urnal of Operational Research,2005,162(1):4-29
[38] Melkote, S. et al. An integrated model of facility location and transportation network design.Transportation Research. 2001,35 A(6):515-538
[39] LeBlanc, L. J.An algorithm for the discrete network design problem. Transportation Science, 1975,9:183-199
[40] O'Kelly M. E. The location of interacting hub facilities. Transportation Science, 1986,20: 92-106
[41] O'Kelly M. E. Activity levels at hub facilities in interacting networks. Geographical Analysis,1986,18:343-356
[42] Kara B. Y and B. C. Tansel.On the single-assignment p-Hub center problem. European Journal of Operation Research,2000,125:648-655
[43] Ebery J.M. Krishnamoorthy. The capaciated multiple allocation hub location problem: Formulation and Algorithms.European Journal Operational Research,1999,120: 614-631
[44] Bas G. et al. Towards collaborative, intermodal hub networks: a case study in the fast moving consumer goods market.Transportation Research PartE, 2005,41:567—583
[45] O_Kelly, M.E.,Bryan,D.L.Hub location with flow economies of scale. Transportation Research Part B:Methodology, 1998,32(8):605-616
[46] O_Kelly, M.E., Miller, H.J. The hub network design problem, a review and synthesis. Journal of Transport Geography, 1994,2(1):31-40
[47] Marianov V. Location of hubs in a competitive environment. European Journal of Operational Research, 1998,114:363-371
[48] R.H.Ballou.Dynamic warehouse location analysis. Journal of Marketing Research, 1968, 5:271-276
[49] Sweeney D.J., Tatham RL. An improved long- run model for multiple warehouse location. Management Science, 1976,22(7):748-758.
[50] T. J. VanRoy, Erlenkotter D.A dual-based procedure for dynamic facility location. Management Science, 1982,28(10): 1091-1105
[51] S. Alexander, An algorithm for solving dynamic capacity plant location with discrete expansion sizes, Operations Research, 1991 (39):423-436
[52] Cem Canel, An algorithm for the capacitated, multi-commodity multi-period facility location problem,Computers & Operations Research,2001,28: 411-427.
[53] John Current, Samuel Ratick, Charles Revelle. Dynamic facility location when the total number of facilities is uncertain:A decision analysis approach [J].European Journal of Operational Research, 1997(110):597—609.
[54] Simon Croom, Pietro Romano, Mihalis Giannakis.Supply chain management: an analytical frameworkfor critical literature review. European Journal of Purchasing & Supply Management,2000,6:67～83
[55] A. Gunasekarana, E.W.T. Ngaib, Build-to-order supply chain management: a literature review and framework for development. Journal of Operations Management,2005, 23:423-451
[56] Hong Yan., Zhenxin Yu, T.C. Edwin Cheng. A strategic model for supply chain design with logical constraints: formulation and solution.Computers & Operations Research,2003,30:2135-2155
[57] Gerald Reiner.Customer-oriented improvement and evaluation of supply chain processes supported by simulation models. International Journal of Production Economics,2005,96:381-395
[58] Ram Narasimhan, Santosh Mahapatra.Decision models in global supply chain management. Industrial Marketing Management, 2004,33:21-27
[59] Tung-Lai Hu, Jiuh-Biing Sheu, Kuan-Hsiung Huang.A reverse logistics cost minimization model for the treatment of hazardous wastes.Transportation Research Part E, 2002, 38:457-473
[60] Kee-Hung Lai, E.W.T.N. gai, T.C.E. Cheng.An empirical study of supply chain performance in transport logistics. Int. J. Production Economics, 2004,87:321-331
[61] S.H. Ghodsypour, C. O'Brien. The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. Int.J.Production Economics, 2001,73:15～27
[62] Jawad, Dima J. Life cycle cost optimization for infrastructure facilities.PhD Dissertation, the State University of New Jersey, 2003
[63] Pierre Arnold, Dominique Peeters, Isabelle Thomas.Modelling a rail/road intermodal transportation system. Transportation Research Part E, 2004,40:255-270
[64] Frank Southworth, Bruce E. Peterson.Intermodal and international freight network modeling. Transportation Research Part C,2000, 8:147～166
[65] Donald P. Warsing, Gilvan C. Souza, Noel P. Greis.Determining the value of dedicated multimodal cargo facilities in a multi-region distribution network. European Journal of Operational Research, 2001,133:81～93
[66] Kuo-chung Shang, Peter B.Marlow. Logistics capability and performance in Taiwan's major manufacturing firms. Transportation Research Part E, 2005,41:217-234
[67] Kokaz, Karolin, Optimal modal transport choice in the face of different strategies for air quality management in urban transportation planning.PhD Dissertation,Harvard University,2002
[67] Ming Dong, F. Frank Chen. Performance modeling and analysis of integrated logistic chains: An analytic framework.European Journal of Operational Research, 2005,162: 83-98
[68] Kuo-chung Shang, Peter B.Marlow. Logistics capability and performance in Taiwan's major manufacturing firms. Transportation Research Part E,2005,41:217-234
[69] 李宏亮．城市物流基地选址问题研究[J]．物流科技．2004，27(108)：69-73
[70] 何刚、魏连雨．基于人工神经网络第三方物流企业的物流中心选址研究[J]．物流科技．2004，27(103)：4-7
[71] 田青等．基于运输规划和组合GA的基本物流网络设计[J]．清华大学学报(自然科学版)．2004，44(11)：1441-1444
[72] 李春海，缪立新．区域物流系统及物流园区规划方法体系[J]．清华大学学报(自然科学版)．2004，44(3)：398-401
[73] 周骞等．物流园区规划的若干问题探讨[J]．长沙交通学院报．2003，19(1)：73-77
[74] 孙会君，高自友．物流配送中心合理选址研究[J]．技术经济，2002，179(11)：62-64
[75] 陆琳琳，张任颐．一种新的物流中心选址方法[J]．物流科技2003，26(97)：28-30．
[76] 于海生，赵林度．物流网络中多设施选址模型[J]．物流技术．2004，1：33-35．
[77] 孙会君，高自友．考虑路线安排的物流配送中心选址双层规划模型及求解算法．中国公路学报[J]，2003，16(2)：115-119
[78] 杨波．多品种随机数学模型的物流配送中心选址问题[J]：中国管理学，2003，11(2)：45-49
[79] 袁庆达，陈旭梅，黎青松．基于“服务型”物流战略的p-Center选址问题研究[J]．西南交通大学学报，2001，36(3)：250-253
[80] 王战权，杨东援．配送中心的遗传算法研究．物流技术[J]，2001(3)：11-14
[81] 张培林，魏巧云．物流配送中心选址模型及其启发式算法[J]．交通运输工程学报，2003，3(2)：65-68
[82] 李军，郭耀煌．物流配送：车辆优化调度理论与开发[M]．北京：中国物资出版社，2001
[83] 袁庆达，杜文，周再玲．带软时间窗的混合车队车辆路线安排问题的模型和算法研究[J]．西南交通大学学报，2000，36(4)：401—406
[84] 李军，谢秉磊，郭耀煌．有时间窗的非满载车辆调度问题的遗传算法[J]．系统工程学报，2000，15(3)：290—294
[85] 李清泉，张金亭，黄经南．一个物流配送优化算法[J]．武汉大学学报(信息科学版)，2003，28(1)：9—13
[86] 刘冲．城市物流网络优化研究：[硕士论文]．大连：大连理工大学，2005
[87] 宋寒，交通网路平衡下的城市物流中心布局规：[硕士论文]．西安：长安大学，2005
[88] 黄福华．长株潭城市群发展的物流战略与实现途径[J]．民族论坛．2002(2)：14—17
[89] 李晓娜．我国现代物流园区发展模式探讨：[硕士论文]．长沙：中南大学，2003．
[90] 过秀成．区域物流需求分析模型及其算法[J]．东南大学学报(自然科学)．2001，31(3)：24～28
[91] 魏连雨，庞明宝．基于神经网络的物流量预测[J]．长安大学学报(自然科学版)．2004，24(6)：55-59
[92] 张凤荣，金俊武．灰色系统模型在物流货物量预测中的应用[J]．工业技术经济．2003，30(6)：72-73
[93] 王晓原，张敬磊．区域物流需求分析集对聚类预测模型研究[J]．软科学，2004，18(5)：11-13
[94] 初良勇等．组合预测模型在物流需求预测中的应用[J]．大连海事大学学报．2004．30(4)：43-46
[95] 王利等．现代区域物流规划的基本框架[J]．经济地理．2003，23(5)：601～605
[96] 王雨晴．吴远开．区域物流基础设施资源整合的因素分析与方法研究[J]．物流技术，2005(3)：8～12
[97] 鞠鸽腾．现代物流园区的功能规划与建设[J]．上海经济研究．2003(2)：75～80
[98] 高红建．物流园区功能设计和选址问题研究：[硕士学位论文]．长沙：中南大学，2003
[99] 张晓东．物流园区空间布局理论研究：[博士学位论文]．北京：北方交通大学，2002
[100] 赵闯．城市物流节点布局规划理论与方法：[博士学位论文]．北京：北京交通大学，2005
[101] 韩勇．物流园区系统规划的理论、方法和应用研究：[博士学位论文]，天津：天津大学，2002
[102] 金俊武．物流园区优化布局和物流运行关键技术的研究：[博士学位论文]，吉林：吉林大学，2004
[103] 云俊．物流园区预测方法及应用研究：[博士学位论文]．武汉：武汉理工大学，2003
[104] 王成金，我国物流企业的空间组织研究：[博士学位论文]．南京：南京师范大学，2005
[105] 国家质量技术监督局，物流术语GB／T 18354—2001[M]．北京：中国标准出版社2001，4
[106] 王之泰．新编现代物流学[M]．北京：首都经济贸易大学出版社，2005
[107] 王键．现代物流网络系统的构建[M]．科学出版社，2005：58—126
[108] 丁俊发．关于物流园区的八点思考[R]．第三次全国城市物流园区(基地、中心)交流研讨会暨第十次中国物流专家论坛论文集，2005，7
[109] 吴晓军．产业集群与工业园区建设—欠发达地区加快工业化进程路径研究：[博士学位论文]，南昌：江西财经大学，2004
[110] 马建会．产业集群成长机理研究：[博士学位论文]．广州：暨南大学．2004
[111] 王辑慈．创新的空间—企业集群与区域发展．北京：北京大学出版社，2001
[112] 赵涤非．产业集群的内在机理和发展模式分析：[博士学位论文]．沈阳：沈阳农业大学，2004
[113] 耿明斋．现代空间结构理论回顾及区域空间结构的演变规律[J]．企业活力，2005(11)：16—20
[114] 陆玉鹿．区域发展中的空间结构研究[M]．南京：南京师范大学出版社，1998：38— 39
[115] 陆大道．区域发展及其空间结构．北京：科学出版社，1998
[116] 沃尔德罗普．复杂：诞生于秩序与混沌边缘的科学[M]．陈玲译．北京：三联书店，1997：310-311
[117] 普利高津(湛敏 译)．确定性的终结[M]．上海：上海科技教育出版社，1998：5-6
[118] 周成虎等．地理元胞自动机[M]．北京：科学出版社，1999．26-27，38-39
[119] 钱学森，于景元，戴汝为．一个科学新领域—开放的复杂巨系统及其方法论[J]．自然杂志，1990，13(1)：3-10
[120] 陈禹．复杂适应系统(CAS)理论以及应用—由来、内容与启示[J]．系统辩证学学报，2001，9(4)：35-36
[121] 汪应洛．系统工程理论方法与应用[M]．北京：高等教育出版社，2001
[122] 霍兰．隐秩序[M]．周晓牧译．上海：上海科技教育出版社，2000
[123] 张得志．区域物流系统演化机理研究[C]．见：2005年全国博士生学术论坛(交通运输工程学科)：691—695
[124] 朱薇薇，现代物流的发展历程及其在我国发展的趋势[J]，交通世界，2005(7)：56-63
[125] 张乐乐、冯爱兰．现代物流与传统物流的比较分析[J]，物流技术2005(7)：5-8
[126] 丁俊发．入世三年与中国物流业[M]．北京：中国物资出版社，2004
[127] 周启蕾．现代物流业形成机理与推进策略[M]．北京：北京大学出版社，2004
[128] 宋则，常东亮．中国物流成本前沿问题考察报告[J]．财贸经济，2005(7)：43—47
[129] 王学颖．2005年欧洲的电子商务．环球采风[J]，2005(12)：48—50
[130] 郑淑蓉．我国电子商务10年发展[J]．电子商务．2005(11)：55—58
[131] 刘斌．产业集聚竞争优势的经济分析[M]．北京：中国发展出版社，2004
[132] 顾朝林．产业结构重构与转移—长江三角洲地区及主要城市比较研究[M]．南京：江苏人民出版社，2003
[133] 南开大学现代物流研究中心．中国现代物流发展报告(2005)[R]，北京：机械出版社，2005
[134] 张宏武，时临云．日本构建物流体系的经验对我国的启示[J]，中国流通经济，2005(9)：15—18
[135] 杜木恒．现代物流的经济分析[J]．现代财经，2002，5(22)：40—44
[136] 李海建，谢五届，曹有挥．区域物流中心(城市)空间体系及驱动机理研究[J]．世界地理研究，2005，14(4)：35-42
[137] 章志刚．现代物流与城市群经济协调发展研究：[博士学位论文]．上海：复旦大学，2005
[138] 龙江．物流成长与创新[M]．北京：中国物资出版社，2005：90—91
[139] 马立宏．区域物流增长机理分析：[博士学位论文]．北京：北方交通大学，2002
[140] 李海建．安徽省物流地域系统的“轴—辐”(Hub-and-Spoke)模型研究：[硕士学位论文]．合肥：安徽师范大，2004
[141] 牛慧恩等．物流用地与物流园区[J]．规划师，2001(2)：7-11
[142] 沈小峰等．耗散结构论[M]．上海：上海人民出版社，1987．
[143] 段晓静．耗散结构理论及其广泛应用[J]．乐山师范学院学报，2003，18(4)：64-67
[144] 王孟钧等．建筑市场管理的自组织理论及其实现[J]．湖南大学学报(自然科学版)2001，8，28(4)：121-126．
[145] 李才伟．元胞自动机及其复杂系统得时空演化模拟：[博士学位论文]．武汉：华中理工大学，1997
[146] Xie,Y., Analytical Model and Algorithms for Cellular Urban Dynamics,Ph.D.Thesis, University of New York, 1994
[147] 黎夏，叶嘉安．基于神经网络的单元自动机CA及真实和优化的城市模拟．地理学报，2002，57(2)：159—166
[148] 何春阳．北京地区城市化过程中土地利用／覆盖变化动力学研究：[博士学位论文]．北京：北京师范大学，2003
[149] 罗平．地理特征元胞自动机及城市土地利用演化研究：[博士学位论文]．武汉：武汉大学，2004
[150] 姜锐．交通流复杂动态特性的微观和宏观模式研究：[博士学位论文]．合肥：中国科学技术大学，2002
[151] 于鑫．基于元胞白动机的流行病传播模型及模拟[J]．计算机工程与应用 2005(2)：205—209
[152] 谭跃进等．系统学原理[M]．长沙：国防科技大学出版社，1996
[153] 王红，闾国年．城市细胞自动机模型研究的回顾与展望[J]．经济地理，2003，23(2)：154-157
[154] 戴禾．物流基础设施体系规划中的若干理论与方法研究：[博士学位论文]．上海：同济大学，2003
[155] 许道涛．多时期多配送中心选址点的最优变化轨迹问题研究：[硕士学位论文]．杭州：浙江大学，2004．
[156] 戴禾，刘兴景等．物流园区选址问题研究[J]．综合运输，2001(2)：30—33．
[157] 徐杰，郑凯等．物流中心选址的影响因素分析及案例[J]，北方交通大学学报，2001(5)：80—82
[158] 徐杰，田源等．物流中心选址的影响因素分析及案例[J]．物流技术，2002(2)： 28—31
[159] 杨丰梅等．选址问题研究的若干进展[J]．运筹与管理，2005，14(6)：1-7
[160] 何刚，魏连雨．基于人工神经网络第三方物流企业的物流中心选址研究[J]．物流科技，2004，27(103)：4-7
[161] 何亚群，胡寿松．基于粗糙集的空军航材供应点的偏好选址[J]．系统工程理论与实践，2003，7：95-99
[162] 孙会君，高自友．一类有竞争的物流配送中心选址模型[J]．交通运输工程学报，2002，2(4)：54-57
[163] 孙会君，高自友．基于分布式工厂的供应链二级分销网络生产计划优化模型[J]．中国管理科学，2002，10(6)：40-43
[164] 赵晓煜．供应链中二级分销网络优化设计方法的研究：[博士学位论文]．沈阳：东北大学，2001
[165] 张得志，谢如鹤等．组合评价法在物流园区选址中的应用[J]．武汉理工大学学报(交通科学与工程版)，2005，29(5)：762—766
[166] 赵东辉，罗誉鑫．层次分析法结合灰色关联分析评价六盘水引水工程方案[J]．水利经济，1996(2)：54—60．
[167] 邓聚龙．灰色系统理论教程[M]．武汉：华中理工大学出版社，1990
[168] 袁嘉祖．灰色系统理论及应用[M]．北京：科学出版社，1991
[169] 陆华，杨家其．模糊排序及启发式算法在物流中心选址中的应用[J]．武汉理工大学学报(交通科学与工程版)．2002，26(3)：389-392
[170] 韩世莲等．多人多准则模糊层次分析法的物流中心综合评价优选模型[J]．系统工程理论与实践．2004(7)：128-134
[171] 梁湖清，陆凤山．企业管理经济学[M]．长沙：中南工业大学出版社，1996．
[172] 于海生，赵林度．物流网络中多设施选址模型．物流技术[J]．2004(1)：33-35
[173] 方述诚，汪定伟．模糊数学和模糊优化[M]．北京：科学出版社，1997
[174] 赵晓煜，汪定伟．供应链中二级分销网络优化设计的模糊机会约束规划模型[J]．控制理论与应用，2002，19(2)：249-252
[175] 陆化普，王超．两层层物流中心规划模型求解的遗传算法[J]，土木工程学报(交通工程分册)，200i，1(1)：1-5
[176] 汤宇卿．城市流通空间研究．北京：高等教育出版社，2002：358-362
[177] 陆凤山．管理经济学[M]．广东经济出版社，1998
[178] 张得志，谢如鹤，罗荣武等．物流配送网络优化模型及其求解算法[J]．武汉理工大学学报(交通科学与工程版)，2006，30(4)：569-572
[179] 谢如鹤，罗荣武，张得志．物流系统规划原理与方法[M]．中国物资出版社，2004
[180] 陈国良等．遗传算法及其应用[M]．人民邮电出版社，1999
[181] 刘宝碇，赵瑞清．随机规划与模糊规划[M]．清华大学出版社，2001
[182] 物流园区专栏，《全国物流园区发展调查查报告》摘要[R]．现代物流报，2006-11-9
[2] 南开大学现代物流中心．中国现代物流发展报告(2003)[R]．北京：机械工业出版社，2004
[3] 通创物流咨询有限公司课题组．中国物流园区发展模式[R]．北京：中国物资出版社，2004
[4] 张晓东．物流园区布局规划理论研究[M]．北京：中国物资出版社，2004
[5] Gandlur, Karthik Satyanarayana. Implementation of adaptive routing in public logistics networks. MS Dissertation North Carolina State University,2001
[6] Leem, Byunghak. A heuristic methodology of modeling enterprise logistics networks. PhD Dissertation.University of Texas,2002
[7] Lee,Chi-Guhn. Vehicle routing and inventory control for in-bound logistics. PhD Dissertation,Michigan University, 2001
[8] Satapathy, Goutam. Distributed and collaborative logistics planning and replanning under uncertainty:A multiagent-based approach. PhD Dissertation, Pennsylvania State Universiy,1999
[9] Ross, Anthony Dewayne. Logistics planning within the supply chain: A methodology and solution approaches. PhD Dissertation, Indiana University, 1996
[10] Gao, Li-Lian. A revised formulation and two complementary optimization procedures for the two-echelon uncapacitated facility location problem. PhD Dissertation, Indiana University,1989
[11] Vladimir Brayman. Hierarchical distributed algorithm for optimization of flows and prices in logistics distribution networks. PhD Dissertation,University of Washington, 2003
[12] Aksen Deniz. Logistics of conversion from "Brick-and-Mortar" to "Click-and-Mortar" Retailing Model.PhD Dissertation,Purdue University,2003
[13] Jayaraman V., Ross A. A simulated annealing methodology to distribution network design and management. European Journal of Operational Research, 2003,144:629-645
[14] Georgakopoulos A., Mihiotis A. Distribution network design: an integer programming approach.Journal of Retailing and Consumer Services, 2004(11): 41-49
[15] Yang-Ja Jang eta.A Combined model of network design and production /distribution planning for a supply network. Computers & Industrial Engineering,2003,43:263-2S\
[16] Klose, A., Drexl, A. Facility location models for distribution system design. European Journal of Operational Research,2005,162(1):4-29.
[17] Ali Amiri. Designing a distribution network in a supply chain system: Formulation and efficient solution procedure. European Journal of Operational Research, 2006,171:567-576
[18] Feiyue Lia,et al. Very large-scale vehicle routing: new test problems,algorithms,and results. Computers & Operations Research,2005, 32:1165-1179
[19] Guabor Nagya et al.Heuristic algorithms for single and multiple depot vehicle routing problems with pickups and deliveries. European Journal of Operational Research,2005,162:126-141
[20] JOrg Homberger, Hermann Gehring.A two-phase hybrid metaheuristic for the vehicle routing problem with time windows. European Journal of Operational Research,2005,l62:220-238
[21] Jose Brandào .A tabu search algorithm for the open vehicle routing problem. European Journal of Operational Research,2004,157:552-564
[22] Hakimi, S. L. Optimum locations of switching centers and the absolute centers and medians of a graph. Operations Research,l964(l2):450-459
[23] Hakimi S. L. p-median theorems for competitive location. Annals of Operation Research,1986,5(1):79-88
[24] Goldman A. J. Optimal center location in simple networks.Transportation Scienc1\97l(5):212-221
[25] Lorena L. A. N, Senne E. L. F. A Column generation approach to capacitated p-median problem. Computers and Operations Research, 2004,31(6): 863-876
[26] C. Caruso, A. Colorni, L. Aloi. Dominant, an algorithm for the p-center problem.European Journal of Operation Research,2003,149:53-64
[27] Z. Drezner, Wesolowsky G. O. A new method for the multifacility minimax location problem. Journal of the operational research society, 1978(24): 1507-1514
[28] Melkote, S.et al.An integrated model of facility location and transportation network design. Transportation Research,2001,35A(6):515-538
[29] Nozick, L.K. and M.A. Turnquist.Inventory, transportation, service quality and the location of distribution centers. European Journal of Operational Research,200l,129 (2):362-371
[30] C.S. ReVelle a, H.A. Eiselt b.Location analysis: A synthesis and survey.European Journal of Operational Research,2005,165:1-19
[31] Pablo, A., et al.Incorporating inventory control decisions into a strategic distribution network design model with stochastic demand. Transportation Research Part-E,2004,40(3): 183-207
[32] Shen, Z.J.et al.A joint location-inventory model. Transportation Science, 2003,37(l):40-55.
[33] Min, H., et al.Combined location-routing problems: a synthesis and future research directions. European Journal of Operational Research,1998,108 (1): 1-15
[34] Erengc, S. S., et al.Integrated production/distribution planning in supply chains: an invited review. European Journal of Operational Research, 1999,115(2):219-236
[35] Marianov V. and Serra D. Location-allocation of multiple-server service centers with constrained queues or waiting times. Annals of Operations Research, 2002(111): 35-50
[36] Current, J.R. and Marsh, M. Multi-objective transportation network design and routing problem: taxonomy and annotation, European Journal of Operational Research,l993, 65(2):4-19
[37] Klose, A., Drexl, A. Facility location models for distribution system design. European Jo urnal of Operational Research,2005,162(1):4-29
[38] Melkote, S. et al. An integrated model of facility location and transportation network design.Transportation Research. 2001,35 A(6):515-538
[39] LeBlanc, L. J.An algorithm for the discrete network design problem. Transportation Science, 1975,9:183-199
[40] O'Kelly M. E. The location of interacting hub facilities. Transportation Science, 1986,20: 92-106
[41] O'Kelly M. E. Activity levels at hub facilities in interacting networks. Geographical Analysis,1986,18:343-356
[42] Kara B. Y and B. C. Tansel.On the single-assignment p-Hub center problem. European Journal of Operation Research,2000,125:648-655
[43] Ebery J.M. Krishnamoorthy. The capaciated multiple allocation hub location problem: Formulation and Algorithms.European Journal Operational Research,1999,120: 614-631
[44] Bas G. et al. Towards collaborative, intermodal hub networks: a case study in the fast moving consumer goods market.Transportation Research PartE, 2005,41:567—583
[45] O_Kelly, M.E.,Bryan,D.L.Hub location with flow economies of scale. Transportation Research Part B:Methodology, 1998,32(8):605-616
[46] O_Kelly, M.E., Miller, H.J. The hub network design problem, a review and synthesis. Journal of Transport Geography, 1994,2(1):31-40
[47] Marianov V. Location of hubs in a competitive environment. European Journal of Operational Research, 1998,114:363-371
[48] R.H.Ballou.Dynamic warehouse location analysis. Journal of Marketing Research, 1968, 5:271-276
[49] Sweeney D.J., Tatham RL. An improved long- run model for multiple warehouse location. Management Science, 1976,22(7):748-758.
[50] T. J. VanRoy, Erlenkotter D.A dual-based procedure for dynamic facility location. Management Science, 1982,28(10): 1091-1105
[51] S. Alexander, An algorithm for solving dynamic capacity plant location with discrete expansion sizes, Operations Research, 1991 (39):423-436
[52] Cem Canel, An algorithm for the capacitated, multi-commodity multi-period facility location problem,Computers & Operations Research,2001,28: 411-427.
[53] John Current, Samuel Ratick, Charles Revelle. Dynamic facility location when the total number of facilities is uncertain:A decision analysis approach [J].European Journal of Operational Research, 1997(110):597—609.
[54] Simon Croom, Pietro Romano, Mihalis Giannakis.Supply chain management: an analytical frameworkfor critical literature review. European Journal of Purchasing & Supply Management,2000,6:67～83
[55] A. Gunasekarana, E.W.T. Ngaib, Build-to-order supply chain management: a literature review and framework for development. Journal of Operations Management,2005, 23:423-451
[56] Hong Yan., Zhenxin Yu, T.C. Edwin Cheng. A strategic model for supply chain design with logical constraints: formulation and solution.Computers & Operations Research,2003,30:2135-2155
[57] Gerald Reiner.Customer-oriented improvement and evaluation of supply chain processes supported by simulation models. International Journal of Production Economics,2005,96:381-395
[58] Ram Narasimhan, Santosh Mahapatra.Decision models in global supply chain management. Industrial Marketing Management, 2004,33:21-27
[59] Tung-Lai Hu, Jiuh-Biing Sheu, Kuan-Hsiung Huang.A reverse logistics cost minimization model for the treatment of hazardous wastes.Transportation Research Part E, 2002, 38:457-473
[60] Kee-Hung Lai, E.W.T.N. gai, T.C.E. Cheng.An empirical study of supply chain performance in transport logistics. Int. J. Production Economics, 2004,87:321-331
[61] S.H. Ghodsypour, C. O'Brien. The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. Int.J.Production Economics, 2001,73:15～27
[62] Jawad, Dima J. Life cycle cost optimization for infrastructure facilities.PhD Dissertation, the State University of New Jersey, 2003
[63] Pierre Arnold, Dominique Peeters, Isabelle Thomas.Modelling a rail/road intermodal transportation system. Transportation Research Part E, 2004,40:255-270
[64] Frank Southworth, Bruce E. Peterson.Intermodal and international freight network modeling. Transportation Research Part C,2000, 8:147～166
[65] Donald P. Warsing, Gilvan C. Souza, Noel P. Greis.Determining the value of dedicated multimodal cargo facilities in a multi-region distribution network. European Journal of Operational Research, 2001,133:81～93
[66] Kuo-chung Shang, Peter B.Marlow. Logistics capability and performance in Taiwan's major manufacturing firms. Transportation Research Part E, 2005,41:217-234
[67] Kokaz, Karolin, Optimal modal transport choice in the face of different strategies for air quality management in urban transportation planning.PhD Dissertation,Harvard University,2002
[67] Ming Dong, F. Frank Chen. Performance modeling and analysis of integrated logistic chains: An analytic framework.European Journal of Operational Research, 2005,162: 83-98
[68] Kuo-chung Shang, Peter B.Marlow. Logistics capability and performance in Taiwan's major manufacturing firms. Transportation Research Part E,2005,41:217-234
[69] 李宏亮．城市物流基地选址问题研究[J]．物流科技．2004，27(108)：69-73
[70] 何刚、魏连雨．基于人工神经网络第三方物流企业的物流中心选址研究[J]．物流科技．2004，27(103)：4-7
[71] 田青等．基于运输规划和组合GA的基本物流网络设计[J]．清华大学学报(自然科学版)．2004，44(11)：1441-1444
[72] 李春海，缪立新．区域物流系统及物流园区规划方法体系[J]．清华大学学报(自然科学版)．2004，44(3)：398-401
[73] 周骞等．物流园区规划的若干问题探讨[J]．长沙交通学院报．2003，19(1)：73-77
[74] 孙会君，高自友．物流配送中心合理选址研究[J]．技术经济，2002，179(11)：62-64
[75] 陆琳琳，张任颐．一种新的物流中心选址方法[J]．物流科技2003，26(97)：28-30．
[76] 于海生，赵林度．物流网络中多设施选址模型[J]．物流技术．2004，1：33-35．
[77] 孙会君，高自友．考虑路线安排的物流配送中心选址双层规划模型及求解算法．中国公路学报[J]，2003，16(2)：115-119
[78] 杨波．多品种随机数学模型的物流配送中心选址问题[J]：中国管理学，2003，11(2)：45-49
[79] 袁庆达，陈旭梅，黎青松．基于“服务型”物流战略的p-Center选址问题研究[J]．西南交通大学学报，2001，36(3)：250-253
[80] 王战权，杨东援．配送中心的遗传算法研究．物流技术[J]，2001(3)：11-14
[81] 张培林，魏巧云．物流配送中心选址模型及其启发式算法[J]．交通运输工程学报，2003，3(2)：65-68
[82] 李军，郭耀煌．物流配送：车辆优化调度理论与开发[M]．北京：中国物资出版社，2001
[83] 袁庆达，杜文，周再玲．带软时间窗的混合车队车辆路线安排问题的模型和算法研究[J]．西南交通大学学报，2000，36(4)：401—406
[84] 李军，谢秉磊，郭耀煌．有时间窗的非满载车辆调度问题的遗传算法[J]．系统工程学报，2000，15(3)：290—294
[85] 李清泉，张金亭，黄经南．一个物流配送优化算法[J]．武汉大学学报(信息科学版)，2003，28(1)：9—13
[86] 刘冲．城市物流网络优化研究：[硕士论文]．大连：大连理工大学，2005
[87] 宋寒，交通网路平衡下的城市物流中心布局规：[硕士论文]．西安：长安大学，2005
[88] 黄福华．长株潭城市群发展的物流战略与实现途径[J]．民族论坛．2002(2)：14—17
[89] 李晓娜．我国现代物流园区发展模式探讨：[硕士论文]．长沙：中南大学，2003．
[90] 过秀成．区域物流需求分析模型及其算法[J]．东南大学学报(自然科学)．2001，31(3)：24～28
[91] 魏连雨，庞明宝．基于神经网络的物流量预测[J]．长安大学学报(自然科学版)．2004，24(6)：55-59
[92] 张凤荣，金俊武．灰色系统模型在物流货物量预测中的应用[J]．工业技术经济．2003，30(6)：72-73
[93] 王晓原，张敬磊．区域物流需求分析集对聚类预测模型研究[J]．软科学，2004，18(5)：11-13
[94] 初良勇等．组合预测模型在物流需求预测中的应用[J]．大连海事大学学报．2004．30(4)：43-46
[95] 王利等．现代区域物流规划的基本框架[J]．经济地理．2003，23(5)：601～605
[96] 王雨晴．吴远开．区域物流基础设施资源整合的因素分析与方法研究[J]．物流技术，2005(3)：8～12
[97] 鞠鸽腾．现代物流园区的功能规划与建设[J]．上海经济研究．2003(2)：75～80
[98] 高红建．物流园区功能设计和选址问题研究：[硕士学位论文]．长沙：中南大学，2003
[99] 张晓东．物流园区空间布局理论研究：[博士学位论文]．北京：北方交通大学，2002
[100] 赵闯．城市物流节点布局规划理论与方法：[博士学位论文]．北京：北京交通大学，2005
[101] 韩勇．物流园区系统规划的理论、方法和应用研究：[博士学位论文]，天津：天津大学，2002
[102] 金俊武．物流园区优化布局和物流运行关键技术的研究：[博士学位论文]，吉林：吉林大学，2004
[103] 云俊．物流园区预测方法及应用研究：[博士学位论文]．武汉：武汉理工大学，2003
[104] 王成金，我国物流企业的空间组织研究：[博士学位论文]．南京：南京师范大学，2005
[105] 国家质量技术监督局，物流术语GB／T 18354—2001[M]．北京：中国标准出版社2001，4
[106] 王之泰．新编现代物流学[M]．北京：首都经济贸易大学出版社，2005
[107] 王键．现代物流网络系统的构建[M]．科学出版社，2005：58—126
[108] 丁俊发．关于物流园区的八点思考[R]．第三次全国城市物流园区(基地、中心)交流研讨会暨第十次中国物流专家论坛论文集，2005，7
[109] 吴晓军．产业集群与工业园区建设—欠发达地区加快工业化进程路径研究：[博士学位论文]，南昌：江西财经大学，2004
[110] 马建会．产业集群成长机理研究：[博士学位论文]．广州：暨南大学．2004
[111] 王辑慈．创新的空间—企业集群与区域发展．北京：北京大学出版社，2001
[112] 赵涤非．产业集群的内在机理和发展模式分析：[博士学位论文]．沈阳：沈阳农业大学，2004
[113] 耿明斋．现代空间结构理论回顾及区域空间结构的演变规律[J]．企业活力，2005(11)：16—20
[114] 陆玉鹿．区域发展中的空间结构研究[M]．南京：南京师范大学出版社，1998：38— 39
[115] 陆大道．区域发展及其空间结构．北京：科学出版社，1998
[116] 沃尔德罗普．复杂：诞生于秩序与混沌边缘的科学[M]．陈玲译．北京：三联书店，1997：310-311
[117] 普利高津(湛敏 译)．确定性的终结[M]．上海：上海科技教育出版社，1998：5-6
[118] 周成虎等．地理元胞自动机[M]．北京：科学出版社，1999．26-27，38-39
[119] 钱学森，于景元，戴汝为．一个科学新领域—开放的复杂巨系统及其方法论[J]．自然杂志，1990，13(1)：3-10
[120] 陈禹．复杂适应系统(CAS)理论以及应用—由来、内容与启示[J]．系统辩证学学报，2001，9(4)：35-36
[121] 汪应洛．系统工程理论方法与应用[M]．北京：高等教育出版社，2001
[122] 霍兰．隐秩序[M]．周晓牧译．上海：上海科技教育出版社，2000
[123] 张得志．区域物流系统演化机理研究[C]．见：2005年全国博士生学术论坛(交通运输工程学科)：691—695
[124] 朱薇薇，现代物流的发展历程及其在我国发展的趋势[J]，交通世界，2005(7)：56-63
[125] 张乐乐、冯爱兰．现代物流与传统物流的比较分析[J]，物流技术2005(7)：5-8
[126] 丁俊发．入世三年与中国物流业[M]．北京：中国物资出版社，2004
[127] 周启蕾．现代物流业形成机理与推进策略[M]．北京：北京大学出版社，2004
[128] 宋则，常东亮．中国物流成本前沿问题考察报告[J]．财贸经济，2005(7)：43—47
[129] 王学颖．2005年欧洲的电子商务．环球采风[J]，2005(12)：48—50
[130] 郑淑蓉．我国电子商务10年发展[J]．电子商务．2005(11)：55—58
[131] 刘斌．产业集聚竞争优势的经济分析[M]．北京：中国发展出版社，2004
[132] 顾朝林．产业结构重构与转移—长江三角洲地区及主要城市比较研究[M]．南京：江苏人民出版社，2003
[133] 南开大学现代物流研究中心．中国现代物流发展报告(2005)[R]，北京：机械出版社，2005
[134] 张宏武，时临云．日本构建物流体系的经验对我国的启示[J]，中国流通经济，2005(9)：15—18
[135] 杜木恒．现代物流的经济分析[J]．现代财经，2002，5(22)：40—44
[136] 李海建，谢五届，曹有挥．区域物流中心(城市)空间体系及驱动机理研究[J]．世界地理研究，2005，14(4)：35-42
[137] 章志刚．现代物流与城市群经济协调发展研究：[博士学位论文]．上海：复旦大学，2005
[138] 龙江．物流成长与创新[M]．北京：中国物资出版社，2005：90—91
[139] 马立宏．区域物流增长机理分析：[博士学位论文]．北京：北方交通大学，2002
[140] 李海建．安徽省物流地域系统的“轴—辐”(Hub-and-Spoke)模型研究：[硕士学位论文]．合肥：安徽师范大，2004
[141] 牛慧恩等．物流用地与物流园区[J]．规划师，2001(2)：7-11
[142] 沈小峰等．耗散结构论[M]．上海：上海人民出版社，1987．
[143] 段晓静．耗散结构理论及其广泛应用[J]．乐山师范学院学报，2003，18(4)：64-67
[144] 王孟钧等．建筑市场管理的自组织理论及其实现[J]．湖南大学学报(自然科学版)2001，8，28(4)：121-126．
[145] 李才伟．元胞自动机及其复杂系统得时空演化模拟：[博士学位论文]．武汉：华中理工大学，1997
[146] Xie,Y., Analytical Model and Algorithms for Cellular Urban Dynamics,Ph.D.Thesis, University of New York, 1994
[147] 黎夏，叶嘉安．基于神经网络的单元自动机CA及真实和优化的城市模拟．地理学报，2002，57(2)：159—166
[148] 何春阳．北京地区城市化过程中土地利用／覆盖变化动力学研究：[博士学位论文]．北京：北京师范大学，2003
[149] 罗平．地理特征元胞自动机及城市土地利用演化研究：[博士学位论文]．武汉：武汉大学，2004
[150] 姜锐．交通流复杂动态特性的微观和宏观模式研究：[博士学位论文]．合肥：中国科学技术大学，2002
[151] 于鑫．基于元胞白动机的流行病传播模型及模拟[J]．计算机工程与应用 2005(2)：205—209
[152] 谭跃进等．系统学原理[M]．长沙：国防科技大学出版社，1996
[153] 王红，闾国年．城市细胞自动机模型研究的回顾与展望[J]．经济地理，2003，23(2)：154-157
[154] 戴禾．物流基础设施体系规划中的若干理论与方法研究：[博士学位论文]．上海：同济大学，2003
[155] 许道涛．多时期多配送中心选址点的最优变化轨迹问题研究：[硕士学位论文]．杭州：浙江大学，2004．
[156] 戴禾，刘兴景等．物流园区选址问题研究[J]．综合运输，2001(2)：30—33．
[157] 徐杰，郑凯等．物流中心选址的影响因素分析及案例[J]，北方交通大学学报，2001(5)：80—82
[158] 徐杰，田源等．物流中心选址的影响因素分析及案例[J]．物流技术，2002(2)： 28—31
[159] 杨丰梅等．选址问题研究的若干进展[J]．运筹与管理，2005，14(6)：1-7
[160] 何刚，魏连雨．基于人工神经网络第三方物流企业的物流中心选址研究[J]．物流科技，2004，27(103)：4-7
[161] 何亚群，胡寿松．基于粗糙集的空军航材供应点的偏好选址[J]．系统工程理论与实践，2003，7：95-99
[162] 孙会君，高自友．一类有竞争的物流配送中心选址模型[J]．交通运输工程学报，2002，2(4)：54-57
[163] 孙会君，高自友．基于分布式工厂的供应链二级分销网络生产计划优化模型[J]．中国管理科学，2002，10(6)：40-43
[164] 赵晓煜．供应链中二级分销网络优化设计方法的研究：[博士学位论文]．沈阳：东北大学，2001
[165] 张得志，谢如鹤等．组合评价法在物流园区选址中的应用[J]．武汉理工大学学报(交通科学与工程版)，2005，29(5)：762—766
[166] 赵东辉，罗誉鑫．层次分析法结合灰色关联分析评价六盘水引水工程方案[J]．水利经济，1996(2)：54—60．
[167] 邓聚龙．灰色系统理论教程[M]．武汉：华中理工大学出版社，1990
[168] 袁嘉祖．灰色系统理论及应用[M]．北京：科学出版社，1991
[169] 陆华，杨家其．模糊排序及启发式算法在物流中心选址中的应用[J]．武汉理工大学学报(交通科学与工程版)．2002，26(3)：389-392
[170] 韩世莲等．多人多准则模糊层次分析法的物流中心综合评价优选模型[J]．系统工程理论与实践．2004(7)：128-134
[171] 梁湖清，陆凤山．企业管理经济学[M]．长沙：中南工业大学出版社，1996．
[172] 于海生，赵林度．物流网络中多设施选址模型．物流技术[J]．2004(1)：33-35
[173] 方述诚，汪定伟．模糊数学和模糊优化[M]．北京：科学出版社，1997
[174] 赵晓煜，汪定伟．供应链中二级分销网络优化设计的模糊机会约束规划模型[J]．控制理论与应用，2002，19(2)：249-252
[175] 陆化普，王超．两层层物流中心规划模型求解的遗传算法[J]，土木工程学报(交通工程分册)，200i，1(1)：1-5
[176] 汤宇卿．城市流通空间研究．北京：高等教育出版社，2002：358-362
[177] 陆凤山．管理经济学[M]．广东经济出版社，1998
[178] 张得志，谢如鹤，罗荣武等．物流配送网络优化模型及其求解算法[J]．武汉理工大学学报(交通科学与工程版)，2006，30(4)：569-572
[179] 谢如鹤，罗荣武，张得志．物流系统规划原理与方法[M]．中国物资出版社，2004
[180] 陈国良等．遗传算法及其应用[M]．人民邮电出版社，1999
[181] 刘宝碇，赵瑞清．随机规划与模糊规划[M]．清华大学出版社，2001
[182] 物流园区专栏，《全国物流园区发展调查查报告》摘要[R]．现代物流报，2006-11-9