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面向用户网络的物流网络自适应运作机制研究
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摘要
在需求占据市场主导地位的今天,如何有效把握外部需求变化,指导物流战略制定和运作,调整组织间的关系、结构以及运作策略和机制,合理有效地整合和共享物流资源,更好地为需求方提供服务,成为物流管理理论与实践研究的重要问题。
     本论文以物流网络理论为指导思想,以自适应理论、动态适应理论为主要依据,结合物流网络化运作的实际需要,建立面向用户网络的视角对物流服务需求进行分析,提出面向用户网络的物流网络自适应运作,并从管理方法和技术保障两个方面就该方式具体的运作机制展开研究。通过该机制的研究与应用以满足物流网络化运作的需求,满足日益复杂的物流用户的服务需求,更好地解决物流服务供给方对需求方的动态适应问题;引导物流产业更智能地、灵活地服务需求,全面提升物流服务效率和服务水平。
     本论文的研究成果是物流网络理论体系的重要组成部分,对现实的物流网络化运作具有一定的指导意义,主要研究内容和成果如下:
     1.确立了面向用户网络的物流网络研究视角,并提出相应的分析工具和理论方法。该视角在充分肯定物流的服务属性的基础上,结合用户网络的需求构成与联系的特点及物流网络化运作的需要,强调需求间和用户间的联系、用户网络整体价值的实现,围绕构建“按需操作的环境”并创造“随取即用的物流”两方面分析和研究物流运作问题,是从需求的角度探讨研究物流网络化运作的新方法。与之相应的分析工具和理论方法包括:物流服务需求的认知与发掘、面向用户网络的资源观、基于用户网络的服务管理。
     2.构建了面向用户网络的物流网络自适应运作机制。利用面向用户网络的视角及相应的分析工具和方法,重点研究了物流服务需求的认知与发掘机制、网络化服务体系的动态重构机制、支持供需耦合的物流资源池机制和面向需求的服务管理与优化机制;它们分别从物流服务需求、物流组织、物流资源、物流服务四个方面,就物流网络化运作问题进行探讨。
     3.研究了面向用户网络的物流网络自适应运作机制的技术支撑体系。重点设计与优化了面向用户网络的物流网络自适应运作辅助管理平台体系结构与模型、自适应功能模块和神经网络自适应控制算法。该部分“嵌入”具体的物流运作系统中,监督、指导和控制物流网络化运作流程,保障自适应机制发生效用,确保自适应运作的高效进行。图44幅,表7个,参考文献219篇。
It becomes an important issue of the logistics management theory and practice to effectively grasp the changes in external demand, to guide logistics strategy development and operation, to adjust the relationship between organizations, structure and operation strategies, to rationally and effectively integrate and share logistics resources, and to provide services for the demand side better, on demand-led era.
     This thesis, which is in the guidance of logistics network theory, based on the adaptive theory and the dynamic adaptation theory, combined with the actual needs of the logistics network operation, establishes the perspective of user-oriented network to analyze the logistics services demand. And then, it proposes the mode of adaptive operation of the user-network-oriented logistics network, and studies the operation mechanism of them from two aspects:the management methods and technology. Through the construction and application of this mechanism, it hopes to meet the demand for logistics network operation, to meet the increasingly complex logistics services needs of users, to solve the dynamic adaptation of the supply side to demand side of logistics services more flexibly and intelligently, and to guide the logistics industry advance in the direction of demand-oriented logistics services, and to enhance the efficiency and service levels.
     The topic of this research will become an important part of the logistics network theory. It has important guiding significance for the reality logistics network operation. The main contents and conclusions are as follows:
     l.The user-network-oriented perspective, the user-network-oriented analysis and research methods are proposed. They are the new methods of the logistics network operation, with the sufficient acknowledgment of the attribute of the logistics services, from the perspective of the logistics demand side, to combine with the constitution of the demand of the user-network, to combine with the characteristic of the relation of the demand and the need of logistics network operation, to emphasize on the relation of the demand and the user, to emphasize on the realization of the overall value of the user-network, to analysis and research the logistics operation problems from two aspects:the construction of the operation environment on-demand and the creation of the logistics in-need. The user-network-oriented analysis and research methods are as follows:the cognition and explore of logistics services demand, the demand-oriented view on logistics resources and the service management based on user-network.
     2.The adaptive operation mechanism of the user-network-oriented logistics network is proposed. The key mechanisms are studied as follows:the mechanism of the cognition and explore of logistics services demand, the mechanism of the dynamic reconstructing of the network service system, the mechanism of the logistics resource pool supporting supply coupled with demand, the mechanism of the demand-oriented service management and optimization, by means of the user-network-oriented perspective, the user-network-oriented analysis and research methods. These mechanisms investigate the problem of the logistics network operation from four aspects:logistics services demand, logistics organization, logistics resources and logistics service.
     3.The technical support system of the adaptive operation mechanism of the user-network-oriented logistics network is studied. The key design and optimization are studied as follows:the architecture and the model of the adaptive operation auxiliary management platform, the adaptive function module and the neural network adaptive control algorithm. The technology is embedded into the logistics operation system in order to supervise, guide and control the logistics network operation, and to make sure the adaptive operation mechanism to be effective and the adaptive operation to be efficient.
引文
[1]鞠颂东.物流网络:物流资源的整合与共享[M].社会科学文献出版社.2008.17-23
    [2]徐杰,鞠颂东.物流网络的内涵分析[J].北京交通大学学报(社会科学版).2005.22-26
    [3]-王之泰.启动理性的物流需求[J].中国流通经济.2009(07).28-30
    [4]中国社会科学院新闻与传播研究所.中国新媒体发展报告(2011)[R].2011.7.12
    [5]中国互联网络信息中心.第27次中国互联网络发展状况统计报告[R].2011.1.19
    [6]柴燕菲,汪恩民.十二五规划电子商务将被列入战略性新兴产业[OL].http://www.chinanews.com/it/2010/12-17/2727851.shtml.2010.12.17
    [7]宦璐.电子商务市场规模预计超万亿,物流业集中度将不断提高[0L].http://stock.sohu.com/20110519/n307947627.shtml.2011.5.19
    [8]中国电子商务的未来格局[OL].http://www.cbinews.com/university/news/2011-03-14/154432.htm.2011.3.14
    [9]王树华.汽车零部件物流发展的趋势与对策[J].江苏商论.2007(01).58-60
    [10]马增荣.汽车零部件物流发展概况与趋势[J].物流技术与应用.2007(07).57-62
    [11]刘文茹,赵启兰,王耀球.论区域性物流中心的建设[J].物流技术.2001(06).25-27
    [12]国务院.物流业调整和振兴规划(国发[2009]8号)[0L].http://www.gov.cn/zwgk/2009-03/13/content_1259194.htm.2009.3.10
    [13]中国物流与采购联合会.关于推进制造业与物流业联动发展的政策建议[J].中国物流与采购.2009(19).26-28
    [14]大民银行.2010中国区域金融运行报告[R].2011.6.1
    [15]国家发展改革委.2009农村基础设施建设发展报告[R].2009.9
    [16]易观智库.2010年第4季度中国网上零售市场规模达1728亿,出版物环比增长近4[OL].http://www.enfodesk.com/SMinisite/index/articledetail-type_id-1-info_id-57 61.html.2011.2.6
    [17]国家邮政局.关于2010年12月邮政业消费者申诉情况的通告[EB/OL].http://www.gov.cn/gzdt/2011-01/28/content_1794610.htm.2011.1.28
    [18]徐杰.物流组织网络:结构与运作[M].社会科学文献出版社.2008.75-82
    [19]卞文良.物流信息网络:构建与运作[M].社会科学文献出版社.2008.80-185
    [20]耿勇.物流基础改施网络规模确定方法研究[D].北京:北京交通大学经管学院.2007.12
    [21]刘韧.物流信息网络任务协调机制[M].社会科学文献出版社.2009.6
    [22]王都.铁路特种货物物流网络构建及运作研究[D].北京:北京交通大学经管学院.2008.10
    [23]衣春光.网络型物流企业集成化运作机制研究[D].北京:北京交通大学经管学院.2008.10
    [24]周建勤.面向线状需求的物流节点选址研究[D].北京:北京交通大学经管学院.2010.12
    [25]Jie Xu, Songdong Ju. Research on the economy effect of logistics network organization[C]. Services Systems and Services Management,2005. Proceedings of ICSSSM'05. 2005 International Conference 2005.407-410
    [26]Chun-guang Yi; Song-dong Ju; Service Reliability Analysis on Logistics Network[C]. Service Operations and Logistics, and Informatics,2006. SOLI'06. IEEE International Conference.2006.57-61
    [27]Songdong Ju, Wenliang Bian. Multi-event complex logistics network model [C]. Service Operations and Logistics, and Informatics,2008. IEEE/SOLI 2008. IEEE International Conference.2008.1181-1185
    [28]Wenzheng Wu, Songdong Ju, Jie Xu. Research on Logistics Resources Integration in View of Logistics Networking [C]. Information Science and Management Engineering (ISME),2010 International Conference.2010.325-330
    [29]Yin Jing, Ding Jingzhi, Ju Songdong, Xu Jie, Hui Kai. An empirical study of the relationship between logistics network level and logistics effect[C]. Service Systems and Service Management (ICSSSM),2010 7th International Conference.2010.1-6
    [30]Han Shu-yi, Xu Jie, Hui Kai, Ju Song-dong. An empirical study on the Mechanism of Action between three Logistics Sub-networks [C]. Information Science and Engineering (ICISE),2010 2nd International Conference.2010.5637-5640
    [31]Yasunaga.T., Ota, J.; Kobayashi, T.; Ito, T.; Higashi, T.; Tamura, H. Development of design algorithm for logistics networks [C].Intelligent Robots and Systems,2004. (IROS 2004). Proceedings.2004 IEEE/RSJ International Conference.2004.1251-1256
    [32]Lyons. J, Ritter. J, Thomas. K., Militello. L, Vincent. P. Collaborative Logistics:Developing a Framework to Evaluate Socio-Technical Issues in Logistic-Based Networks[C]. Collaborative Technologies and Systems,2006. CTS 2006. International Symposium.2006.208-214
    [33]Fang-Hua Ning, Zhi-Hong Wang, Wu-Jia Yu, Cong-Yu Cui. Research on Mechanism and Coordinated Strategy of Collaborative Logistics Network [C]. Machine Learning and Cybernetics,2007 International Conference.2007.225-230
    [34]Qiaohong Zu, Hui Wang, Haiyao Gao, Ting Wu. Research on the complex regional logistics network and its evolution mechanism [C].Web Society,2009. SWS '09.1st IEEE Symposium.2009.189-193
    [35]Chen Guorong, Yan Ping, Deng Juli, Xiong Qian. A designing method based on Matthew effects for logistics network[C]. Logistics Systems and Intelligent Management,2010 International Conference.2010.193-196
    [36]Thomas Huth, Dirk C. Mattfeld. Integration of vehicle routing and resource allocation in a dynamic logistics network[J]. Transportation Research Part C: Emerging Technologies, Volume 17, Issue 2.2009(04).149-162
    [37]EunSu Lee, Farahmand, K. Simulation of a base stock inventory management system integrated with transportation strategies of a logistic network [C]. Winter Simulation Conference (WSC), Proceedings of the 2010.2010,1934-1945
    [38]Zheng Jing, Xiu Xue-Fang. The Application of AHP to Evaluate the Influencing Factors in the Logistics Network Distribution of Ningbo[C]. Information and Computing Science,2009. ICIC'09. Second International Conference.2009.390-393
    [39]Mao Hai-jun, Ji Xing-zhao, Li Xu-hong, He Jie, Rei Wei-na, Qiao Xin-ni. Research on Remanufacturing Reverse Logistics Network Facility Location Projects Simulation Evaluation [C]. Management Science and Engineering,2007. ICMSE 2007. International Conference.2007.488-494
    [40]Zhao Ya Peng; Ding Yi Zhong; Optimization Model for Closed-loop Logistics Network Design in Manufacturing and Remanufacturing System [C]. Service Systems and Service Management,2007 International Conference.2007.1-4
    [41]Zhao Ya Peng, Ding Yi Zhong. Optimization Model for Integrated Logistics Network Design in Green Manufacturing System[C]. Information Management, Innovation Management and Industrial Engineering,2008. ICIII'08. International Conference.2008.138-141
    [42]Yong Zhang, Linjun Xie, Wen Hang, Xiaoyan Cui. A Robust Model for 3PLS to Design a Remanufacturing Logistics Network under the Uncertain Environment[C]. Automation and Logistics,2007 IEEE International Conference.2007.367-372
    [43]Wu Yanyan. Model in Logistics Network Design for 3PL Companies[C]. Logistics Engineering and Intelligent Transportation Systems (LEITS),2010 International Conference.2010.1-4
    [44]Xu Minli, Deng Yu. Optimization model for manufacturing/remanufacturing logistics network of disassembled products [C].Logistics Systems and Intelligent Management,2010 International Conference.2010.1509-1512
    [45]Xiangyun Chang, Jiazhen Huo; Shiang Chen. Study on Integrated logistics Network Model and Network Design for Waste Electrical and Electronic Equipment[C]. Service Operations and Logistics, and Informatics,2006. SOLI'06. IEEE International Conference.2006.654-658
    [46]Bo Yan; Danyu Lee. Application of Genetic Algorithm on Remanufacturing Reverse Logistics Network Model[C]. Future BioMedical Information Engineering,2008. FBIE'08. International Seminar.2008.126-129
    [47]Wang Qinghua, Xiong Xiaozhong, Tian Wenhao, He Liang. Study on Reverse Logistics Network Model for Household Electric Product Based on Genetic Algorithm [C].E-Business and E-Government (ICEE),2010 International Conference.2010.3293-3296
    [48]Zhang Yinggui, Wang Juan, Wang Xinyu, Huang Yi, Wang Xiangyu. Model and algorithm of returned logistics network planning for renewable resources [C]. Logistics Systems and Intelligent Management,2010 International Conference.2010.977-980
    [49]Wei Shanshan, Zhang Kejing. Optimization model of e-waste reverse logistics and recycling network [C]. Intelligent System and Knowledge Engineering,2008.ISKE 2008.3rd International Conference.2008.1436-1442
    [50]Govindan, K, Kannan, D. A bi objective reverse logistics network design model [C]. Computers and Industrial Engineering (CIE),2010 40th International Conference. 2010.1-4
    [51]Ekdahl. B. A game model of logistics network management [C]. Automation Congress,2004. Proceedings World.2004.193-198
    [52]Lin Lin, Mitsuo Gen, Xiaoguang Wang. Integrated multistage logistics network design by using hybrid evolutionary algorithm[J]. Computers & Industrial Engineering, Volume 56,Issue 3.2009(04).854-873
    [53]Phuong Nga Thanh, Olivier Peton, Nathalie Bostel.A linear relaxation-based heuristic approach for logistics network design[J]. Computers & Industrial Engineering, Volume 59, Issue 4,2010(10).964-975
    [54]Lizhen Du, Junjie Wu, Fei Hu. Logistics network design and optimization of closed-loop supply chain based on mixed integer nonlinear programming model [J]. Computing, Communication, Control, and Management,2009. CCCM 2009. ISECS International Colloquium.2009.414-417
    [55]Yong Zhang, Li Xuhong, Haijun Mao, Chenglin Ma. Designing a Hazardous Waste Reverse Logistics Network for Third Party Logistics Supplier under the Fuzzy Environment[C]. Service Operations and Logistics, and Informatics,2007. SOLI 2007. IEEE International Conference.2007.1-6
    [56]Dongai Wang, Wei Guo, Ke Chen. The Design of Reverse Logistics Network Based on Remanufacturing for a Diesel Engine Enterprise [C]. Management and Service Science, 2009. MASS'09. International Conference.2009.1-4
    [57]Zhang Yong, Xie Lin-jun, Li Xu-hong, Wang Su-fang. Designing a Reverse Logistics Network Considering Risk Management [C]. Wireless Communications, Networking and Mobile Computing,2007. WiCom 2007. International Conference.2007.4636-4639
    [58]Gao Pingquan, Fan Houming, Tan Chaofeng, Zhang Jingyao, Li Jiashu, Feng Lin. Research on Returned Logistics Network Planning of Regional Discarded Household Appliance Recycling and Disposal Based on Revenue Maximization [CInformation Management, Innovation Management and Industrial Engineering,2009 International Conference.2009.186-191
    [59]Cong Fu, Yan Wang, Yanqing Xu, Qingquan Li. The logistics network system based on the Google Maps API [C]. Logistics Systems and Intelligent Management,2010 International Conference.2010.1486-1489
    [60]Kusumastuti. R. D, Piplani, R., Lim, G.H. An approach to design reverse logistics networks for product recovery [C]. Engineering Management Conference,2004. Proceedings.2004 IEEE International.2004.1239-1243
    [61]Jeong-Eun Lee, Kyong-Gu Rhee, Hee-Hyol Lee. Multiobjective Hybrid Genetic Algorithm for reverse logistics network design of inventory systems with backordering[C]. Industrial Engineering and Engineering Management (TEEM),2010 IEEE International Conference.2010.2318-2322
    [62]Fathi, M.; Hasanzadeh, A, Raad. A., Dehghanian, F, Mansour, S. Using compromised method in design of reverse logistics network with eco-efficiency consideration [C]. Industrial Engineering and Engineering Management,2009. IEEM 2009. IEEE International Conference.2009.1454-1458
    [63]Ho, W.; Combining analytic hierarchy process and goal programming for logistics distribution network design [C]. Systems, Man and Cybernetics,2007. ISIC. IEEE International Conference.2007.714-719
    [64]Xiu-xia Zhao, Lin Liu, Construct a logistics network platform based on the SNS to integrate the small and medium enterprises logistics resources [C]. Service Operations, Logistics and Informatics,2009. SOLI'09. IEEE/INFORMS International Conference.2009.552-555
    [65]Daqiang Chen, Shaoyu Li, Fengying Qiu, Nafei Xu. Research on hub-and-spoke logistics network construction:An empirical analysis from Zhejiang Province in China [C]. Logistics Systems and Intelligent Management,2010 International Conference.2010.1003-1007
    [66]Meng Xiangru, Jiang Hua. The Construction of Reverse Logistics Network about the Reusable Packages [C]. Measuring Technology and Mechatronics Automation,2009. ICMTMA'09. International Conference.2009.698-701
    [67]Yapeng Zhao. Optimization Design for Multi-Echelon Logistics Network in Remanufacturing System[C]. Intelligent Computation Technology and Automation, 2009. ICICTA'09. Second International Conference.2009.221-224
    [68]Qin Xiao-hui, Ye Huai-zhen, Yang Cheng-hu. An Optimization Design for a Half-Closed-Loop Logistics Network with Uncertainty[C]. Wireless Communications, Networking and Mobile Computing,2007. WiCom 2007. International Conference.2007.4962-4965
    [69]weimin Di. Optimal Design of Returned Logistics Network Based on Genetic Algorithm [C]. Natural Computation,2009. ICNC'09. Fifth International Conference.2009.374-378
    [70]Qiang Liu. Study on Multi-Object Optimization of Logistics Network Based on Genetic Algorithm[C]. Computational Intelligence and Security,2008. CIS'08. International Conference.2008.210-214
    [71]Yanchao Lu, Xiaoyan Li, Litao Liang. Multi-objective optimization of reverse logistics network based on improved particle swarm optimization [C]. Intelligent Control and Automation,2008. WCICA 2008.7th World Congress.2008.7476-7480
    [72]Mirakhorli, A. Multi-objective optimization of reverse logistics network with fuzzy demand and return-product using an interactive fuzzy goal programming approach [C]. Computers and Industrial Engineering (CIE),2010 40th International Conference.2010.1-6
    [73]鞠颂东,徐杰.物流网络理论及其研究意义和方法[J].中国流通经济.2007(08).10-13
    [74]胡志苹,林国顺.基于Agent的物流仓储工作流建模[J].大连海事大学学报(自然科学版).2006,32(04).28-30
    [75]Christian Bierwirth. Adaptive Search and the Management of Logistics Systems [M]. Springer-Verlag New York. LLC.2000
    [76]Valentin Robu, Han Noot, Han La Poutre, Willem-Jan van Schijndel. A multi-agent platform for auction-based allocation of loads in transportation logistics[J]. Expert Systems with Applications.2011(04).3483-3491
    [77]黄光球,王国政,周静.用遗传算法求解物流运输中多级中转站定位优化问题[J].微电子学与计算机.2006(23).47-50,54
    [78]张强,杨成永,姚宝珍,张磊.自适应并行遗传算法求解非对称性旅行商问题[J].物流技术.2010(12).82-84
    [79]李仁安,袁际军.基于改进遗传算法的物流配送路线优化研究[J].武汉理工大学学报.2004(12).99-101
    [80]甘信华,顾晓军.基于物流能力优化的配送中心选址问题研究[J].包装工程.2006(04).159-162
    [81]代颖.模糊需求环境下的连续盘点(Q,r)库存模型[J].预测.2005(06).71-73
    [82]王巍,姚家奕.基于物流网络布局与设施选址动态因素的神经网络——遗传算法的研究[J].北京交通大学学报(社会科学版).2006(03).40-42,47
    [83]曹云忠. 物流中心选址算法改进及其Hopfield神经网络设计[J].计算机应用与软件.2009(03).117-120
    [84]宋崇智,吴玉国,谢能刚.基于神经网络的敏捷制造业自动化物流信息预测的研究与实现[J].中国机械工程.2007(15).1819-1821,1841
    [85]徐红梅,杨兆升,闰长文,王彦新.基于蚁群算法求解物流订单派送问题[J].长安大学学报(自然科学版).2007(11).84-86
    [86]张裕华,潘郁.基于蚁群算法的应急物流配送车辆调度研究[J].物流科技.2009(05).47-50
    [87]张建民,恰汗.合孜尔,梁小强.蚁群算法参数对物流配送路径问题求解的影响[J].计算机与数字工程.2008(12).26-27,45
    [88]付宇,肖健梅.动态自适应蚁群算法求解TSP问题[J].计算机辅助工程.2006(04).10-13,18
    [89]王培崇,钱旭,周玉.求解VRP问题的混合鱼群遗传优化算法[J].计算机工程与应用.2009(24).201-203
    [90]黄光球,姚玉霞,任燕.用鱼群算法求解多级递阶物流中转运输系统优化问题[J].计算机应用.2007(07).1732-1736,1743
    [91]王磊,马磊娟.运用混合人工鱼群算法求解装箱问题[J].技术与市场.2009(07).28-29
    [92]曾中文.配送中心需求量的时间序列预测方法研究[J].物流科技.2007(08).44-46
    [93]朱树人,李文彬,匡芳君.一种带软时间窗的物流配送路径优化遗传算法[J].计算机工程与科学.2005(12).108-110
    [94]龚艳冰,陈森发.基于支持向量机的物流配送中心选址决策[J].公路交通科技.2007(02).140-142,154
    [95]Nilsson, Fredrik. Adaptive Logistics-Using Complexity Theory to Facilitate Increased Effectiveness in Logistics[M]. Lund University.2005
    [96]Fredrik Nilsson, Jonas Wauxiliaryringer. Toward Adaptive Logistics Management[C]. The 38th Annual Hawaii International Conference on System Sciences (HICSS 2005).Big Island, Hawaii, USA2005
    [97]Christian Bierwirth. Adaptive Search and the Management of Logistics Systems[M]. Springer-Verlag New York, LLC.2000
    [98]Christian Bierwirth. Autonomous Co-operation and Control in Complex Adaptive Logistic Systems-Contributions and Limitations for the Innovation Capability of International Supply Networks[M]. Springer-Verlag New York, LLC.1999.12.31
    [99]Xiangyong Li, Peng Tian, Y. P. Aneja. An adaptive memory programming metaheuristic for the heterogeneous fixed fleet vehicle routing problem[J]. Transportation Research Part E:Logistics and Transportation Review. 2010(11).1111-1127
    [100]Atul Pandey, Michael Masin, Vittal Prabhu. Adaptive logistic controller for integrated design of distributed supply chains[J]. Journal of Manufacturing Systems.2007(26).108-115
    [101]Adaptive Planning for Supply Chain Networks[OL]. http://doc.mbalib.com/view/3a52fe498e8f07f789ebbd6ee34d989b.html
    [102]Atul Pandey, Michael Masin, Vittal Prabhu. Adaptive logistic controller for integrated design of distributed supply chains [J]. Journal of Manufacturing Systems, Volume 26, Issue 2,2007(04).108-115
    [103]张磊,郑丕谔.组合预测分析方法及其在物资运输管理中的应用[J].工业工程.2007(05).102-106
    [104]赵启兰,王稼琼,刘宏志.物流规划中的需求与潜在需求分析[J].中国软科学.2004(02).92-95
    [105]黄福华.城市物流需求供给研究[J].物流技术.2007(04).50-53
    [106]张新平.广西物流需求分析与预测——基于产业关联的视角[J].商品储运与养护.2008(04).10-11,14
    [107]郭晓平,张岐山.基于计量模型的物流需求影响因素分析[J].技术与方法.2008(02).55-57
    [108]陈娅娜,赵启兰.区域物流规划中物流需求分析及体系构建[J].铁道物资科学管理.2005(01).27-28
    [109]赵辉.区域物流需求指标体系初探[J].物流科技.2010(02).59-60,145
    [110]王伟,赵亮,黄莉,封学军.基于供需动态均衡的物流节点物流量预测研究[J].中国市场.2009(49).11-15,19
    [111]肖丹,倪梅,李伊松.物流需求分析指标研究[J].铁道物资科学管理.2003(02).33—34
    [112]陆松福.物流需求的弹性概念及其应用[J].中国市场.2007(15).49-50
    [113]杨静蕾,刘秉镰,蒋笑梅.物流服务需求总体规模及趋势分析[J].物流技术.2004(08).13-15
    [114]陈亨福,侯贤超.物流需求质量-第三方物流发展的动力[J].物流科技.2005(05).05-07
    [115]何建佳,徐福缘,牟欣.SDN的一个供需流:物流系统的整合优化分析[J].工业技术经济.2009(02).92-95
    [116]赵皎云.挖掘物流装备市场需求系列报道之一铁路建设大发展带来的物流需求 [J].物流技术与应用.2009(06)29-31
    [117]李彦萍,管政.第三方物流需求的分类研究(上)[J].电子商务.2003(08)76-79
    [118]李彦萍,管政.第三方物流需求的分类研究(下)[J].电子商务.2003(09)76-77
    [119]王丽华,李阳.第三方物流企业市场需求分析[J].物流科技.2007(09).68-70
    [120]王小萃.城市物流需求量的回归模型[J].中国水运:理论版.2007(07).201-202
    [121]方威,肖衡,任湘郴.基于线性回归模型的物流需求预测分析[J].生产力研究.2009(12).94-95.110
    [122]汪宇瀚.预测物流需求的一元线性回归分析法[J].商场现代化.2006(34).136
    [123]扬琳,刘忠波.一元线性回[J]模型在预测物流需求的应用[J].商业文化.2007(10).173-175
    [124]黄虎,蒋葛夫,严余松,廖百胜,夏国恩.基于支持向量回归机的区域物流需求预测模型及其应用[J].计算机应用研究.2008(09).2738-2740
    [125]汤俊,肖建华.区域物流需求预测的LaOR方法[J]商业研究.2007(09).32-35
    [126]Fite J, Taylor G, Usher J, Roberts J. Forecasting freight demand using economics indices[J]. International Journal of Physical Distribution& Logistics Management.2001.31 (04).299-303
    [127]张拥军,叶怀珍,任民.神经网络模型预测运输货运量[J].西南交通大学学报.1999(05).602-605
    [128]杨茂盛,孙珂.人工神经网络技术在物流需求量预测中的应用[J].物流技术.2005(5).39-41
    [129]耿勇,鞠颂东,陈娅娜.基于BP神经网络的物流需求分析与预测[J].物流技术.2007(07).35-37,73
    [130]王隆基,张仲鹏,孙晓霞.基于BP神经网络的物流预测方法[J].起重运输机械.2005(05).30-32
    [131]缪桂根.基于BP神经网络技术的区域物流需求量预测[J].中国水运(理论版).2007(05).131-132
    [132]后锐,张毕西.基于MLP神经网络的区域物流需求预测方法及其应用[J].系统工程理论与实践.2005(12).43-47
    [133]周泰,王亚玲.基于多因素分析的区域物流需求径向基函数网络预测[J].商业研究.2009(09).163-166
    [134]何周林,肖健华.基于SVR的区域物流需求短期智能预测模型研究[J].五邑大学学报(自然科学版).2007(02).70-75
    [135]林荣天,陈联诚.基于灰色神经网络的区域物流需求预测[J].价值工程.2007(2).92-94
    [136]赖一飞,郑清秀,章少强,纪吕明.灰色预测模型在水运货运量预测中的应用[J].武汉水利电力大学学报.2000(02).96-99
    [137]陈森,周峰.基于灰色系统理论的物流需求预测模型[J].统计与决策.2006(03).59-60
    [138]黄敏珍,冯永冰.灰色预测模型在区域物流需求预测中的应用[J].物流科技.2009(03).17-20
    [139]张潜.物流需求灰色预测及其实证分析[J].哈尔滨工业大学学报(社会科学版).2010(01).84-89
    [140]高洁,盛昭瀚.集对分析聚类预测法及其应用[J].系统工程学报.2002(05).458-462
    [141]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(05).11-17
    [142]Garrido, Rodrigo A. Mahmassani, Hani S. Forecasting freight transportation demand with the space-time multinomial probity model [J]. Transportation Research Part B, vol.34. no.4.2000.403-418
    [143]Bahram A, Arjun C, Kambiz R. The demand for US air transport service:a chaos and nonlinearity investigation[J].Transportation Research Part E,2001,37.337-353
    [144]过秀成,谢实海,胡斌.区域物流需求分析模型及其算法[J].东南大学学报(自然科学版).2001(03).24-28
    [145]王荣成.陈才.图们江地区物流长期预测研究的理论与方法[J].人文地理.1999(09).21-25
    [146]刘秉镰.基于价值量的物流需求分析与预测方法研究[J].中国软科学.2004(05).66-73
    [147]王桂霞,何满喜.内蒙古交通运输货运量及货运周转量的预测[J].内蒙古师范大学学报(自然科学汉文版).2001(06).114-118
    [148]牛惠民,尹云川.铁路枢纽内货运量的模糊预测[J].兰州铁道学院学报.1998(03).89-94
    [149]苗鑫,西宝,邹慧敏.物流需求的动态预测方法[J].哈尔滨工业大学学报.2008(10).1613-1616
    [150]马凯,艾力.斯木吐拉.交通规划四阶段法在物流需求预测中的应用[J].重庆交通大学学报(自然科学版).2009(04).745-750
    [151]黄虎.区域物流需求预测模型研究[J].统计与决策.2008(17).62-64
    [152]向小东,张婧旭,陈庚.福建省物流需求中的货物运输量预测研究[J].福州大学学报(哲学社会科学版).2009(03).21-25
    [153]初良勇,田质广,谢新连.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(04).43-46
    [154]程肖冰,张群.区域物流需求预测方法比较分析[J].工业工程与管理.2008(01).94-98
    [155]葛喜俊,刘凯.城市群物流需求网络化结构特征研究及实证分析[J].中国流通经济.2009(09).59-62
    [156]葛喜俊.城市群物流需求网络结构特征分析方法研究[J].物流技术.2007(05).1-4
    [157]中国仓储协会秘书处.中国物流市场供需状况——中国物流市场第三次调查报告[J].商品储运与养护.2001(03).3-9
    [158]中国物流与采购联合会.中国物流发展报告(2005—2006)[M].北京:中国物资出版社.2006.41-44
    [159]中国物流与采购联合会.中国物流发展报告(2006—2007)[M].北京:中国物资出版社.2007.41-45
    [160]薛继东,李永芳.物流供需培育及税收与物流业发展[J]物流工程与管理.2010(32).23-25
    [161]崔晓迪,张东亮.区域物流系统的供需分析[J].中国储运.2007(12).95-97
    [162]崔晓迪,王耀球.基于供需平衡的区域物流耦合系统的研究[J].物流技术.2008(03),6-8,11
    [163]崔晓迪.区域物流供需耦合系统的协同发展评价研究[J].科技管理研究.2010(19).53-56,44
    [164]汪莉.中美第三方物流供需状况的比较研究[J].物流技术.2007(02).9-11
    [165]徐玲玲,谢春林.第三方物流供需联盟的博弈分析[J].商业时代.2006(06).12-13
    [166]郭名,刘岚.从供需层面看中国第三方物流问题[J].物流科技.2005(07).12-15
    [167]刘娟,钱燕云,李静.第四方物流供需双方博弈模型的构建及研究[J].商场现代化.2008(06).149-150
    [168]Morash, E. A., C. L. Droge and S. K. Vickery. Strategic logistics capabilities for competitive advantage and firm success[J]. Journal of Business Logistics.1996,17(01).1-22
    [169]魏际刚.物流需求和物流供给[J].中国物流与采购.2006(04).40-43
    [170]付为,张锦.物流市场供需的动态弹性分析[J].物流技术.2007(06).14-16,32
    [171]李莉,王艳艳,董红.基于供需视角的天津现代物流发展创新模式研究[J].物流技术.2008(04).71-75,99
    [172]范荣华.南阳市物流供需平衡研究[J].物流科技.2009(10).16-18
    [173]郭梅,朱金福.供应链环境下物流供需不平衡控制机制研究[J].集团经济研究.2007(28).103
    [174]闫秀霞,孙林岩.物流服务供需联盟激励机制设计[J].计算机集成制造系统.2008(09).1721-1726
    [175]谢金宝.有供需要求运输问题的数学模型及算法[J]. 中国铁道科学.2009(09).109-115
    [176]张锦,王坤.以物流供需匹配度为目标的流线优化模型[J].西南交通大学学报.2010(04).324-330
    [177]冯纯伯.关于自适应控制理论的发展[J].机器人.1982(02).14-19
    [178]K. S. Narendra, B.B.Peterson,尤建中.自适应控制的发展动态[J].机器人.1983(04).12-17,51
    [179]K. J. STRM,王海宏.自适应控制理论及应用综述[J].机器人.1985(03).7-11
    [180]史忠植.智能主体及其应用[M].北京:科学出版社.2002.
    [181]Singh M P. Multi-Agent System:A Theoretical Framework for Intentions, Know-how, and Communications[M]. Berlin:Springer-Verlag, KG.1994.
    [182]Michael Wooldridge.多Agent系统引论[M].北京:电子工业出版社.2003.
    [183]Wooldridge M J, Jennings N R. Intelligent Agent:Theory and Practice[J]. Knowledge Engineering Review.1995(02).115-152.
    [184]约翰.H.霍兰.译者:周晓牧/韩晖.隐秩序:适应性造就复杂性[M].上海科技教育出版社.2000.08.01.
    [185]李良,郭耀煌.组织理论对复杂系统理论的借鉴[J].管理科学学报.2002.(06).77-80
    [186]孙国强.网络组织系统的结构设计与功能分析[J].系统辩证学学报.2002 (10).24-28
    [187]Teece, D. J. Pisano, G. The Dynamic Capabilities of firrms[J]. Industrial and corporate change.1994(03).537-556
    [188]Eisenhardt, K. M,&Martin, M. Dynamic capabilities:What Are They?[J] Strategic Management Journal.2000.21 (10)
    [189]M Zollo, S G Winter. Deliberate Learning and the Evolution ofDynamic Capabilities[J]. Organization Science.2002.13(03).339-351
    [190]Kusunoki, K., Nonaka, I., Nagata, A.,1998. Organizational Capabilities in Product Development of Japanese Firms:A Conceptual Framework and Empirical Findings. Organization Science,9(6):699-718.
    [191]Hilliard, RM and D Jacobson. Dynamic capability, the Pharmaceutical Industry and Technical Change[C]. Paper Given at the DRUID Summer Conference, Copenhagen. June,2003.
    [192]大卫.波维特.价值网:打破供应链、挖掘隐利润[M].北京:人民邮电出版社.2001(09).7
    [193]马志垚,曹志刚.分布式认知无线电网络用户有效吞吐量的优化[J].清华大学学报(自然科版).2008(04).06-509
    [194]朱宁,陈红勤,聂应高.用户网络学术信息资源利用可信度感知的分析与评价[J].图书馆.2010(05).37-39
    [195]王之泰.物流服务供给与需求研究[J].物流科技.2009(07).01-08
    [196]王之泰.物流服务供给与需求研究(续)[J].物流科技.2009(08).01-05
    [197]王之泰.物流服务供给与需求研究(续)[J].物流科技.2009(09).01-08
    [198]中国物流与采购联合会.关于物流园区发展的政策建议[J].中国物流与采购.2009(19).24-26
    [199]中国物流与采购联合会.关于物流业投融资问题的政策建议.物联研字[2009]91号.2009.9.1
    [200]陈松灿,杨国庆,徐涛.人工神经网络[J].南京航空航天大学学报.1990(02).98105
    [201]邓聚龙.灰色系统[M].北京:国防工业出版社.1985.80—91.
    [202]Dorigo M, Maniezzo V, Golomi A. Ant system:optimization by a colony of coorperating agents[J]. IEEE Transactiom on SMC.1996.26(1).29-41
    [203]Bonabeau E, Dorigo M, Theraulaz G. Inspiration for optimization from social insect behavior[J]. Nature.2000.406(6)
    [204]李智,周龙,王东.基于蚁群算法的往复振动筛运行参数优化设计[J].农业机械学报.2004(03).76-78,82.
    [205]周娟,刘觉夫,李培松,马峰伟.基于树型Petri网的网格资源调度模型[J].计算机工程.2008(24).88-90
    [206]何琨,赵勇.网格环境下资源调度问题的统一建模与分析[J].华中科技大学学报(自然科学版).2006(3).35-38
    [207]黄文明,兰静,张阳.基于改进蚁群算法的网格资源调度[J].北京邮电大学学报.2009(04).111-114
    [208]陈敬雷,吉琨,王海艳,王汝传.基于Agent的新型网格资源调度模型及策略 [J].广西师范大学学报(自然科学版).2008(01).244-248
    [209]李金栋SERVQUAL理论在提升商业银行个人理财服务质量中的应用[J].经营管理者.2009(21).14,11
    [210]施国洪,岳江君,刘庆广, 魏子清SERVQUAL模型在我国图书馆服务质量评价中的适应性研究——基于Kano理论[J].图书情报工作.2009(23).49-52
    [211]王如心.QFD质量机能展开的含义与功能[J].全国商情(经济理论研究).2007(04).26-27
    [212]梁红霞.“田口方法”的集大成者——田口玄一[J].中国质量.2003(10).40
    [213]唐云岚,高妍方,谭旭,陈英武.基于跨越连接的多层前馈神经网络结构分析[J].计算机工程与应用.2009(32).45-47
    [214]梁久祯, 何新贵. 有理式多层前馈神经网络[J]. 控制与决策.2004(03).349-350,354
    [215]徐志英.一种改进的多层前馈神经网络结构研究[J].科学技术与工程.2009(17).4973-4977
    [216]刘坤.基于遗传算法的间接自校正模糊神经网络控制[J].组合机床与自动化加工技术.2004(12).76-78
    [217]张铭钧,吴曙辉,徐建安.基于自校正神经网络的预测控制系统设计[J].哈尔滨工程大学学报.2004(02).171-175
    [218]刑文训,谢金星.现代优化计算方法[M].清华大学出版社.1999(08).13
    [219]De-rong Liu. Neural Network-Based Adaptive Critic Designings for Self-Learning Control. Proceedings of the 9th international Conference on Neural Information Processing,2002(3):1252-1256

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