论基于复杂网络理论的供应链建模的文献检索.docx

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1、基于复杂网络理论的供应链建模的文献检索我所研究的方向是基于复杂网络理论的供应链建模问题，现在需要了解一下关于这个论文的国内外研究现状，所以需要通过数据库检索有关文献。检索课题（中文）：基于复杂网络的城市公共交通的研究检索课题（英文）：Research on modeling and simulation Based on Complex Network一、检索工具1、中国期刊全文数据库；2、中国学位论文全文数据库；3、ISTP数据库；4、SDOL外文期刊数据库二、检索过程检索一：中国期刊全文搜索1. 检索过程：图书馆主页-电子期刊下的中国期刊全文-本地镜像-检索界面如下图：在进入模糊检索后，没

2、有搜到与主题想匹配的文献，于是经行高级检索，考虑到基于复杂网络理论的供应链建模问题目前国内外研究的还比较少，相关文献也比较少，所以，在进行高级检索的时间，从关键字字段中查找，一遍扩大检索范围，如下图所示： 有42条记录，但是并不是每一条都与我所检索的有关。由于检索42条不是很多，所以我自己在检索结果中再挑相关的查看。2搜索结果 见上图3文摘记录a供应链的复杂网络模型研究全球经济一体化趋势的不断加强,政治、经济、社会环境的巨大变化,顾客消费水平的不断提高,使得企业间的竞争日益加剧。企业为了提高竞争力而采取了许多先进的技术和管理方法。企业在全球市场中不再作为一个单个实体,而是作为供应链的一部分参与

3、竞争,企业之间的竞争已经转化成为供应链之间的竞争。供应链是在竞争、合作、动态的环境中,由供应商、制造商、分销商、零售商、顾客等实体构成的快速响应环境变化的动态供需网络。 供应链上的企业之间相互作用,关系错综复杂,同时受到其他供应链实体和市场环境的影响,供应链系统是典型的复杂网络系统。目前对供应链的研究多是研究其中的具体运作(微观行为)问题,缺乏对系统整体宏观行为和宏观演化规律的研究。从系统的角度,基于复杂网络理论,探究复杂供需网络的整体宏观行为、生长演化规律,对于供应链管理具有重大的理论意义和实践价值。 本文建立了供需网络的局域世界演化复杂网络模型。首先介绍了供应链系统的基本概念,总结了前人的

4、研究成果,并给出本文的研究思路。其次简单介绍了复杂系统与复杂网络,包括复杂网络的统计特性参数和几种典型的复杂网络模型。b, 复杂供应链网络结构模型研究供应链的形态对其性能有着重要影响,由于商业环境以及信息技术、通讯技术的变化,单链形和单一核心企业供应链网络结构模型已经不能很好地描述和解释当前供应链的形态。本文首先描述了复杂供应链网络结构的四个特点,从节点、节点间流、节点关系、以及节点所处环境四个方面阐述了复杂供应链网络结构的构成,首次系统地提出了供应链节点之间存在的八种流,并建立了复杂供应链网络的结构模型。文章在最后分析了本文的不足,并给出了进一步研究的方向。c复杂供应链网络中的不确定性分析针

5、对供应链网络的复杂性和其内外部环境的不确定性,根据复杂网络理论对供应链网络进行了诠释,利用分形理论构造了一个可能的供应链网络,阐述了供应链网络在具备一般复杂网络特点的同时也具有小世界、无标度网络的大多数特性。同时,对供应链复杂网络中存在的各种不确定性进行了讨论,分析了供应链中不确定性的传播机制与控制方法。研究表明:缩短交货提前期,加强信息交流能有效地提高核心企业应对不确定性的能力,对控制企业不确定性的发生具有重要的作用。检索二：中国学位论文全文搜索1. 检索过程：图书馆主页-学位论文下的中国学位论文全文-远程访问-检索界面如下图:2检索结果3文摘记录a基于缩短复杂网络供应链多阶响应周期的伙伴合

6、作关系优化模型研究本文在对供应链多阶响应周期结构特征和供应链多阶响应周期缩短的关键因素研究的基础上，分析了有效缩短供应链多阶响应周期伙伴合作优化的动态性和稳定性，重点论述了缩短供应链多阶响应周期的伙伴合作优化具体建模问题，主要建立了缩短供应链多阶响应周期的伙伴合作类型选择模型和有效缩短供应链多阶响应周期的排序模型。B基于复杂网络理论的供应链应急管理研究基于复杂网络理论研究供应链应急管理,提出了运用复杂网络理论,可以帮助评价供应链网络的结构,衡量网络的效率,识别供应链网络中的关键节点,从而能够有效地对供应链网络进行防护,同时对将来的研究方向作了展望.C基于复杂网络理论的成品油供应链加权网络实证研

7、究文章应用复杂网络理论,以某省成品油供应链网络为对象,研究供应链网络整体的拓扑特性.结果发现现实供应链网络模型并不能严格符合任何一个现有的网络理论模型;加权网络指标,如单位权和边上权重分布差异性指标能够为企业管理提供一些较为有用的启示;并识别出整个网络中最重要的节点所在供应链级别及分布地点.检索三：ISTP数据库中的搜索1. 检索过程：图书馆主页-文摘型数据库下的ISTP数据库-检索界面如下图TS=(Complex network) AND TS=(supply chain*) AND( TS=(simulation) OR TS=(modeling)2检索结果3文摘记录a Agent dir

8、ected HLA simulation for complex supply chain modelingThe authors outline a new modeling methodology designed to simulate a complex logistics network and to ensure interoperability through application of Intelligent Agent High-Level Architecture for distributed supply chain management.b The evolutio

9、nary complexity of complex adaptive supply networks: A simulation and case study A supply chain should be treated not just as a supply chain but also as a complex adaptive supply network (CASN). However, the literature on Supply chain management has given little attention to the evolutionary complex

10、ity of the network structure and collaboration mechanism of CASNs. In this paper, we first model and simulate the evolution of CASNs based on complex adaptive system and fitness landscape theory. The simulation results indicate the evolutionary complexities such as emergence, quasi-equilibrium, chao

11、s, and lock-in of CASNs. Then, a case study of the evolution of the LVEA (low voltage equipment apparatus) supply network in the emerging Chinese market has been explored to validate the findings from the simulation and develop a better understanding of the general principles influencing the emergen

12、ce, adaptation and evolution of CASNs in the real world. Based on the simulation and the case study, we propose some propositions about the factors and principles influencing the evolutionary complexity of CASNs. The external environment factors and firm-internal mechanisms appear to be the dominant

13、 forces that shape the gradual evolution of CASNs. Factors in the external environment, such as government regulation, market demand and market structure appear to have a long-term impact on the evolution, while a firms strategies, product structure, technology, and organization appear to be the int

14、ernal factors that exert an immediate influence on the evolution of CASNs. Among these factors, cost and quality considerations appear to be the primary forces that influence the structure complexity, centralization and formalization of CASNs. c Modeling and simulation of supply network evolution ba

15、sed on complex adaptive system and fitness landscapeA supply network (SN) is a complex adaptive system, and its structure and collaboration mechanism evolves over time. However, most literature views SN as a static system and the study on the evolution of SNs is very limited. Based on complex adapti

16、ve system and fitness landscape theory, this paper first proposes an evolution model of SNs in order to understand the general principle of SN evolution. Then the paper conducts a multi-agent simulation oil the evolution model, and discloses that the SN emerges and evolves front firms dynamic intera

17、ction under the dynamic environment. Dominated by the environment and firms internal mechanism, the evolution is highly sensitive to the initial condition, and it is path-dependent and difficult to predict precisely. Although the dynamics of environments is different, it SN enjoys the stable structu

18、re in different environments. Higher level of structure stability and fitness of the SN are achieved when the firms in the SN adopt the long-term collaboration strategy rather than the short-term strategy. Finally, a China case is explored which validates the self-organization evolution of SNs.检索四：S

19、DOL外文期刊搜索1. 检索过程：图书馆主页-电子期刊下的SDOL外文期刊-专业检索界面如下图：keywords=(Complex network) AND keywords=(supply chain*) AND tilte=(simulation) OR tilte=(modeling)2检索结果3文摘记录a. Determination and exchange of supply information for co-operation in complex production networksTodays manufacturing industry is characterise

20、d by strong interdependencies between companies operating in globally distributed production networks. The operation of such value-added chains has been enabled by recent developments in information and communication technologies (ICT) and computer networking. To gain competitive advantages and effi

21、ciency improvements such as reduced inventory and higher delivery reliability, companies are introducing information exchange systems that communicate demand to suppliers and production progress information to customers in the network. This article proposes a system that supports co-operation in com

22、plex production networks by enabling companies to determine and exchange supply information with their customers. The requirements for such a system are analysed and it is embedded in a framework of supply chain management business processes. The system facilitates the determination and exchange of

23、meaningful, reliable and up-to-date order status information from the supplier to the customer. Based on comparing the progress of an internal production order with a pre-defined milestone model for each product, the status of the customer order is determined andin case of latenesscommunicated to th

24、e customer together with an early warning. To demonstrate the developed supply information concepts and processes, the business process is implemented as a pilot system and evaluated by the user companies participating in the 5th Framework IST project Co-OPERATE.B A simulation based optimization fra

25、mework to analyze and investigate complex supply chainsA simulation based optimization framework is presented to analyze complex supply chains under uncertainties, which includes three high level modules: deterministic optimization module, simulation module, stochastic optimization module. These mod

26、ules coordinate to address challenging difficulties faced by supply chain management. This framework is applied to optimize the safety stocks of a three-stage divergent supply chain. The effect of supply chain network configurations on safety stocks is also examined.C The evolutionary complexity of

27、complex adaptive supply networks: A simulation and case study A supply chain should be treated not just as a supply chain but also as a complex adaptive supply network (CASN). However, the literature on supply chain management has given little attention to the evolutionary complexity of the network

28、structure and collaboration mechanism of CASNs. In this paper, we first model and simulate the evolution of CASNs based on complex adaptive system and fitness landscape theory. The simulation results indicate the evolutionary complexities such as emergence, quasi-equilibrium, chaos, and lock-in of C

29、ASNs. Then, a case study of the evolution of the LVEA (low voltage equipment apparatus) supply network in the emerging Chinese market has been explored to validate the findings from the simulation and develop a better understanding of the general principles influencing the emergence, adaptation and

30、evolution of CASNs in the real world. Based on the simulation and the case study, we propose some propositions about the factors and principles influencing the evolutionary complexity of CASNs. The external environment factors and firm-internal mechanisms appear to be the dominant forces that shape

31、the gradual evolution of CASNs. Factors in the external environment, such as government regulation, market demand and market structure appear to have a long-term impact on the evolution, while a firms strategies, product structure, technology, and organization appear to be the internal factors that exert an immediate influence on the evolution of CASNs. Among these factors, cost and quality considerations appear to be the primary forces that influence the structure complexity, centralization and formalization of CASNs.三国内外研究现状综述