【作者】 吴剑波；

【导师】 刘志学；

【作者基本信息】 华中科技大学 ， 管理科学与工程， 2010， 博士

【摘要】 在VMI模式下,将物流运作外包给第三方物流,虽然能够解决供应商的物流能力和信息能力不足等问题,但同时也增加了VMI运作的复杂性。在基于第三方物流的VMI运作模式(即VMI&TPL模式)下,供应链的信息流和物流必然发生变化。如VMI模式中运输、配送和库存管理的变化；信息源、信息传递和信息共享的变化等。因此,针对引入第三方物流的VMI运作,如何有效地对信息流与物流进行集成,实现第三方物流与VMI的有机结合就成为亟待解决的问题。鉴于此,本文从系统的视角对VMI&TPL模式下信息流与物流集成进行深入研究,达到了预期研究目标,主要创新性研究工作总结如下：(1)在考察VMI策略演变的基础上,阐述VMI运作中引入第三方物流的驱动因素,提出了协同预测环境下VMI&TPL模式,并分析其运作特点；在物流信息分类的基础上,总结提出VMI&TPL模式下所需共享的物流信息,并运用价值工程理论定量分析物流信息的价值。(2)在VMI&TPL模式下,提出了信息流与物流集成的分析框架及流程,从供应商生产能力、TPL物流能力、协调控制、不确定性和风险五个方面详细分析了信息流与物流集成的影响因素,并在信息流与物流集成机理研究的基础上,提出了基于界面的信息流与物流集成总体框架。(3)构建了VMI&TPL模式下信息流与物流集成的系统动力学模型。在明确建模目标、确定系统边界之后,从物流集成子系统、信息流集成子系统、协调控制子系统和风险子系统分析信息流与物流集成的系统结构,分析各子系统内各种因素之间的关系,得出各子系统的因果关系图,从而建立VMI&TPL模式下信息流与物流集成的系统动力学模型,并对模型进行模拟来分析相关因素对信息流与物流集成水平的影响。(4)提出了基于第三方物流的综合信息共享和协同预测两种信息流与物流集成策略,并分别构建IS和CF模式下VMI&TPL系统动力学模型。针对所建立的CF系统动力学模型,选取三个参数作为因子变量,且以供应商生产波动和供应链系统库存波动作为响应变量,采用响应面法对多重目标响应问题进行研究,以考察所选参数对响应变量的影响。研究过程中,应用实验设计与分析软件Design-Expert设计响应面实验,通过模拟运行得出响应变量数据,估计出优化模型的响应面,并求得模型的满意解和系统最优运作水平。更多还原

【Abstract】 In VMI mode, although outsourcing the logistics operation to the TPL could solve the problems including insufficiency of the supplier’s logistics capabilities and information capabilities, yet also brings the complicacies in VMI operation. In VMI based on TPL (VMI&TPL mode as following), the information flow and logistics of the supply chain will inevitably change. For example, the change of transportation, distribution and inventory management in VMI and the change of the information source, information transmission and information sharing etc. Therefore, towards the VMI operation with leading in TPL, it is urgent for us to solve the problem that how to product the efficient integration of information flow and logistics to realize the organic combination of TPL and VMI. For this purpose, from the systemic view, this dissertation deeply analyzed the information flow and logistics integration in VMI&TPL mode and achieved the predicted research objectives.(1)Based on the investigation of VMI strategy evolution, the dissertation expatiated the driving factors of VMI operation with leading in TPL and proposed the VMI&TPL mode in the collaborative forecasting environment and analyzed its operation characteristics. Then, based on the logistics information classification, the dissertation summarized to propose the necessary shared logistics information in VMI&TPL mode and further quantitatively analyzed the value of logistics information with adopting the value engineering theory.(2)An analytical framework and process of the information flow and logistics in VMI&TPL mode is proposed. Then the dissertation detailedly analyzed the influential factors of the information flow and logistics from five aspects including the supplier production capabilities, TPL logistics capabilities, coordination control, uncertainties and risks. Further more, the dissertation proposed the interface-based information flow and logistics integration general framework model with the foundation of information flow and logistics integration mechanism research. (3)An information flow and logistics integrated system dynamics model in VMI&TPL mode is constructed. After clearing modeling target, setting a clear system boundary, the dissertation is from logistics integrated subsystem, information flow integration subsystem, coordination control subsystem and risk subsystem to analyze the system structure of the information flow and logistics integration and analyze the interrelation of various factors among subsystems to obtain the causality graph among subsystems. Then the dissertation established the information flow and logistics system dynamics models in VMI&TPL mode and carried out the simulation analysis towards the model to discuss the impacts brought by the related factors to the information flow and logistics integration level.(4)The comprehensive information sharing and collaborative forecasting information flow and logistics integration strategies are proposed in VMI&TPL mode. According to the two integration strategies, the dissertation separately constructed the VMI&TPL system dynamics models in IS and CF Mode. According to the established system dynamics model, the dissertation selected three parameters as the factors and selected the supplier production fluctuations and supply chain system inventory fluctuations as the response variables. Meanwhile, the dissertation adopted the response surface methodology (RSM) to carry out the research towards the multiple response problems to study the influences brought by the selected parameters towards the response variables. In the research process, the dissertation used the design and analysis of experiments software Design-Expert to design the RSM experiments. Through simulation operation, the dissertation obtained the response variables data; the dissertation estimated the optimizated model’s response surface and obtained the most satisfactory solution and the system optimal operation level.更多还原