物联网环境下两级供应链数据共享合作的策略研究

发布时间：2018-09-08 16:35

【摘要】：物联网的应用使得企业内外部资源实现了跨越企业边界的“物-物”相连。供应链中的企业能透过组织边界展示自己或了解合作伙伴的资源状态,实现资源的深度可视性,同时加载了智能终端的资源具备智能优化的能力,能主动或被动地与人或物沟通,对接上下游环节,为供应链实现资源以及信息交换提供了技术支持。相比较于以往的信息共享,物联网技术支持下的供应链成员间实现的是实时数据共享,这意味着资源的可视深度将不好控制,风险损失不易估量。当供应链中的信息交流与共享方式发生变化,将会衍生一系列机会主义行为,因此需要研究供应链主体间数据资源共享的新决策问题,即决策主体需要考虑的不是要不要共享,而是如何共享才能避免自身数据的过分泄露。在以往对供应链合作与协调机制研究的基础上,本文试图通过分析物联网技术的广泛应用对供应链合作产生的影响,探究企业在“物-物”相连的供应链中当进行数据共享时利益博弈机理与决策行为演化的内在机理。本文以上游产品制造商和其下游零售商作为研究对象,研究内容包括:通过引入企业间的信任因数,同时考虑共享数据存在可挖掘价值的影响,建立了包含共享风险损失的不同决策组合情况下的收益模型,针对短期合作的情景,通过博弈理论讨论最优均衡;针对非最优的均衡情况,将逐一提出可行的协调方案。在短期合作中不能实现协调的情况,本文尝试以长期合作为视角,建立了长期重复博弈的总收益函数,讨论均衡状态的变化和改进的空间;当数据价值随时间变化时,进一步改进不同决策选择时的总收益函数,通过对收益函数的趋势分析,讨论累计价值对长期合作关系稳定性的影响;同时,分别就短期与长期分析了存在数据伪装与出售行为时上下游主体的博弈过程及最优策略,得出影响主体决策的因素、相互作用关系以及最优均衡的改进建议。文中还应用Matlab等分析工具对得到的结论进行数值分析并予以验证。
[Abstract]:The application of the Internet of things makes the internal and external resources of the enterprise realize the "material-material" connection across the enterprise boundary. The enterprises in the supply chain can show themselves or know the resource state of the partner through the organization boundary, realize the depth visibility of the resources, and load the resources of the intelligent terminal to have the ability of intelligent optimization at the same time. It can communicate with people or things actively or passively, connect with upstream and downstream links, and provide technical support for resource and information exchange in supply chain. Compared with the previous information sharing, the real-time data sharing among the members of the supply chain supported by the Internet of things technology means that the visual depth of resources will be difficult to control and the risk loss will not be easy to estimate. When the mode of information exchange and sharing changes in the supply chain, a series of opportunistic behaviors will be derived. Therefore, it is necessary to study the new decision problem of data resource sharing among supply chain agents, that is, the decision makers should not consider whether to share or not. But how to share to avoid excessive disclosure of their own data. Based on the previous researches on supply chain cooperation and coordination mechanism, this paper attempts to analyze the impact of the wide application of Internet of things technology on supply chain cooperation. This paper probes into the intrinsic mechanism of profit game mechanism and decision-making behavior evolution when enterprises share data in the "material-material" linked supply chain. In this paper, upstream product manufacturers and their downstream retailers are taken as research objects. The research includes: introducing trust factor among enterprises, and considering the influence of shared data on the value of mining. The income model of different decision combinations including shared risk loss is established. The optimal equilibrium is discussed by game theory in the case of short-term cooperation, and the feasible coordination scheme is put forward one by one for the non-optimal equilibrium. In this paper, we try to establish the total income function of long-term repeated game from the perspective of long-term cooperation, and discuss the change of equilibrium state and the space of improvement, when the data value changes with time, Further improve the total income function in different decision choices, discuss the influence of cumulative value on the stability of long-term cooperative relationship through the trend analysis of income function; at the same time, The game process and optimal strategy of the upstream and downstream agents with data camouflage and sale behavior are analyzed in the short and long term respectively. The factors influencing the decision making the interaction relationship and the improvement of the optimal equilibrium are obtained. Matlab and other analytical tools are also used to analyze and verify the obtained results.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP391.44;TN929.5;F274

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