物联网下基于双边匹配理论的平台企业行为研究

发布时间：2018-06-15 06:52

本文选题：物联网 + 云制造双边市场　；参考：《天津大学》2016年硕士论文

【摘要】：物联网技术的出现和云制造概念的提出引发了世界各国对制造业信息化革命的广泛关注。不确定且多样化的市场需求对企业的制造能力和运营能力提出了更高的要求,云制造模式的出现为整合企业现有的制造资源来满足不断变化的需求提供了可能。企业可以将分布在不同地理区域内的设施资源进行互联,实时地掌握任何智能化资源的可用能力状态。有剩余能力的企业可以出售制造能力,成为资源的供给方;而能力短缺的企业则希望购买可用能力完成生产,成为资源的需求方。这样就形成了一个以剩余可用能力进行交易的双边匹配市场。因此出现了可以为供需双方进行资源的搜索和匹配的云制造资源服务平台。研究该双边市场的特征和结构,为云制造服务平台设计匹配机制使得制造能力资源得到有效匹配及配置,选择合理的定价策略,对云制造市场的稳定发展和社会总福利的提高具有重要的现实和理论意义。本文在分析云制造的新背景和已有研究缺失的基础上,综合运用稳定匹配理论、市场设计理论、博弈论等方法,对物联网环境下云制造平台的企业行为进行研究,主要包括双边市场稳定匹配机制设计和云平台的定价策略两个方面。首先深入分析了云制造资源双边市场的结构和特征,构建了云制造双边市场模型,设计了基于此双边市场的稳定匹配机制,并通过理论和算例证明了其稳定性。在此基础上,考虑平台为主导方,具有公平偏好的供给商为跟从方的两阶段博弈,对比分析公平关切行为对平台和供给方定价行为和效用的影响。本文得出的主要结论如下:(1)交易可用制造能力的双边市场总是存在稳定的匹配结果集;(2)对于一个给定偏好的交易单个可用制造能力的双边市场,可能存在多个稳定匹配结果集,可以分别找到对双边参与企业任一方最为满意的结果集;(3)在供给方无公平关切的情况下,云制造平台的定价水平与市场上供需双方的交叉网络外部性系数和规模相关。在双边用户规模较小时,平台通过低价来吸引用户,当用户规模较大时,平台可以通过提价来获得较高的收益;(4)在考虑供给方公平关切的情形时,云平台的定价和效用降低,与公平关切的程度相关。
[Abstract]:The emergence of the Internet of things technology and the concept of cloud manufacturing have aroused widespread concern about the information revolution of manufacturing industry around the world. Uncertain and diversified market demand puts forward higher requirements for manufacturing and operational capabilities of enterprises. The emergence of cloud manufacturing model provides the possibility to integrate existing manufacturing resources to meet the changing needs. Enterprises can interconnect the facilities resources distributed in different geographical areas and grasp the availability of any intelligent resources in real time. Enterprises with surplus capacity can sell manufacturing capacity and become the supply side of resources, while enterprises with short capacity want to purchase available capacity to complete production and become the demand side of resources. This creates a bilateral matching market in which the remaining available capacity is traded. Therefore, there is a cloud manufacturing resource service platform that can search and match resources for both supply and demand. This paper studies the characteristics and structure of the bilateral market, designs a matching mechanism for cloud manufacturing service platform to effectively match and configure manufacturing capability resources, and selects a reasonable pricing strategy. It has important practical and theoretical significance for the steady development of cloud manufacturing market and the improvement of total social welfare. Based on the analysis of the new background of cloud manufacturing and the lack of existing research, this paper studies the enterprise behavior of cloud manufacturing platform in the Internet of things environment by using the stable matching theory, market design theory, game theory and so on. It mainly includes two aspects: the design of bilateral market stability matching mechanism and the pricing strategy of cloud platform. Firstly, the structure and characteristics of cloud manufacturing resources bilateral market are deeply analyzed, and a cloud manufacturing bilateral market model is constructed. A stable matching mechanism based on this bilateral market is designed, and its stability is proved by theoretical and numerical examples. On this basis, considering the two-stage game in which the platform is the dominant party and the supplier with fair preference is the follower, the influence of the fair concern behavior on the pricing behavior and utility of the platform and the supplier is comparatively analyzed. The main conclusions of this paper are as follows: (1) there is always a stable set of matching results in a bilateral market with available manufacturing capacity for transactions. For a given trade with a single available manufacturing capacity, there may be multiple stable matching result sets. It can be found that the most satisfied result of any bilateral enterprise is that the pricing level of cloud manufacturing platform is related to the cross-network externality coefficient and scale of both parties in the market without the fair concern of the supply side. When the size of bilateral users is small, the platform attracts users through low prices, and when the users are larger, the platform can achieve higher returns by raising prices.) when considering the fair concerns of the suppliers, the pricing and utility of the cloud platform is reduced. It is related to the degree of equity concern.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F425;TP391.44;TN929.5

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