物联网驱动的两级供应链动力学研究

发布时间：2018-03-27 07:44

本文选题：物联网　切入点：供应链　出处：《广东工业大学》2014年硕士论文

【摘要】：由于新兴消费群体需求动态性的增加、不稳定小／微型供应商群体的不断扩大,供应链系统呈现出越来越高的复杂性和动态性。除采用能预先进行鲁棒性控制的供应链结构设计外,对运作过程实行有效的信息共享以提高供应链的运作柔性,已被证明是有效控制供应链系统动态性的高适应性、强扩展性方法。物联网与先进信息技术在制造企业日益广泛的应用,为全面实现供应链的实时信息共享提供了应用基础和使能环境,为解决供应链动态性控制问题提供了潜在的可能性。然而,针对信息共享度与供应链动态性的关联关系,物联网实时信息环境下的供应链系统的动态性及物联网应用方案的研究却极为缺乏。本研究立足于系统动力学及所衍生的供应链动力学理论,从系统的角度模型化、定量化探讨物联网技术对供应链的动态信息流、运作流程和绩效表现的影响,并通过投入产出分析进行物联网方案可行性判断,具有重要的理论价值和现实意义。本文主要内容如下： (1)基于系统动力学理论和典型的供应链信息共享策略,探讨物联网环境下的供应链动力学研究的必要性,并建立物联网环境下的供应链动力学模型,为全面分析供应链动态性提供仿真方法和手段。 (2)单级供应链系统的动力学研究。本文选择由装配、包装和装箱三道工序组成的典型装配流程作为单级供应链系统的研究对象,以工序间存在信息延迟为主线,面向信息交互策略和供应链系统的动态性展开研究,对不同信息交互模式下的库存水平、生产总量、生产时间的运营指标进行仿真,对比物联网应用方案的成本收益。仿真结果表明,物联网实现了对制造企业信息流的优化和动态控制,为构建高经济可行性的物联网方案提供了途径。 (3)两级供应链系统的动力学研究。本文构建由制造商和零售商组成的两级供应链系统模型,着眼于控制供应链的稳定性和鲁棒性等关键性能,系统地分析不同信息控制策略的信息共享内容、方式、程度对供应链系统运作的影响,并定量化、模型化仿真库存波动的时间、振幅、订单满足率和产能利用率。研究表明,物联网驱动的信息控制策略能高效控制供应链系统的动态性、提高系统稳定性和控制鲁棒性。最后对全文的工作予以总结和展望。
[Abstract]:As a result of the increasing demand dynamics of emerging consumer groups, the growing number of unstable small / micro suppliers, The supply chain system is becoming more and more complex and dynamic. Besides the design of supply chain structure which can perform robust control in advance, the operational process can be effectively shared in order to improve the flexibility of supply chain operation. It has been proved to be a highly adaptive and extensible method to effectively control the dynamics of supply chain systems. The Internet of things and advanced information technology are increasingly widely used in manufacturing enterprises. It provides the application foundation and enabling environment for realizing the real-time information sharing in the supply chain, and provides the potential for solving the dynamic control problem of the supply chain. However, in view of the relationship between the information sharing degree and the supply chain dynamics, the relationship between the information sharing degree and the supply chain dynamics is discussed. The dynamic characteristics of the supply chain system under the real-time information environment of the Internet of things and the research of the application scheme of the Internet of things are extremely lacking. This study is based on the system dynamics and the derived supply chain dynamics theory, and models the system from the point of view of the system. It is of great theoretical value and practical significance to quantitatively discuss the influence of Internet of things technology on the dynamic information flow, operation flow and performance performance of supply chain, and to judge the feasibility of Internet of things scheme through input-output analysis. The main contents of this paper are as follows:. 1) based on the theory of system dynamics and typical information sharing strategy of supply chain, the necessity of research on supply chain dynamics in Internet of things environment is discussed, and the supply chain dynamics model under Internet of things environment is established. The simulation method and means are provided for the analysis of supply chain dynamics. In this paper, the typical assembly process composed of assembly, packing and packing processes is selected as the research object of the single-stage supply chain system, and the main line is the information delay between the processes. Based on the research of information interaction strategy and the dynamics of supply chain system, this paper simulates the operation index of inventory level, total production quantity and production time under different information interaction modes. The simulation results show that the Internet of things realizes the optimization and dynamic control of the information flow in manufacturing enterprises and provides a way for the construction of a high economic feasible Internet of things scheme. In this paper, a two-level supply chain system model composed of manufacturer and retailer is constructed, which aims at controlling the stability and robustness of the supply chain. The effects of information sharing, mode and degree of different information control strategies on the operation of supply chain system are systematically analyzed, and quantified. The time, amplitude, order satisfaction rate and capacity utilization ratio of inventory fluctuation are modeled and simulated. The information control strategy driven by the Internet of things can efficiently control the dynamics of the supply chain system and improve the system stability and control robustness. Finally, the work of the full text is summarized and prospected.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：N941.3

【引证文献】