Internet-of-Things System Design Based On System Dynamics For A Dynamic Production Logistics Process

A production logistics system is normally subject to high operational dynamics due to the large working area, frequent resource interaction, long operation period, and intensive human involvement. In the past few decades, researchers have applied system dynamics method to structurally design the statistically robust system for common dynamics resisting. However, the production dynamics are gradually unpredictable and can’t be counted, and it’s very difficult and costs a lot to adjust the existing system structure, so the approach which deals with the process dynamics through the structure of reorganization gradually begins to lose its feasibility. Due to the wide application of industrial Internet of Things (IoT) system, it is effective to carry on information sharing for improving the flexibility all over the system operation, which has proved to be the high adaptability method for controlling the system dynamics. Researchers began to study how to design a robust information structure instead and apply real-time control schemes for dynamics control. However, according to the relationship between information sharing and supply chain dynamics, current researches are lake of valuable analyzing and studying the effects of dynamic information and the application solutions with IoT quantitatively.Therefore, this thesis using the system dynamics study and evaluate the feasibility of network system and its configuration from the point of dynamic system for the typical production logistics process based on existing research results, and study how to reasonable deploy the IOT hardware to effectively cope with the uncertainty of system dynamics. In this thesis, the production logistics system will be divided into two levels of internal and external and be studied independently. And using system dynamics to build IOT system and analyze the operation performance indicators of different IOT schemes respectively. Further, we analyze the simulation of production logistics system consists of internal/external production system, and provide the best solution of different SC model for the manager.The main research contents include the following several aspects:(1) Based on system dynamics to the research on the control theory of system dynamic problems, this thesis describes the modeling step and simulation software in detail, which can provide simulation methods and tools for the dynamic analysis of production logistics under the IOT environment.(2) The analysis of the internal production logistics system. In manufacturing system consists of three processing units and two warehouses for the model of internal production logistics. Assuming that production logistics system exist information delay, the change of information flow in system will produce different effects on the operation process and performance under different schemes of information interaction. Further, contrasts different IOT schemes from the system performance indicators of inventory level, production volume, production time and transportation cost.(3) The analysis of the external production logistics system. With milk-run system of industrial park for the model of external production logistics, contrasts different IOT schemes from the system performance indicators of inventory cost and transportation cost.(4) The analysis of production logistics system consists of internal/external production logistics system. Constructing the integration system consists of internal and external, and then evaluate and analysis different IOT schemes from the system performance indicators of inventory cost and transportation cost.