Research On Production Logistics Management Mode Based On ERP And TOC And Its Key Technologies

Based on presenting three kinds of production logistics management mode of ERP, JIT and TOC, production logistics management mode based on ERP and TOC is proposed. The production logistics control function model and logistics system architecture model under this mode are built. The steps of how to realize this kind of mode are given. The realization way of the key techniques of bottle recognition and bottle production scheduling are given. A prototype system is designed and realized. The dissertation is divided into seven chapters to analyze and research the topics. The detail contents are summarized as follows:In chapter 1, the problems existed in the logistics system of Domestic enterprises are presented and the importance of logistics management under the new competition surrounding are discussed. The logistics control characteristics of Production management mode in existence are introduced.State-of-the-arts of the modern production management techniques are summarized. The main contents, general structure scheme of this dissertation are given.In chapter 2, the principles of ERP and JIT are presented. The push system of ERP and the pull system of JIT in logistics control field are analyzed. The logistics control principles of TOC are summarized in detail.In chapter 3, according as the characteristics of multi-specification, medium and small batch manufacturing enterprises, production logistics management mode based on ERP and TOC is proposed. The production logistics control function model and logistics system architecture model under this mode are built. The steps of how to realize this kind of mode are given.In chapter 4, as to the key technique, bottle recognition, according as the timeliness of the bottle existence and through research on the way of the period of time division, a new way of how to divide the time period is proposed and a search algorithm of period of time of the machine is given to realize this way. Also an example is given to validate the algorithm. At the same time, a handle flow of bottle recognition is given which begin with handling the order.In chapter 5, to the key technique, bottle production scheduling, the way of multi-objective optimization of the fuzzy production rule system isapplied. During the key working procedure scheduling, the traditional model of scheduling is ameliorated considering the adjust time.In chapter 6, according to the theory of bottle recognition in the dissertation, a prototype system is designed and realized. And the two key algorithms program flow in the system are given.In chapter 7, the main results and conclusions of the thesis are summarized and the future work is prospected.