Research On Modeling And Scheduling Of Manufacturing Execution System And Their Application

The manufacturing industry is the material basis of the national economy and the society development, as well as the important embodies of country forward. As the middle layer of the three layer information model of enterprise, MES is the mainstream information system for the management and control of the workshop manufacturing process located between the upper plan management and the bottom process control, and has become the typical field information integration system of enterprises manufacturing process. But under the modern manufacturing mode, application environment of MES is becoming increasingly complex, so there are problems such as inadequate design, weak integration, insufficient resources assessment and poor reconfiguration ability.Taking the automobile supply chain enterprises as the research object, by analyzing the process characteristics and business process of automobile industry chain, to study and establish a MES architecture of five-layer structure including needs analysis layer, business process layer, functional layer, service layer and presentation layer for industry correlation manufacturing mode. Research on modeling of MES based on Petri net, and analysis of the structural characteristics of MES including model complexity, model node characteristics and network core layer, will be be conducive to quantitative description and evaluation of development difficulty and overall design scheme and earlier stage proof for MES. At the same time, the logistics distribution model of MES based on Petri net has been analyzed, and the Dijkstra algorithm has been introduced to search the shortest path. In the whole manufacturing process control, MES not only need to allocate resources and tasks reasonably, but also need to share and compete with limited resources, so there will be a recycling of resources, and bound to occur deadlock [1]. Therefore, the artificial fish swarm algorithm and genetic algorithm applied in the deadlock free scheduling of MES are studied deeply, and the corresponding improvement methods are put forward. Aiming at the dynamic buffers in manufacturing process under the control of MES, a deadlock free scheduling algorithm based on banker’s algorithm has been studied, and a deadlock free scheduling algorithm based on hybrid algorithm has been proposed. Finally, combined with the specific auto industry park, an electronic map configuration structure mapping object properties to an electronic map sampling poin was realized. And an advanced manufacturing simulation factory service platform based on enterprise electronic mapframework of MES was built to simulate the manufacturing process of any product on the automobile supply chain and the construction of MES. Thesis research work are as follows:1. Taking the automobile supply chain as the research object, studying and establishing a MES architecture of five-layer structure including needs analysis layer, business process layer, functional layer, service layer and presentation layer, MES applied in wide fields is established from a wide angle, in order to solve the problem of MES production in part and the problem of MES bulk usage from another angle. Thereby enhancing the MES versatility, reproducibility, conceivability problem. Established and designed an architecture that is based on Microsoft ASP.NET MVC 4 WEB plug-in systems. This architecture can be easily loaded various MES services and changes in the function of MES. The final design and implement basic platform based on enterprise electronic map. This platform provides basic support for MES and configurable configuration function.2.A Petri net model of MES was established by designing MES function decomposition diagram. According to the knowledge of Petri net theory, the model complexity, node characteristics and network core layer of Petri network structure of MES are analyzed and studied deeply. Through the analysis, the MES is not merely a simple system structure. From complexity analysis point of view, the key to optimize the system structure can be focused on optimizing and simplify the interconnection and visits between the various locations or the various databases. By analyzing the characteristics of the model node, for some key functional nodes and resource nodes of MES, the corresponding changes should be avoided or reduced in the maintenance and adjustment process in order to ensure the stability and reliability is not affected when the system is running. In addition, the article also established the core layer of the network model of MES. In the process of designing and testing MES model realization, we must first ensure accessibility and stability of the network core layer to achieve, in order to ensure effective, fast and reliable system design.3. The logistics management and scheduling problems of MES are respectively studied in the view of graph theory and network theory. Using Dijkstra algorithm to analyze search scheduling application of the shortest path, and using Petri nets to establish unidirectional path distribution model of Petri nets and undirected Petri net model, in order to provide adequate support of theories and models for early MES design.4. In view of a limited resource sharing in MES application environment, a deadlock problem in the operating system is introduced to the MES shop scheduling problem. Starting from scheduling and control, modeling based on Petri net and directed graph, studying respectively four kinds of deadlock free scheduling solution of the artificial fish swarm algorithm, genetic algorithm, bankers algorithm and hybrid algorithm, proposing corresponding improvement measures and verifying the result by simulation and experiment.Through the above-mentioned work, framework, modeling and deadlock free scheduling which related to design and implementation of MES architecture are studied in depth, in order to better solve generality, replicability and configurability of MES, and to provide a very important theoretical and practical value for the application of MES. Finally the production of MES is really realized, so as to better service and support the development of supply chain enterprises, and to promote industrial sectors to transform and upgrade.