Research On TOC-based Production Operation With Simulation Optimization

The application of the Theory of Constraints(TOC) and DBR control strategy have gradually been proved to be an effective mode of production and operation in the environment of high-mix and low-volume production. The traditional production planning methods can not make the key parameters of DBR quantitative. However, simulation and optimization techniques have become an effective method to solve the problem of the control and management in a complicated manufacturing system. This paper proposes to adopt computer simulation and experimental design method to optimize the key parameters of the management model of Constraints. And this provides a scientific research method and effective means of implementation for realizating rational allocation of operation and control in a production system.Firstly this paper studies related the DBR control mechanism and the key parameters. While methods of experimental design, especially the response surface method are analysed. Based on this, a new framework of simulation and optimization system about production and operation for constraint management is described in this paper. X-planner and Anylogic are applied to establish system models of the two different stages-planning and execution. Methods of operation and control based on TOC are used in production schedule models, where plans are made and generated then, and where simulation system is responsible to achieve simulation authentication and evaluation of planning execution process. Through the simulation of different segments in the production system the process of simulation is closer to reality. It is designed with response surface module of Minitab eventually, from which the mathematics model about the relationship between input and output is obtained. Moreover, related analysis and optimization are available after that.Constraint management thought is applied, with a workshop of a dockyard as the experiment object. Using simulation and optimization system that proposed in this paper to experiment, quantitatively optimizing some parameters related to TOC, with batch size, time buffer and grouping interval regarded as the experimental factor, and the delivery-on-time as the response, reasonable parameter configurations are obtained.Finally, the whole thesis is summarized. After the mode of this new simulation and optimization system is put forward, some suggestions on how to make a further improve have been given, and it will be helpful for future researches.