Research On Production Planning Optimization In MTS Manufacturing

Economic globalization and the advent of the information age have reflected the increasing competitiveness of enterprises in the energy-intensive, highly efficient management and sustainable development and, therefore, In this paper, the optimization of production planning in large scale MTS (Make to Stock)manufacturing is discussed, the model for production planning and the algorithm of optimization is proposed. The paper is organized as follows:First, we introduce the background of the research, including the overview of current status and problems of current research on the production planning of MTS manufacturing, and the method that we used in this paper.Second, we apply input and output analysis to the process manufacturing, setup the input and output model of MTS manufacturing, present the making method of material of input and output analysis table. The application of material input and output analysis table in the analysis of product structure, the proportional analysis of primary production and secondary production, the making and adjustment of production planning are also proposed.Third, we combine the input and output analysis of the MTS manufacturing to object programming, present the deterministic model of production planning in MTS manufacturing, setup the fuzzy production planning model in MTS manufacturing by introduce fuzzy variables. We solve the model using a mixed intelligent algorithm which is a combination of fuzzy simulation, Artificial Neural Network and Genetic Algorithm (GA).Finally, the fuzzy optimization model is applied to a joint steel making enterprise, and an optimal production planning is achieved. The result are given to demonstrate the effectiveness of the approach.The paper makes out the models of optimize enterprise production plans and corresponding algorithms through theoretical analysis, and been applied in actual cases, a certification received in the MTS manufacturing of optimizing enterprise production plans and methods proposed to achieve an innovative algorithm to optimize production plans are theoretical and practical production of a certain significance.