Research On Production Scheduling Optimization Model Of Railway Bearing Manufacturing Enterprise

With the continuous development of production technology, the modernenterprise’s production capacity and production scale are expanding step by step. Inthe process of the development, production enterprise production focus is also madefrom the pure plan before production (or should be greater than a period of turningaround the market demand of production (supply is greater than the demand of TheAges), it also makes the enterprise in a time of a customer order more need to meetcustomer demand better, so as to make enterprise get more customers, more profit andmore social value. And railway traffic in the process of the development of the wholerailway sector has always put safety as a priority in the work, as an importantcomponent in railway locomotive vehicle production, railway bearing can be efficientto complete the production task and it got very important significance.In this paper, aiming at the lack of an effective in railway bearing manufacturingenterprise production scheduling problems are studied, based on the internal andexternal environment for the development of railway bearing manufacturingenterprise and production process of railway bearing were analyzed, and find out theinfluence factors of unreasonable. Through the analysis to use mathematical modelingto study the production scheduling problem, and use genetic algorithm to optimize,and finally by W’s orders and production situation of railway bearing manufacturingenterprise case analysis, we get the W production scheduling and optimizationscheme of railway bearing manufacturing enterprise, and the optimized schedulingresults with manual scheduling, this paper compares and analyzes the result of theanalysis of this paper studies the optimization scheduling model. Finally on therailway bearing manufacturing enterprise, the analysis of existing problems, thescheduling process and formulate corresponding measures to guarantee productionscheduling operation. The main research results of this thesis are as follows:(1) The related literature at home and abroad for further study, on the research ofrailway bearing manufacturing production scheduling and data, through the analysisof literature, tries hard to find in this article, research ideas and methods;(2) The application of multi-objective decision-making theory and geneticalgorithm, the study of railway bearing manufacturing technology, determined by theobjective function, constraint condition analysis, multi-objective optimization theweighting, to build based on delivery time and production time constraints onproduction scheduling optimization model;(3) W railway bearing manufacturing enterprise based on the actual productionequipment and the production situation, to empirical research of W enterprise, verifythe feasibility of the optimization model; (4) According to the results of the study put forward a series of ideas andmeasures in production scheduling optimization, trying to make the research resultshas been applied in the enterprise can truly and implementation.This paper puts forward that railway bearing manufacturing enterpriseproduction scheduling optimization model, for the industry’s most enterprises,especially state-owned enterprises is of great realistic significance, have certaininnovation in terms of application: one is the method of production scheduling modelis applied to railway bearing manufacturing industry, for the benign development ofthe industry to provide support, Second, on the basis of the past on time deliveryrequirements, to join the production cycle of the optimization of ideas, makeproduction process cost control more reasonable. But because of my limitedknowledge, consideration is not comprehensive enough in some places, the study alsoneeds to be deep and perfect.