Production Line Balance And Optimization Research And Implementation

As China’s emphasis on the environment continues to improve, develop sanitation cause has been greatly developed, installed after accompanying compression vehicle application and development in China has entered a new stage, installed after the car has been compression technology content reached a new level. Then loaded compression line balancing the car after optimization problems is an important factor affecting production efficiency for compressed car, so carry loaded compression after car production line balancing optimization study is the necessity and urgency.This paper explains the concept of material production line balancing problem firstly, and then to algorithm and line balancing problems often use at home and abroad, summarized the train of thought. Then research analyzes the x company after compression car production line, production line balancing problem, pointed out that the company belongs to the second line balancing problem, at the same time, also the main factors that influence the production line balancing problem of x company. Because of company x after compression production line process up to 107, it is difficult to effectively optimize x addition to the traditional industrial company after compression car production line, in order to solve this problem, proposed USES double populations genetic algorithm to solve the problem of line balancing, mainly by means of genetic algorithm, effectively solve the production line cannot be further optimized, finally realizes the optimization goal. Effectively with the help of matlab programming tool in this paper, by means of programming the double-population genetic algorithm simulation, and then with the help of classical production balance issue verification algorithm, by using the algorithm to complete the optimization of x company production line simulation work. Data before and after using the statistical analysis method to optimize the x company production line chart analysis comparison, the results of this study verifies the practice. Results show that using this method can optimize the x company production line simulation work, can effectively solve the production line balance and load imbalance problems. Finally according to the result of simulation optimization, to complete the optimization of production line balancing problem X company, and the optimized results compared before and after the analysis and evaluation.The significance of this research study on civilian production line design and provides specific methods, can effectively improve civilian productivity, increase the X’s sanitation products in the country market competition; Through in-depth study of the second type of production balance problems, and the use of improved genetic algorithm has been optimized to solve the problem, the study results show that the balance of research in solving production line, enterprise resource optimization, improve production efficiency, improve the competitiveness of enterprises have better results.