| This paper summarizes the research findings of the domestic and foreign scholars on the assembly line balancing,using the traditional methods of industrial engineering and genetic algorithm.And it optimizes low power PV inverter's assembly line of T company,having obtained good results and improved the efficiency of assembly line.First,on the basis of brief introductions and overviews of literature theory,this paper introduces the basic concept,terminology and the classification and evaluation criteria of assembly line,the details of the traditional industrial engineering,the related application and so on.With the author's internship experience at T company,it describes the assembly line of 500 kw PV inverter and raises the question of the assembly line optimization.Then,the assembly line was improved by using the traditional industrial engineering methods.The standard operating time of each station and the production cycle have been shorted.And then,for further optimization,build station load balancing model and write code under the double population genetic algorithm by the MATLAB compiler.In addition,numerical simulation proves that the program runs well and it can be used to simulate the optimization in this thesis.Finally,according to the results of the simulation,make the preliminary improvement plan.Considering the actual operation of the production sites,adjust the preliminary improvement plan and get a new plan.This paper compares and evaluates the production status of before and after improvement.It is proved that the optimization of this paper is feasible and effective.This paper adopts traditional industrial engineering method and genetic algorithm to improve the balancing problem of assembly line of T company.The research results show that the research method in this paper has some reference value in solving the problem of similar assembly line balancing and good effects on improving the productivity and competitiveness of enterprises. |
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