Research On Line Balancing Optimization Of JR Company's Garment Sewing Assembly Line

In the field of manufacturing,the assembly line balancing problem has always been a very important research topic,it is an important index to measure the core competitiveness of enterprises,the study of assembly line balancing problem can help enterprises obviously improve production efficiency,and increase the economic benefits of enterprises.Line balance is the reasonable allocation of resources and jobs on the premise of observing the production principles,so as to achieve the purpose of improving production efficiency.This paper takes JR company's assembly line of uniform trousers as the object,and conducts research on garment sewing assembly line,the details are as follows:Firstly,the methods of industrial engineering were used to analyze the assembly line of uniform trousers,the process on this line were analyzed,the process chart was drawn,the bottleneck was found;the existing workstation layout and logistics were analyzed,the chart about it was drawn,according to the basic principles of workstation layout,the unreasonable places were analyzed;the line was measured,the standard action plan and action states were formulated to ensure the authenticity of the data,the Grubbs test method was used to deal with the data,and eliminate abnormal data,the normal work time of the process was obtained,relaxation time and the rate about it were discussed,the scope of the rate was determined,finally the standard working time of the process was determined.On this basis,using the balance rate,balance loss rate and smoothness index as evaluation indicators,the line was analyzed that showed the line was extremely unbalanced at this time and needed to be optimized.Secondly,for the assembly line of uniform trousers,a multi-objective garment sewing assembly line balance optimization model with the balance loss rate and smoothness index minimized was established.According to the characteristics of the model,the rules of the algorithm were redesigned,real number coding was used as encoding method,decoding rules and fitness calculation rules were designed according to real number encoding rules;championship selection Strategy,two-point crossover strategy and random mutation strategy were used for selection,crossover and mutation to update the population;the population communication rule was to exchange the best one to replace the worst one.The MATLAB software was used to program,and standard case was used to verify the effectiveness and feasibility of the improved algorithm.Then,the four parameters that had a greater impact on the results of the algorithm were discussed,and the optimal parameter combination was determined;the improved algorithm was used to simulate the optimization model to obtain process arrangement plan and workstation distribution;GA,PSO and FOA were used to solve the same problem,the results of the four algorithms were compared and analyzed,and the superiority of the double-population genetic algorithm was verified;combined with the results of the double-population genetic algorithm,four improvement measures were proposed to optimize the workstation layout;The optimized assembly line of uniform trousers was analyzed and evaluated from the three perspectives of efficiency,balance and labor cost,the efficiency of the line has been greatly improved,and the degree of balance has been greatly improved,the labor cost has been effectively reduced.Finally,on the basis of the above research,the methods and steps of solving the problems in this paper were sorted out,MATLAB software was used to design and develop a garment sewing assembly line balance software to provide decision support for the production management of the enterprise...