Research On Balance Optimization Of E1 Tablet Computer Assembly Line Of L Company

With the intensification of market competition,improving assembly line efficiency and reducing production costs have become important challenges for manufacturing companies.Assembly line balancing optimization can enable assembly lines to achieve efficient and stable production under certain constraints,thereby meeting customer order demands and enhancing the company’s market competitiveness.By combining Industrial Engineering(IE)methods with improved genetic algorithms,it is possible to reduce production costs,improve assembly line efficiency,maintain assembly line balance,achieve workload balancing,and enhance the stability and reliability of the assembly line.The research and optimization of the E1 tablet assembly line at Company L will provide valuable experiences and methods for improving assembly efficiency and reducing costs in the manufacturing industry.The specific research work is as follows:(1)Analyze the current situation and issues of the E1 tablet assembly line at Company L.Firstly,describe and analyze the current situation of the E1 tablet assembly line at Company L and collect data using the basic Industrial Engineering method of work measurement.Secondly,conduct data analysis.Finally,the current problems of this assembly line are analyzed.(2)Propose optimization solutions to improve the balance of the E1 tablet assembly line at Company L.Firstly,optimize the assembly line processes and operations using Industrial Engineering methods such as the "5W1H" questioning method,the "ECRS" principle,process analysis,and two-handed operation analysis.Then,further optimize using Matlab software by developing a dual-population adaptive genetic algorithm program to reassign assembly line operations and find the optimal solution.(3)Analyze the optimization effects of the improved E1 tablet assembly line at Company L.Considering the actual conditions of the assembly process,manually adjust the optimization results to enhance the logical flow and smoothness of operations.Compare the relevant indicators of the E1 tablet assembly line at Company L before and after optimization,and analyze the saved labor costs and increased economic benefits achieved through optimization.In order to ensure the implementation of the assembly line balancing optimization solution achieves the expected results,propose a series of safeguard measures in conjunction with the actual situation of the E1 tablet assembly line at Company L.Through the above methods,the production cycle time decreased from 79.38 seconds to75.08 seconds;the assembly line balancing rate increased from 62.83% to 90.56%;the assembly line smoothness index decreased from 33.56 to 10.13;the daily production capacity increased from 362.81 to 383.59;the saved labor costs after improvement amounted to 276,000 RMB,and the increased economic benefits were 12,187,700 RMB.The results indicate that the optimized assembly line balancing rate significantly improved,reaching a more balanced state,which effectively enhances assembly efficiency and production capacity,reducing unnecessary waiting time and waste.Additionally,the combined use of basic Industrial Engineering methods and improved genetic algorithms during the optimization process can provide reference value for other companies facing similar assembly line problems.There are 28 figures,27 tables,and 81 references.