Study On Assembly Line Balancing Optimization Based On Genetic Algorithm

Assemble line balance technic is one of the important method for the production flowdesign and re-organize optimize of the manufacturing. At the given restriction conditions,distribute a series priority jobs into the work station so that realize the assemble line balance.The un-balance line can lost a lots of work time, also can make many parts “work in process”,even if the un-balance assemble line can stop the production process.The paper first summarize and analyze the domestic and overseas method of studyassemble line balance issue in these years, as for the ALBP-2issue, the author use onemethod that he use the IE and Genetic Algorithm method to solve and analyze assemble linebalance issue. The method was applied to our actual production line and got good effect.The paper first elaborate basic concept of the assemble line balance problem and re-viewthe domestic and oversea normal method that how to solve the assemble line balance problem.On this basis, the paper analyze one details status of the coupler assembly line balanceproblem and get a conclusion that the assemble balance problem was the second type balanceproblem. First, the paper use the traditional IE method to initiatory study this problem. Thebalance rate of the assemble line was promoted to71%. For thinking about the workprocesses are almost40steps, the traditional IE method can’t give more balance improveresult. The author put forward one method that uses the improved Genetic Algorithm to studythis problem. The author used the Matlab tool to finish the program of the Genetic Algorithmand finished the test and verified by using the famous assemble line balance problem. Theauthor use the program to simulate and optimize the actual assemble line balance problem.The result indicate the program was good at on improve the balance rate and reduce theburthen unbalance of the assembly line.Finally in the improved genetic algorithm based on Matlab optimized results of actualassembly line balancing problem is optimized under the balance, and the balance of indexesbefore and after optimization are compared and evaluated.The paper studied the second balance problem in-depth and used the improved GAmethod to optimize balance problem. The result indicates the study is an effective method tosolve the optimum the distribution of resources, improve the efficiency of the production lineand increase the competition of the enterprise.