| With the continuous promotion of "Made in China 2025",China’s manufacturing industry is gradually realizing the transformation from "Made in China" to "Created in China","Speed in China" to "Quality in China" and "Products in China" to "Brand in China" through continuous development.The strategic focus of Made in China 2025 is intelligent manufacturing,and optoelectronic technology is an important part of intelligent manufacturing.One of the key points of optoelectronic technology is laser equipment and its core component laser.Therefore,the importance of laser industry as one of the important driving forces to promote the development of China’s manufacturing industry is obvious.In such a big environment,laser manufacturing companies pay more and more attention to the optimization of assembly lines,so as to improve the company’s production efficiency and enhance market competitiveness.The N product of R Company studied in this paper is an ultraviolet laser.Through field investigation,it is found that the production efficiency of the N product assembly line is not high,and the production order is delayed.In order to achieve the optimization objectives of improving efficiency,improving productivity and reducing resource waste of the assembly line,this paper first clarifies the research background and significance,and consolidates its theoretical basis by combing the research literature at home and abroad in recent years,so as to determine the research content and methods of N product assembly line optimization.Secondly,through the field survey,I formed a preliminary impression on the assembly process,workshop layout,and on-site operation environment of N products,and used the stopwatch time measurement method to sort out the working hours before the optimization of N products,and analyzed the possible problems of the entire assembly line from three angles.Through the collected data,the Flexsim simulation software is used to simulate the production status of the workshop site,find out the bottleneck of the assembly line,and use the two-handed operation analysis method and industrial engineering knowledge to optimize it,so as to slightly improve the production efficiency of the assembly line.Then,the most reasonable workstation division scheme is designed using the dual-population genetic algorithm to balance the labor load among workstations,and the workshop site layout is cancelled,merged,rearranged and simplified to make it conform to the "one flow" working mode of lean production.In addition,6S management idea is introduced into the workshop to improve the on-site operation environment.Finally,the implementation effect of the optimization scheme is comprehensively analyzed and compared from the three aspects of assembly balance rate,resource saving and production line capacity,and corresponding safeguard measures are proposed from the three aspects of personnel,system and technology. |