| Manufacturing industry plays an important role for the country’s long-term development,the added value of China’s manufacturing industry for many years since2020 ranks first in the world,have come to realize the "made in China 2025" the key nodes,manufacturing in China will be realized in the five years from traditional low-end manufacturing industry of high precision,information production target.The year of 2021 is also the beginning year of China’s 14 th Five-Year Plan,in which the intelligent manufacturing industry continues to develop and is still in the growth period of China’s automobile market.The recovery and development of the auto market is a great boon for the auto parts and equipment manufacturing industry.In the face of the diversified and customized consumer demand of the auto market,intelligence and digitalization have also become the necessary requirements for the manufacturing and assembly of auto parts.However,the development of China’s manufacturing industry is in a polarized situation.Large high-end enterprises occupy the high-precision market,while small and medium-sized manufacturing enterprises still implement the traditional production mode and supply the middle and low-end market.Y Company is such a small and medium-sized enterprise.It is urgent to solve the efficiency problem in the process of product assembly.Y Company is an automobile seat manufacturing enterprise.With the rapid development of energy vehicles,Y Company has opened a new production line for the assembly of energy car seats.With the increase of orders,the demand for different types of seats also increases,so it puts forward the goal of improving productivity.In this paper,the theory and method of industrial engineering are used to study and analyze the seat assembly line of Y Company.Through process analysis and time study,the current assembly status of the seat assembly line is analyzed,and the problem of time imbalance exists in the assembly line workstation is found.Aiming at the problems existing in the assembly line,a mathematical model of continuous conveyor belt based on genetic algorithm is established in this paper.The balance optimization of the assembly line is carried out by using this model and an example is selected to verify the effectiveness of the model and algorithm.After the assembly line is balanced,it is necessary to put into production to realize the optimization study.According to the practical application,the production sequencing problem of the mixed model assembly line is modeled,and the goal of the model is to minimize the production time.Finally,Flexsim simulation is used to verify the effectiveness of the optimization results in actual assembly.In this paper,through the optimization of the hybrid seat assembly line of Y Company,the process rebalancing and the balance of workstation time are realized,the use efficiency of workstations is improved,and the production efficiency and market competitiveness of Y Company are improved,and the time cost is saved.This paper provides a reference for the optimization research of the mixed-model assembly line in the manufacturing industry,and has a certain theoretical guidance for the whole assembly line balance optimization field. |
