Simulation And Optimization Of Seru Production For Minimizing Makespan

Manufacturing is the foundation of a country.The manufacturing industry directly reflects the productivity level of a country and is an important factor distinguishing between developing countries and developed countries.In the development process of China’s manufacturing industry,market demand and production mode have undergone great changes.At the same time,with the rapid advancement of science and technology,especially the rapid development of computer technology and artificial intelligence,big data and other technologies,relatively traditional manufacturing It is facing enormous challenges and opportunities.In the era of Industry 4.0,China’s manufacturing industry urgently needs to transform and upgrade its industry to face a market environment with increasingly high requirements and increasingly volatile demand.Seru production is a new type of production.It originated in Japan in the 1990s.It has the characteristics of fast response,strong flexibility and improved production efficiency.It perfectly fits the market environment of today’s varieties and varieties.In terms of production mode,it is a production method with great research and application value.In order to combine the actual situation and the most thorough research on the real market environment and production process,this paper uses simulation technology to optimize the performance of Seru production during the batches and worker’s ability change with the minimum makespan as the goal.The purpose of the study is to find some better Seru Formation.When the worker’s ability and market environment change,the impact on makespan is minimized when the results of Seru Formation is adopted.On the basis of a large number of simulation optimization results,orthogonal test and analysis of test results were carried out based on the number of workers,product batches and workers’ ability.The influence of the above indicators on the minimum makespan was studied.The main contents are as follows:(1)In the study of a large number of existing Seru production models,a simulation optimization model for Seru production under minimum makespan is constructed,and simulated Seru production under FCFS scheduling rules.(2)The simulation optimization experiment of the simulation model is carried out,and an improved ant colony algorithm combined with the neighborhood search strategy is developed.Combined with the genetic algorithm,the two algorithms adopt the cooperation coevolution mechanism to obtain the optimal Seru scheduleing/Seru formation.In the case of the Seru formation/Seru scheduleing alternately optimized,the optimal solution of the j oint optimization is obtained.The simulation results show that there are some special Seru formation.When the Seru production is carried out under this formation,the impact on makespan is minimal when the worker’s ability and product batch fluctuate.(3)After obtaining a large number of simulation optimization experiment results,based on the experimental results,orthogonal tests were performed on Seru production with makespan as the evaluation index,and the results were analyzed by variance.The conclusion that the number of workers and the ability of the workers has almost no effect.For enterprises that take completion time as an indicator,they can refer to the above factors and formulate corresponding strategiesFinally,this paper puts forward some production suggestions for the implementation of Seru production with minimum makespan,which has certain reference value for enterprises that want to learn and implement Seru production.