| The research content of this paper is carried out in the H company analysis production line process improvement and workshop facilities planning projects in the background,in this thesis the value flow theory based on the balance of the production line,we found some problems in workshop assembly line based on the current value stream map,and establish and the mathematical model according to the objectives and requirements,and then draw the future value chart,to reduce the company's waste and other related issues through the implementation.Under the background of the computer simulation,the paper simulates the equilibrium problem of the assembly line,considers the particle swarm optimization algorithm and introduces the advantages of genetic algorithm to solve the problem.Particle swarm optimization algorithm,abbreviated as PSO,is a kind of random search algorithm based on group collaboration,which is generally considered as a kind of swarm intelligence,and it is a kind of random search algorithm based on group collaboration.The particle swarm algorithm optimization is based on iterative method,the original system is a set of random solutions,through iterative method to calculate the optimal solution,is other particles in a particular space along with the optimal particle search optimal solution,its advantage is very obvious,when the target in dynamic or continuous keep in multidimensional space will reflect the high quality,fast speed and good robustness characteristics.But the balance of the production line has the characteristics of discrete,and the particle swarm optimization algorithm is not over complicated coding and other variation of the operation process,it is very likely that there is not an optimal solution.According to the particle swarm algorithm in assembly line balancing problem,this solution is given by using genetic algorithm,because genetic algorithm is to solve the traditional mathematical methods cannot effectively quickly obtained relatively complex problem of large-scale,but also has certain advantages,such as genetic algorithm is random and iterative and is best not to mind taking the trouble the search for solutions.Therefore,after the introduction of genetic algorithm,the particle swarm optimization algorithm can solve the problem of the discrete problem.Chapter 1,the introduction of the article.Introduces the background and significance of this study,analysis of domestic and foreign research status mapping technology and production line balancing problem of value flow and analyzes the development trend in the future,the paper discusses the related contents and system arrangement.Chapter 2,the theoretical knowledge related to the thesis is introduced in detail,including the calculation of the value stream map and the production balance in the field of lean production.Chapter 3,based on the measurement and recording data in the field,combined with the actual situation of H company DTZ545 type instrument,drawing workshop layout and workshop logistics map,and the mapping of product process diagram,the data collection,the collected data as the foundation,draw the current value stream map,and analyzed the production line problems according to the current situation map.Chapter 4,the mathematical modeling and simulation optimization of production line balancing problem,analyzed the principle of particle swarm optimization algorithm and its advantages and disadvantages,and the application in the production line balance problem is discussed,according to the characteristic of the algorithm,consider the introduction of genetic algorithm to improve the shortcomings of.Chapter 5,after the model is established,the simulation is carried out by the algorithm in lab Mat.According to the results of the solution,the future state map of the value stream can be drawn,and the future value stream can be realized.Chapter 6,summary and prospect.This paper analyzes the innovation of this article and the significance of the actual production,and points out the shortcomings of the article. |
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