| With the slowdown in China’s economic growth,the machinery manufacturing industry has been greatly affected.In order to improve the core competitiveness in the increasingly fierce market,it is necessary for enterprises to have efficient flexible production system.Flow manufacturing,a flexible market-oriented lean production system,can achieve the goals of shortening production lead time,reducing manufacturing costs and improving production efficiency.However,for large machinery manufacturing enterprises,due to its special industry characteristics,there are many limitations in the implementation of flow manufacturing.How to effectively resolve the impact of these factors and maximize the potential of production lines is the focus of current research.The external protection sheet metal production line of the machine tool of S company adopts the mixed flow production method to process the external protection sheet metal parts of the machine tool.At present,there are often a large number of products in the production line.Because the external protection sheet metal parts of the machine tool have the characteristics of large size and non-extrusion,a large number of sheet metal parts are tiled in the workshop,which seriously affects the production efficiency and fluidity.To solve this problem,this paper takes ’ flow manufacturing ’ as the optimization goal,and conducts in-depth research on the production line.Taking S company’s machine tool external protection sheet metal production line as the research object,firstly,analyze the potential problems of enterprises through field investigation.Secondly,aiming at the balance and sequencing problem of S company’s machine tool outer protection sheet metal production line,a collaborative optimization model is established with the minimum actual load deviation,idle time and overload time in MPS as comprehensive evaluation indexes.According to the characteristics of the model,an adaptive crossover probability is introduced and an improved endosymbiotic evolutionary algorithm is designed.The feasibility and effectiveness of the algorithm are verified by an example.Thirdly,a variety of optimization schemes are designed according to the actual situation of S company’s machine tool external protection sheet metal production line,and the effects of different optimization schemes are compared to find the best optimization scheme from a theoretical point of view.Finally,different optimization schemes are simulated and verified by Plant Simulation,and the optimal scheme is determined by combining theory and simulation results.The product requirements under typical working conditions are maintained in the optimization scheme model for simulation,and the adaptability of the improved S company’s machine tool external protection sheet metal production line to special working conditions is tested.The results show that the collaborative optimization model of production line balance and sorting can effectively reduce the load deviation,work-in-process accumulation and time waste of production line.The improved endosymbiotic evolutionary algorithm has faster convergence speed and better optimization effect.The optimal solution can effectively solve the practical problems of S company’s machine tool external protection sheet metal production line,improve the flow of production line and enterprise efficiency,and provide new ideas for lean production management of large machinery manufacturing enterprises. |
