| With the concept of "Industrial 4.0" proposed by German,intelligent manufacturing is widely concerned in the world.In order to enhance the international competitiveness of manufacturing industry,China also take this opportunity to put forward the "Made in China 2025" plan which aims at accelerating the integrated development of new generation’s information technology and manufacturing technology.Discrete manufacturing enterprises of China have faced more and more diversified,personalized user needs,its production mode is transforming gradually from traditional large-scale production line mode to single,small quantities,multi-species mode.MES system,which is widely used in discrete manufacturing enterprises,is changing from integrated MES to intelligent MES.In order to enhance the ability of discrete manufacturing enterprises to respond quickly to market demands,this dissertation studies the reconfigurable technology and simulation of MES-based discrete manufacturing system.Firstly,an improved genetic algorithm which could do matrix coding separately for processes and machines is proposed under the constraint of multi-part machining process.Selection,crossover and mutation operation corresponding to coding method are designed.And the retention operator is added to reserve the optimal individuals in each generation.After the global optimal solution is obtained,the insert greedy decoding algorithm is used for decoding to achieve arrangements of processing procedures and processing machines.And then,the design and development of MES-based discrete manufacturing workshop production line reconfiguration system is carried out on the basis of improved genetic algorithm,functions including equipments resource management,work-piece process management,and rebuild production line for different desired goals are achieved.The effectiveness of the improved algorithm is proved by simulation.Finally,the 3D models of the manufacturing workshop are built by modeling the manufacturing machines and the logistics equipments.Setting logistics model’s motion trajectory and device model’s manufacturing processes according to the reconstruction results and realizing the visual simulation of the reconstruction results have practical reference value for reasonable arrangements for logistics system and processing sequence of discrete manufacturing workshop. |