Aiming at the deficiency of current scheduling software to optimize different equipment combinations,an advanced scheduling and planning(APS)optimization method based on digital twins is proposed.Taking a 3-stage production line of a manufacturing enterprises as the research object,the digital twin model was built by the platform named Emulate3D,and the performance indexes,i.e.productive time and equipment idle rate can be calcu-lated;Then the orthogonal experiments were design and implemented,the neural network model to fit the relationship between the combinations of equipment quantity and performance indexes was established;Finally the optimal equip-ment quantity combinations of five products by heuristic algorithm NSGA-II were obtained.Further analysis shows that the shaping process is the bottleneck of the production line,which can be optimized for resources allocation in the future.The digital twin and optimization method proposed in this paper can promote cost reduction and efficiency in-crease in manufacturing and as a useful reference for scheduling optimization and resource allocation.
关键词
数字孪生/高级计划排程/神经网络/启发式算法
Key words
Digital twin/Advanced planning and scheduling/Neural network/Heuristic algorithm
维普
万方数据