云制造智能车间机床资源的再分配服务模型与解算

针对多品种、小批量、强交货期的柔性生产方式下云制造智能车间机床资源再分配服务问题,以各工件在机床上加工的最短完成时间、机器总负荷最小、成本最低为多目标函数,以机床均衡率为综合评判函数,建立了再分配服务模型。采用一种基于Pareto外部档案的多目标教与学优化算法对上述模型进行了求解,仿真结果表明多目标教与学优化算法在收敛性和求解效率等方面具有较大优势。本研究可为解决云制造平台下的智能车间生产规划难题提供有益指导。

Modeling and Solution of Machine Tool Resource Redistribution Service in Cloud Manufacturing-based Smart Workshop

Aiming at the problem of machine tool allocation service with multi-variety small-batch and short lead time characteristics in a cloud manufacturing-based workshop, the objective function was defined as the shortest completion time, the least total load and the lowest cost of each workpiece. Using the equilibrium evaluation rate as a comprehensive evaluation function, a redistribution service model was established. The above model is solved by a multi-objective teaching and learning optimization algorithm based on Pareto external archives (MOTLBO). The simulation results show that the multi-objective teaching and learning optimization algorithm has advantages in convergence and efficiency. The study can provide useful guidance for solving the production planning problem of smart workshop under cloud manufacturing platform.