网络化制造环境下生产动态调度仿真与分析

Simulation and Analysis on Dynamic Job Shop Scheduling Toward Networked Manufacturing

针对网络化制造环境下生产系统特点,构建异地生产协同调度框架。基于调度框架进行动态仿真计算:应用模糊理论对生产时间分布概率进行判断,确定企业内部生产调度评测参数;使用Hopfield神经网络综合决策,求出企业外协生产与内部调度之间的可行解。将调度框架应用在实际生产调度问题中,对仿真计算结果继续综合优化,能够得到好的可行调度方案。

Aiming at the system characteristic of the network-manufacturing environment, the framework of job scheduling was constructed for remote synergic production. Based on scheduling framework, the dynamic simulation calculation was carried, and the fuzzy theory was applied to judge the distributable probability of products time, to confirm job scheduling evaluated parameter of the enterprise interior. The Hopfield neural network was applied to comprehensive decision-making, to extract the feasible solution between enterprise external cooperation production and internal scheduling. The scheduling framework was applied in practical job scheduling, to optimize the result that obtained by simulation calculation continued, and then a good and feasible scheduling result was obtained.