提出一种基于自治与协调的实时派工机制,并在此基础上研究面向瓶颈设备的实时派工算法,该算法针对瓶颈设备动态漂移的特性,根据不同的状态闽值采用不同的派工规则以进行控制。通过基于拓展型面向对象Petri网仿真平台的实验证明,该算法在绩效水平上优于其他两种算法。并且采用响应曲面法和期望函数对仿真结果进行优化,以获得更好的系统绩效。
A novel autonomy & coordination-based real-time dispatching mechanism (ARC- RDM) is proposed in this paper. An A&C-RDM-based dynamic real-time bottleneck dispatching (DBD) algorithm is designed to detect bottlenecks in a timely way and make adaptive dispatching decisions according to the real-time conditions. Several simulation experiments are performed on extended object-oriented Petri net platform, and the results show that the A~C-DBD algorithm is superior to the other two methods on system performance. Response surface methodology and desirability function are used to optimize simulation for better system performance.