Flexible job-shop rescheduling decision with hidden disturbance

Aiming at the rescheduling problem of flexible job shop with hidden disturbance accumulation, the determination of rescheduling time point and the selection of rescheduling mode are studied. Under the condition that the delivery time of each work piece does not exceed, by analyzing the dynamic correlation between processes, the allowable delay completion limit of each process is calculated as the time point triggered by rescheduling. Three rescheduling methods (right-shift rescheduling, partial rescheduling and complete rescheduling) are designed by genetic algorithm, and a mathematical model is established to select the rescheduling methods. Finally, the accuracy of rescheduling point and rescheduling mode selection are proved by simulation.