Dynamic Allocation and Stability Analysis of Intelligent Machining System

This article studies the dynamic allocation of an intelligent processing system and aims to improve production efficiency by maximizing the number of finished materials within the samperiod. Aiming at single-process routine scheduling, a single-process routine scheduling model is established based on EDF principle, and solved by greedy algorithm. Regarding the double-process routine scheduling, the two-process optimization model is obtained by continuing single-process idea, and the final scheduling scheme is obtained through multi-level feedback queue algorithm. Furthermore, dynamic dispensing schemes for actual production systems are given respectively. Finally, the effects of faults disturbance on the system stability of the two processing schemes are verified through robustness analysis.