A Dynamic Disturbance Processing Method Based on Affected Process Association Tree

摘要

This paper proposes a dynamic disturbance processing method based on the affected process association tree, which includes: receiving the disturbance events feedback from the production process, judging the affected process according to the disturbance events and constructing the affected process association tree and judging the phenotype of the affected process under disturbance. According to the phenotype, using the proportional integral algorithm adjusts the affected process association tree in turn to form a new job scheduling plan. Finally, an example is given to verify the effectiveness of this method in real-time processing of disturbances that may occur in the actual production process, and a reliable new scheduling plan is output.