Multi-dimensional Manufacturing Resources of Workstations and Workers are Collaboratively Optimized for Dynamic Scheduling Technology

Ning Shang

doi:10.62051/ijmee.v8n1.09

Authors

Ning Shang

DOI:

https://doi.org/10.62051/ijmee.v8n1.09

Keywords:

Adaptive Particle Swarm Algorithm, Dynamic Scheduling, Multi-resource Collaboration and Optimization

Abstract

Multi-dimensional manufacturing resources of workstations and workers are collaboratively optimized scheduling technology. A dynamic scheduling model is constructed for the common dynamic disturbances such as equipment failure, worker absenteeism and emergency order insertion in the actual production process. By analyzing the influence range of disturbance events on the production plan, a local rescheduling mechanism based on the affected process set is proposed, and the strategy of combining event-driven and periodic rescheduling is adopted, and the improved APSO algorithm is used to quickly repair and re-optimize the production plan after disturbance. The deviation of the new scheme from the original production plan is reduced, and the robust operation of the production system in a dynamic environment is realized.

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