Maintenance Personnel Scheduling in Printed Circuit Board Manufacturing Workshops Based on Improved Firefly Algorithm

Aiming at the problems of printed circuit board (PCB) workshop maintenance relying on manual scheduling and low utilization efficiency of maintenance personnel, a maintenance personnel scheduling model with the optimization objective of minimizing the maximum maintenance time is established based on the maintenance personnel skill setting and maintenance task sequence constraints. An improved firefly algorithm solution model is developed, and a variable neighborhood search is introduced to enhance the local search capability of the algorithm. Furthermore, a firefly position reconstruction strategy is proposed to increase the population diversity. The proposed method is validated in a PCB manufacturing enterprise. The experimental results show that the established maintenance time is shortened by 19.4% compared with the original scheme. The average utilization rate of maintenance skills is increased by 13.4%, effectively alleviating the problems of lengthy manual scheduling and low personnel utilization rate.