No abstract

Predictive management on power consumption during static scheduling of outfitting automatic transportation equipment is very difficult. In addition, dynamic scheduling has poor response ability to sudden failures. To solve this problem, this paper proposes an AGV (Automatic Guided Vehicle) scheduling approach for outfitting warehouse considering equipment failure and power management. Firstly, based on the power consumption rate function, the power consumption model of AGV for transport task is established. According to the departure power and task consumption power, the charging time and the return time of the AGV are calculated. Secondly, the optimization model of AGV scheduling is established with the goal of minimizing the total transport time. Further, the variable definitions of overhaul and minor repair for AGV are made, and the scheduling strategy for sudden failure is proposed. Finally, an optimization algorithm based on power consumption and failure maintenance for outfitting vehicle scheduling is developed to solve the optimization model in a case. The proposed method can pre plan the charging time according to the vehicle power consumption. Rescheduling is carried out for sudden failure and charging return to improve the dynamic response capability of outfitting transport vehicles.