In this work, we propose a method based on the unified particle swarm optimization (UPSO) for no-wait multi-hoist scheduling, including a collision avoidance heuristic. Conflicts due to track sharing between hoists and no-wait con- straints represent major issues to be addressed. Consequently, a complex optimization problem has to be solved dynamically, to identify the best operating strategy to be executed depending on the characteristics of the current job list. A decomposition procedure has been developed to speed up the solution of the large-scale optimization problem at hand. The proposed approach is demonstrated on a real galvanic process layout, showing the improved performances achieved by the proposed heuristic compared to the monolithic approach.
A Unified PSO-based method for scheduling of multi-hoists in advanced Galvanic plants
Ramin D;Spinelli S;Brusaferri A
2020
Abstract
In this work, we propose a method based on the unified particle swarm optimization (UPSO) for no-wait multi-hoist scheduling, including a collision avoidance heuristic. Conflicts due to track sharing between hoists and no-wait con- straints represent major issues to be addressed. Consequently, a complex optimization problem has to be solved dynamically, to identify the best operating strategy to be executed depending on the characteristics of the current job list. A decomposition procedure has been developed to speed up the solution of the large-scale optimization problem at hand. The proposed approach is demonstrated on a real galvanic process layout, showing the improved performances achieved by the proposed heuristic compared to the monolithic approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
