In this work, we propose a method based onthe unified particle swarm optimization (UPSO) for no-waitmulti-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 dependingon the characteristics of the current job list. A decompositionprocedure has been developed to speed up the solution ofthe large-scale optimization problem at hand. The proposedapproach is demonstrated on a real galvanic process layout,showing the improved performances achieved by the proposedheuristic 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 onthe unified particle swarm optimization (UPSO) for no-waitmulti-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 dependingon the characteristics of the current job list. A decompositionprocedure has been developed to speed up the solution ofthe large-scale optimization problem at hand. The proposedapproach is demonstrated on a real galvanic process layout,showing the improved performances achieved by the proposedheuristic compared to the monolithic approach.
2020
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA)
9781728159539
Particle Swarm Optimization
No-wait job shop scheduling
Multi-hoist scheduling
Advanced Galvanic plants
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/406332
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