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- Title
A Biased-Randomized Discrete Event Algorithm to Improve the Productivity of Automated Storage and Retrieval Systems in the Steel Industry.
- Authors
Neroni, Mattia; Bertolini, Massimo; Juan, Angel A.
- Abstract
In automated storage and retrieval systems (AS/RSs), the utilization of intelligent algorithms can reduce the makespan required to complete a series of input/output operations. This paper introduces a simulation optimization algorithm designed to minimize the makespan in a realistic AS/RS commonly found in the steel sector. This system includes weight and quality constraints for the selected items. Our hybrid approach combines discrete event simulation with biased-randomized heuristics. This combination enables us to efficiently address the complex time dependencies inherent in such dynamic scenarios. Simultaneously, it allows for intelligent decision making, resulting in feasible and high-quality solutions within seconds. A series of computational experiments illustrates the potential of our approach, which surpasses an alternative method based on traditional simulated annealing.
- Subjects
AUTOMATED storage retrieval systems; DISCRETE event simulation; OPTIMIZATION algorithms; STEEL industry; ALGORITHMS; SIMULATED annealing
- Publication
Algorithms, 2024, Vol 17, Issue 1, p46
- ISSN
1999-4893
- Publication type
Article
- DOI
10.3390/a17010046