We consider a storage allocation problem which combines storage location assignment with sequencing decisions about the assigned storage locations, and which originates from a real-world application context. We propose a very efficient successive constrained shortest path method, which outperforms a matheuristic approach recently proposed in the literature in terms of both the computational time required and regarding the quality of the solutions found.

Lanza, G., Passacantando, M., Scutellà, M. (2022). A fast heuristic approach for the assignment and sequencing storage location problem under a two level storage policy. In L. Amorosi, P. Dell’Olmo, I. Lari (a cura di), Optimization in Artificial Intelligence and Data Sciences (pp. 151-161). Springer [10.1007/978-3-030-95380-5_14].

A Fast Heuristic Approach for the Assignment and Sequencing Storage Location Problem Under a Two Level Storage Policy

Passacantando, M;
2022

Abstract

We consider a storage allocation problem which combines storage location assignment with sequencing decisions about the assigned storage locations, and which originates from a real-world application context. We propose a very efficient successive constrained shortest path method, which outperforms a matheuristic approach recently proposed in the literature in terms of both the computational time required and regarding the quality of the solutions found.
No
Scientifica
Capitolo o saggio
Heuristic; Mixed-integer linear programming; Multicommodity flows; Storage location assignment; Storage location sequencing;
English
Optimization in Artificial Intelligence and Data Sciences
978-3-030-95379-9
Online ISBN 978-3-030-95380-5
Lanza, G., Passacantando, M., Scutellà, M. (2022). A fast heuristic approach for the assignment and sequencing storage location problem under a two level storage policy. In L. Amorosi, P. Dell’Olmo, I. Lari (a cura di), Optimization in Artificial Intelligence and Data Sciences (pp. 151-161). Springer [10.1007/978-3-030-95380-5_14].
Lanza, G; Passacantando, M; Scutellà, M
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/391588
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