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.File | Dimensione | Formato | |
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Lanza-2022-Optim in AI and DS-AAM.pdf
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