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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Subset of instances used in article "On solving the 1.5-dimensional cutting stock problem with heterogeneous slitting lines allocation in the steel industry"

Authors: Sierra-Paradinas, María; Soto-Sánchez, Óscar; Alonso-Ayuso, Antonio; Martín-Campo, F. Javier; Gallego, Micael;

Subset of instances used in article "On solving the 1.5-dimensional cutting stock problem with heterogeneous slitting lines allocation in the steel industry"

Abstract

The dataset presented is part of the one used in the article "On solving the 1.5-dimensional cutting stock problem with heterogeneous slitting lines allocation in the steel industry" by María Sierra-Paradinas, Óscar Soto-Sánchez, Antonio Alonso-Ayuso, F. Javier Martín-Campo and Micael Gallego, in Computers & Industrial Engineering (2024), doi: https://doi.org/10.1016/j.cie.2024.110120. This paper proposes a mathematical optimisation model for a cutting stock problem in the steel industry. This problem appears in a Spanish company and the proposed model has been tested on real orders received by the company. The dataset presented here includes twelve instances used in the paper (the rest cannot be presented for confidentiality reasons). For each instance, the characteristics of the order and the solution obtained by the model are provided.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average