journal article Jun 03, 2019

Constrained two‐dimensional guillotine cutting problem: upper‐bound review and categorization

View at Publisher Save 10.1111/itor.12687
Abstract
AbstractIn the two‐dimensional (2D) cutting (2DC) problem, a large rectangular sheet has to be dissected into smaller rectangular pieces with the aim of maximizing the total profit associated with the extracted pieces. When the number of copies of each piece to be extracted is bounded, it is referred to as constrained 2DC (C2DC) problem. The C2DC has been widely studied by the operations research community for its applications and theoretical issues. In this work, we recall the best exact and heuristic solving approaches for the C2DC and we provide a review and a categorization of the available upper bounds. We also discuss improvements and combinations of these upper bounds and give directions for their effective exploitation. Finally, we demonstrate the loss of accuracy of several exact methods present in literature because of the effect of the used antiredundancy strategies on the implemented bounding criteria. This work, based on more than 90 contributions, has a twofold target. For researchers working in C2DC, it provides a useful insight on the topic. For expert practitioners, it represents a systematic collection of the main findings and achievements, posing also the basis for future research.
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References
97
[37]
El Baz D. Hifi M. Saadi T. 2012.Peer‐to‐peer solution of 2D‐cutting stock problems. Proceedings of the 11th Workshop on Graphs and Combinatorial Optimization Bundeswehr University Munich Munich pp.116–120.

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Metrics
26
Citations
97
References
Details
Published
Jun 03, 2019
Vol/Issue
27(2)
Pages
794-834
License
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Funding
Ministero dell’Istruzione, dell’Università e della Ricerca Award: PRIN 20153TXRX9
Cite This Article
Mauro Russo, Maurizio Boccia, Antonio Sforza, et al. (2019). Constrained two‐dimensional guillotine cutting problem: upper‐bound review and categorization. International Transactions in Operational Research, 27(2), 794-834. https://doi.org/10.1111/itor.12687
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