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The two-dimensional cutting stock problem with usable leftovers: mathematical modelling and heuristic approaches

Title
The two-dimensional cutting stock problem with usable leftovers: mathematical modelling and heuristic approaches
Type
Article in International Scientific Journal
Year
2022
Authors
do Nascimento, DN
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Cherri, AC
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Title: Operational ResearchImported from Authenticus Search for Journal Publications
Vol. 22
Pages: 5363-5403
ISSN: 1109-2858
Publisher: Springer Nature
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Publicação em Scopus Scopus - 0 Citations
Other information
Authenticus ID: P-00X-1BP
Abstract (EN): Different variations of the classic cutting stock problem (CSP) have emerged and presented increasingly complex challenges for scientists and researchers. One of these variations, which is the central subject of this work, is the two-dimensional cutting stock problem with usable leftovers (2D-CSPUL). In these problems, leftovers can be generated to reduce waste. This technique has great practical importance for many companies, with a strong economic and environmental impact. In this paper, a non-linear mathematical model and its linearization are proposed to represent the 2D-CSPUL. Due to the complexity of the model, a heuristic procedure was also proposed. Computational tests were performed with instances from the literature and randomly generated instances. The results demonstrate that the proposed model and the heuristic procedure satisfactorily solve the problem, proving to be adequate and beneficial tools when applied to real situations.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 41
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