2005
DOI: 10.1287/opre.1040.0154
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An Exact Algorithm for Constrained Two-Dimensional Two-Staged Cutting Problems

Abstract: The constrained two-dimensional cutting (C_TDC) problem consists of determining a cutting pattern of a set of n small rectangular piece types on a rectangular stock plate S with length L and width W, to maximize the sum of the profits of the pieces to be cut. Each piece type i, i=1,…,n, is characterized by a length li, a width wi, a profit (or weight) ci, and an upper demand value bi. The upper demand value is the maximum number of pieces of type i that can be cut on S. In this paper, we study the two-staged C… Show more

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Cited by 47 publications
(52 citation statements)
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“…Reference is made to [21] and [22] for details on the two-stage two-dimensional method based on strip generation and beam search. A maximum of twenty processors were allocated to this particular problem.…”
Section: Resultsmentioning
confidence: 99%
“…Reference is made to [21] and [22] for details on the two-stage two-dimensional method based on strip generation and beam search. A maximum of twenty processors were allocated to this particular problem.…”
Section: Resultsmentioning
confidence: 99%
“…is the maximum profit that can be achieved by filling region P = S \ R. This bound is the tightest of bounds obtained by solving-as in [22,24,26]-an UTDC, a single bounded knapsack (SBK), and a relaxed bounded knapsack (RSBK).…”
Section: Upper Bounds At Internal Nodesmentioning
confidence: 93%
“…Herein, we find an initial feasible solution to DCTDC using an approximate two-stage procedure inspired from Hifi and M'Hallah [24]. The procedure solves CTDC, a DCTDC relaxation obtained by ignoring the lower demand constraints.…”
Section: An Initial Solution To Dctdcmentioning
confidence: 99%
“…Several different exact algorithms have been suggested for this problem, including those described in Christofides and Whitlock (1977), Wang (1983), Viswanathan and Bagchi (1988), Vasko (1989), Dowsland et al (1992), Christofides and Hadjiconstantinou (1995) and Hifi and M'Hallah (2005). Approximate algorithms for this problem have also been proposed by Morabito and Arenales (1996), Cung et al (2000), Belov and Scheithauer (2006), Hifi and M'Hallah (2006), Gongalves (2007) and Cui (2008).…”
Section: Literature Reviewmentioning
confidence: 99%