Strip generation algorithms for constrained two-dimensional two-staged cutting problems

被引:23
作者
Hifi, M
M'Hallah, R
机构
[1] Univ Paris 01, CNRS, UMR 8095, CERMSEM, F-75647 Paris 13, France
[2] Univ Picardie, LaRIA, F-80000 Amiens, France
[3] Kuwait Univ, Dept Stat & Operat Res, Safat 13060, Kuwait
关键词
approximate algorithms; cutting problems; dynamic programming; single constrained knapsack problems; optimization;
D O I
10.1016/j.ejor.2004.10.020
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
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 of length L and width W, as 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 l(i),a width w(i), a profit (or weight) c(i) and an upper demand value b(i). The upper demand value is the maximum number of pieces of type i which can be cut on rectangle (L, W). In this paper, we study the two-staged fixed orientation C_TDC, noted FC_2TDC. It is a classical variant of the C_TDC where each piece is produced, in the final cutting pattern, by at most two guillotine cuts, and each piece has a fixed orientation. We solve the FC_2TDC problem using several approximate algorithms, that are mainly based upon a strip generation procedure. We evaluate the performance of these algorithms on instances extracted from the literature. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:515 / 527
页数:13
相关论文
共 50 条
[31]   An exact algorithm for two-dimensional cutting problems based on multi-level pattern [J].
Pan, Weiping .
GRAPHICAL MODELS, 2024, 133
[32]   An efficient approach for large-scale two-dimensional guillotine cutting stock problems [J].
Fayard, D ;
Hifi, M ;
Zissimopoulos, V .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 1998, 49 (12) :1270-1277
[33]   A best-first branch and bound algorithm for unconstrained two-dimensional cutting problems [J].
G, YG ;
Seong, YJ ;
Kang, MK .
OPERATIONS RESEARCH LETTERS, 2003, 31 (04) :301-307
[34]   MIP models for two-dimensional non-guillotine cutting problems with usable leftovers [J].
Andrade, Ricardo ;
Birgin, Ernesto G. ;
Morabito, Reinaldo ;
Ronconi, Debora P. .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2014, 65 (11) :1649-1663
[35]   Using GPU Computing for Solving the Two-Dimensional Guillotine Cutting Problem [J].
Boschetti, Marco A. ;
Maniezzo, Vittorio ;
Strappaveccia, Francesco .
INFORMS JOURNAL ON COMPUTING, 2016, 28 (03) :540-552
[36]   An effective heuristic based on column generation for the two-dimensional three-stage steel plate cutting problem [J].
Jianyu Long ;
Zhong Zheng ;
Xiaoqiang Gao ;
Panos M. Pardalos ;
Wanzhe Hu .
Annals of Operations Research, 2020, 289 :291-311
[37]   An effective heuristic based on column generation for the two-dimensional three-stage steel plate cutting problem [J].
Long, Jianyu ;
Zheng, Zhong ;
Gao, Xiaoqiang ;
Pardalos, Panos M. ;
Hu, Wanzhe .
ANNALS OF OPERATIONS RESEARCH, 2020, 289 (02) :291-311
[38]   SOLVING TWO-DIMENSIONAL BIN PACKING PROBLEMS WITH TWO-STAGE GUILLOTINE CUTTING BY COMBINED LOCAL SEARCH HEURISTICS [J].
Chan, T. M. ;
Alvelos, Filipe ;
Silva, Elsa ;
Valerio de Carvalho, J. M. .
PACIFIC JOURNAL OF OPTIMIZATION, 2013, 9 (03) :391-412
[39]   A recursive exact algorithm for weighted two-dimensional cutting [J].
Hifi, M ;
Zissimopoulos, V .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1996, 91 (03) :553-564
[40]   Two-stage general block patterns for the two-dimensional cutting problem [J].
Cui, Yaodong ;
Zhang, Xianquan .
COMPUTERS & OPERATIONS RESEARCH, 2007, 34 (10) :2882-2893