2013
DOI: 10.1080/0305215x.2013.841903
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Parallelized sequential value correction procedure for the one-dimensional cutting stock problem with multiple stock lengths

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Cited by 11 publications
(4 citation statements)
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“…The formula is similar to other ones previously used in the literature, such as the ones in the works of Belov and Scheithauer () and Cui and Tang (). The main idea of how the formula works is the following: (a) the information of the previous patterns is considered by the first term g1ci and the information of the current pattern by the second term g2wip/Uk; (b) in the second term, wip with p>1 indicates that rolls with larger width are given priority; and (c) 1/Uk in the second term denotes that the rolls in the current pattern are given priority when they lead to poor material utilization.…”
Section: Dscsp Optimization Model and Solution Methodsmentioning
confidence: 67%
“…The formula is similar to other ones previously used in the literature, such as the ones in the works of Belov and Scheithauer () and Cui and Tang (). The main idea of how the formula works is the following: (a) the information of the previous patterns is considered by the first term g1ci and the information of the current pattern by the second term g2wip/Uk; (b) in the second term, wip with p>1 indicates that rolls with larger width are given priority; and (c) 1/Uk in the second term denotes that the rolls in the current pattern are given priority when they lead to poor material utilization.…”
Section: Dscsp Optimization Model and Solution Methodsmentioning
confidence: 67%
“…Posteriormente, el desperdicio es reducido si es posible a través iteraciones adicionales, tal y como lo realiza [41].…”
Section: Procedimientos Heurísticos Híbridosunclassified
“…Cui and Tang [7] have presented a value correction approach for One Dimensional Multiple Stock Size Cutting Stock Problem (1DMSSCSP) following the sequential steps. The algorithm designed for generating pattern set for 1DMSSCSP has been developed by Cui et al (cf.…”
Section:  Minimization Of Trim Loss (Scrap) the Combination Of Abovmentioning
confidence: 99%
“…This problem was initiated by Kantarovich [20] in 1960 later Gilmore and Gomory ( [12], [13]) developed the approach to solve the problem by using the column generation approach. In this sequence of development, many researchers (Dyckoff [10], Stadtler [24], Haessler and Vonderembse [18], Dikili and Barlas [9], Gradisar et al [15], Cui [6], Cui et al [7], Vanderbeck [27], Wäscher et al [28]) entered into this field and contributed different formulations and approaches to solve this problem.…”
Section:  Minimization Of Trim Loss (Scrap) the Combination Of Abovmentioning
confidence: 99%