Implementation of pattern generation algorithm in forming Gilmore and Gomory model for two dimensional cutting stock problem

Two dimensional cutting stock problem (CSP) is a problem in determining the cutting pattern from a set of stock with standard length and width to fulfill the demand of items. Cutting patterns were determined in order to minimize the usage of stock. This research implemented pattern generation algori...

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Bibliographic Details
Published inIOP conference series. Materials Science and Engineering Vol. 300; no. 1; pp. 12021 - 12027
Main Authors Octarina, Sisca, Radiana, Mutia, Bangun, Putra B J
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.01.2018
Subjects
Algorithms
Constraint modelling
Cutting
Pattern generation
Two dimensional models
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Summary:Two dimensional cutting stock problem (CSP) is a problem in determining the cutting pattern from a set of stock with standard length and width to fulfill the demand of items. Cutting patterns were determined in order to minimize the usage of stock. This research implemented pattern generation algorithm to formulate Gilmore and Gomory model of two dimensional CSP. The constraints of Gilmore and Gomory model was performed to assure the strips which cut in the first stage will be used in the second stage. Branch and Cut method was used to obtain the optimal solution. Based on the results, it found many patterns combination, if the optimal cutting patterns which correspond to the first stage were combined with the second stage.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/300/1/012021