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

4th International Conference on Operational Research

Octarina, Sisca^1 ; Radiana, Mutia^1 ; Bangun, Putra B. J.^1

Department of Mathematics, Faculty of Mathematics and Natural Sciences, Sriwijaya University, Indonesia^1

关键词: Branch and cut;    Cutting patterns;    Optimal cutting;    Optimal solutions;    Pattern Generation;    Two-dimensional cutting stocks;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/300/1/012021/pdf
DOI  :  10.1088/1757-899X/300/1/012021

来源: IOP

【 摘 要 】

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.