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Heuristic to optimize L-guillotine cutting operations

Published online by Cambridge University Press:  22 July 2005

ALBERTO GÓMEZ ,
DAVID DE LA FUENTE ,
PAOLO PRIORE  and
JAVIER PUENTE
ALBERTO GÓMEZ
Affiliation:
Departamento de Admon de Empresas y Contabilidad, Escuela Politécnica Superior de Ingeniería de Gijón, Universidad de Oviedo, Edificio de Energía, 33204 Gijón, Asturias, Spain
DAVID DE LA FUENTE
Affiliation:
Departamento de Admon de Empresas y Contabilidad, Escuela Politécnica Superior de Ingeniería de Gijón, Universidad de Oviedo, Edificio de Energía, 33204 Gijón, Asturias, Spain
PAOLO PRIORE
Affiliation:
Departamento de Admon de Empresas y Contabilidad, Escuela Politécnica Superior de Ingeniería de Gijón, Universidad de Oviedo, Edificio de Energía, 33204 Gijón, Asturias, Spain
JAVIER PUENTE
Affiliation:
Departamento de Admon de Empresas y Contabilidad, Escuela Politécnica Superior de Ingeniería de Gijón, Universidad de Oviedo, Edificio de Energía, 33204 Gijón, Asturias, Spain
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Abstract

This study presents an application to optimize the use of an L-cut guillotine machine. The application has two distinct parts to it; first, a number of rectangular shapes are placed on as few metal sheets as possible by using genetic algorithms. Second, the sequence for cutting these pieces has to be generated. The guillotine's numeric control then uses this sequence to make the cuts.

Keywords

Genetic AlgorithmsHeuristicOptimizationPacking

Information

Type
PRACTICUM PAPER
Information
AI EDAM , Volume 19 , Issue 1 , February 2005 , pp. 33 - 38
Copyright
2005 Cambridge University Press

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References

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