Using Simulated Annealing with a Neighborhood Heuristic for Roll Cutting Optimization
Aplicando Recocido Simulado con Heurística de Vecindad a la Optimización de Cortes en Rollos
Horacio Martínez Alfaro and Manuel Valenzuela Rendón
Centro de Computación Inteligente y Robótica Tecnológico de Monterrey Monterrey, N.L. 64849 México Ph. +52 81.8328.4381 F. +52 81.8328.4189 hma@itesm.mx ; valenzuela@itesm.mx
]]> Article received on July 15, 2008
Abstract
This article presents the use of the Simulated Annealing algorithm with a heuristic to solve the waste minimization problem in roll cutting programming, in this case, paper. Client orders, which vary in weight, width, and external and internal diameter, are fully satisfied. Several tests were performed with real data from a paper company in which an average of 30% waste reduction and 100% reduction in production to inventory are obtained compare to the previous procedure.
Keywords: Simulated Annealing, optimization, heuristics, cutting, paper rolls.
Resumen
Este artículo presenta el uso del algoritmo de Recocido Simulado con una heurística para resolver el problema de minimización de desperdicio en la programación de cortes en rollos, en este caso de papel. Las órdenes de los clients, que varían en peso, ancho, y diámetro interno y externo, se satisfacen al 100%. Se realizan varias pruebas con datos reales de una compañía en donde en promedio se obtiene un ahorro del 30% de desperdicio y 100% de producción a inventario comparado con el procedimiento anterior.
Palabras clave: Recocido simulado, optimización, heurísticas, corte, rollos de papel.
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