A multi-objective approach based on soft computing techniques for production scheduling in Corrugator manufacturing plants

Germán A. Velásquez D. ^[2] ; Gisella Bellini ^[1] ; Carlos D. Paternina-Arboleda ^[1]
1. [1] Universidad del Norte
  
  Universidad del Norte
  
  Colombia
2. [2] Empaques Industriales
Localización: Ingeniería y desarrollo: revista de la División de Ingeniería de la Universidad del Norte, ISSN 0122-3461, Nº. 21, 2007 (Ejemplar dedicado a: Enero - Junio), págs. 73-92
Idioma: inglés
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Resumen
- AbstractThe corrugator scheduling problem is a difficult problem due to a wide varietyof parameters and optimisation objectives that have to be accounted for andthe relationships among them. Majority of solution techniques proposed so faronly deal with minimizing either, the trim waste or pattern changes, this paperproposes a multi-objective evolutionary algorithm to optimize the WPL objective(weighted planning level) and the cost objectives. Computational experimentswere conducted and results were compared against the current shop schedulingmethod used at a real-life corrugator manufacturing facility. A series of experimentswere also conducted to determine the evolutionary algorithm parameters. Theimprovement on performance metrics encourages us to actually implement thealgorithm at the factory.