Actas de congresos
Meta-Heuristic Approaches for a Soft Drink Industry Problem
Fecha
2008-01-01Registro en:
2008 Ieee International Conference On Emerging Technologies And Factory Automation, Proceedings. New York: Ieee, p. 1384-+, 2008.
1946-0740
WOS:000260495500221
Autor
Universidade Federal de Lavras (UFLA)
Universidade Estadual Paulista (Unesp)
Institución
Resumen
The present paper evaluates meta-heuristic approaches to solve a soft drink industry problem. This problem is motivated by a real situation found in soft drink companies, where the lot sizing and scheduling of raw materials in tanks and products in lines must be simultaneously determined. Tabu search, threshold accepting and genetic algorithms are used as procedures to solve the problem at hand. The methods are evaluated with a set of instance already available for this problem. This paper also proposes a new set of complex instances. The computational results comparing these approaches are reported.