Applying genetic algorithms for production scheduling and resource allocation: special case: a small size manufacturing company

Authors:
A. Ricardo Contreras;C. Virginia Valero;J. M. Angélica Pinninghoff
Affiliations:
Informatics Engineering and Computer Science Department, University of Concepción, Chile;Informatics Engineering and Computer Science Department, University of Concepción, Chile;Informatics Engineering and Computer Science Department, University of Concepción, Chile
Venue:
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Year:
2005

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Abstract

This paper describes a Genetic Algorithm approach to solve a task scheduling problem at a small size manufacturing company. The operational solution must fulfill two basic requirements: low cost and usability. The proposal was implemented and results obtained with the system lead to better results compared to previous and non-computerized solutions.