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Application of Genetic Algorithms to a Manufacturing Industry Scheduling Multi-Agent System

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Abstract

This work presents the research about the application of Genetic Algorithms to a scheduling multi-agent system on a textile manufacturing industry.

Manufacturing industries competitiveness greatly depends on their ability to plan and schedule their processes in the most efficient way, as it impacts on production cost and time. Assigning jobs to scarce resources is not an easy to resolve task, mainly in the complex industrial processes context.

This research’s objective is to assess the applicability of Genetic Algorithms to a multi-agent production scheduling system aiming to obtain higher performance levels.

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© 2007 Springer

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Ángeles Solari, M.d.l., Ocampo, E. (2007). Application of Genetic Algorithms to a Manufacturing Industry Scheduling Multi-Agent System. In: Sobh, T., Elleithy, K., Mahmood, A., Karim, M. (eds) Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6266-7_48

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  • DOI: https://doi.org/10.1007/978-1-4020-6266-7_48

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-6265-0

  • Online ISBN: 978-1-4020-6266-7

  • eBook Packages: EngineeringEngineering (R0)

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