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Applying Genetic Algorithms for Production Scheduling and Resource Allocation. Special Case: A Small Size Manufacturing Company

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Innovations in Applied Artificial Intelligence (IEA/AIE 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3533))

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.

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Authors and Affiliations

  1. Informatics Engineering and Computer Science Department, University of Concepción, Chile

    A. Ricardo Contreras, C. Virginia Valero & J. M. Angélica Pinninghoff

Authors
  1. A. Ricardo Contreras
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  2. C. Virginia Valero
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  3. J. M. Angélica Pinninghoff
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas State University-San Marcos, Nueces 247, 601 University Drive, 78666-4616, San Marcos, TX, USA

    Moonis Ali

  2. Dipartimento di Informatica, Università degli Studi di Bari,  

    Floriana Esposito

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© 2005 Springer-Verlag Berlin Heidelberg

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Contreras, A.R., Valero, C.V., Pinninghoff, J.M.A. (2005). Applying Genetic Algorithms for Production Scheduling and Resource Allocation. Special Case: A Small Size Manufacturing Company. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_74

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  • DOI: https://doi.org/10.1007/11504894_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26551-1

  • Online ISBN: 978-3-540-31893-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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