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Improving Production in Small and Medium Enterprises

  • María L. BorrajoEmail author
  • Javier Bajo
  • Juan F. De Paz
Conference paper
  • 474 Downloads
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 157)

Abstract

Knowledge management has gained relevance during the last years to improve business functioning. However, there is still a growing need of developing innovative tools that can help small to medium sized enterprises to detect and predict undesired situations. This article present a multi-agent system aimed at detecting risky situations. The multi-agent system incorporates models for reasoning and makes predictions using case-based reasoning. The models are used to detect risky situations and an providing decision support facilities. An initial prototype was developed and the results obtained related to small and medium enterprises in a real scenario are presented.

Keywords

Hybrid neural intelligent system CBR MAS Business Intelligence business risk prediction 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • María L. Borrajo
    • 1
    Email author
  • Javier Bajo
    • 2
  • Juan F. De Paz
    • 3
  1. 1.Dept. InformáticaUniversity of VigoOurenseSpain
  2. 2.Facultad de InformáticaUniversidad Pontificia de SalamancaSalamancaSpain
  3. 3.Departamento Informática y AutomáticaUniversidad de SalamancaSalamancaSpain

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