Development and integration of a reactive real-time decision support system in the aluminum industry

  • Authors:
  • Benoít Saenz de Ugarte;Adnène Hajji;Robert Pellerin;Abdelhakim Artiba

  • Affiliations:
  • Department of Mathematics and Industrial Engineering, ícole Polytechnique de Montréal, Montréal, Canada;Department of Mathematics and Industrial Engineering, ícole Polytechnique de Montréal, Montréal, Canada;Department of Mathematics and Industrial Engineering, ícole Polytechnique de Montréal, Montréal, Canada;LISMMA, Supméca, Paris, France

  • Venue:
  • Engineering Applications of Artificial Intelligence
  • Year:
  • 2009

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Abstract

This paper aims at providing real-time decision support in reaction to disruptive events in manufacturing environments. More precisely, we demonstrate how this approach can support the rescheduling process in enterprise resource planning (ERP)-controlled environments. Our demonstrative example, based on a real scenario in the aluminum industry, illustrates how a genetic algorithm and a real-time discrete event simulation model can be integrated within the common enterprise information systems.