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From Spatio-Temporal Data to Manufacturing System Model

A Data-Knowledge Integration Approach

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Journal of Control, Automation and Electrical Systems Aims and scope Submit manuscript

Abstract

This paper presents an original approach for automatic construction of a simulation model for complex manufacturing systems. The model generation is based on spatio-temporal product trajectories, and it is detailed by the integration of heterogeneous knowledge & product data flows. The products, therefore, contribute directly to the control of the system. The formal generated model, a queuing network with spatial structure, is a permanent image of the real state of the system to be modelled; it can be described as being auto-adaptive.

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Acknowledgments

The authors gratefully acknowledge the financial support of the CPER 2007-2013 “Structuration du Pôle de Compétitivité Fibres Grand’Est” (Competitiveness Fibre Cluster), through local (Conseil Général des Vosges), regional (Région Lorraine), national (DRRT and FNADT) and European (FEDER) funds. The study is cofounded by the European Union from resources of the European Social Fund. Project PO KL “Information Technologies: Research and their interdisciplinary applications”, Agreement UDA-POKL.04.01.01-00-051/10-00.

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Authors and Affiliations

  1. Research Centre for Automatic Control (CRAN), CNRS (UMR 7039), University of Lorraine, Campus Sciences, BP 70239, 54506 , Vandœuvre Cedex, France

    Patrick Charpentier

  2. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447 , Warsaw, Poland

    Andrés Véjar

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  1. Patrick Charpentier
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  2. Andrés Véjar
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Correspondence to Patrick Charpentier.

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Charpentier, P., Véjar, A. From Spatio-Temporal Data to Manufacturing System Model. J Control Autom Electr Syst 25, 557–565 (2014). https://doi.org/10.1007/s40313-014-0133-7

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  • DOI: https://doi.org/10.1007/s40313-014-0133-7

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