An intelligent supervision system for open loop controlled processes

  1. González-Marcos, A. 1
  2. Ordieres-Meré, J. 2
  3. Muñoz-Munilla, V. 3
  4. Alba-Elías, F. 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 Universidad Politécnica de Madrid
    info

    Universidad Politécnica de Madrid

    Madrid, España

    ROR https://ror.org/03n6nwv02

  3. 3 Kaufil Sealing Technologies SA, Polígono de Varea s/n, Logroño, La Rioja, Spain
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Revista:
Journal of Intelligent Manufacturing

ISSN: 0956-5515

Año de publicación: 2013

Volumen: 24

Número: 1

Páginas: 15-24

Tipo: Artículo

DOI: 10.1007/S10845-011-0532-6 SCOPUS: 2-s2.0-84872379054 WoS: WOS:000313369800002 GOOGLE SCHOLAR

Otras publicaciones en: Journal of Intelligent Manufacturing

Resumen

On-line manufacturing systems for continuous production are traditionally checked by constant time-based inspection and statistical process control processes. In the monitoring operation of large scale process plants, it is important to detect and locate process variables as they can significantly modify the operation and quality of the products involved. The present paper explores an alternative for monitoring these systems that uses the open loop control paradigm. The proposed method is defined and presented as an application for one particular industrial process - rubber die extrusion. The advantages of this method for this particular application, including its implementation throughout a multi-agent system, compatible with the HoloMAS paradigm for managing, modeling and supporting complex systems, are also discussed. © 2011 Springer Science+Business Media, LLC.