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Implementing Industrial Control Automation for Holonic Manufacturing Systems Based on the Production Unit Architecture

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Service Orientation in Holonic and Multi-Agent Manufacturing (SOHOMA 2018)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 803))

Abstract

To satisfy the complex needs of a production process control, many architectures have been proposed which regularly can be classified into hierarchical (e.g. ISA 95 standard), heterarchical (e.g. multi-agent systems) and holonic or semiheterarchical, based on the holarchy notion (self-regulating holons organization with “smart” properties). A manufacturing system under the holonic approach (HMS) is considered part of the Intelligent Manufacturing Systems (IMS) implying that the HMS are defined as highly distributed organizations. The goal of these organizations is to decentralize manufacturing into individual entities called holons, which are autonomous, cooperative and intelligent. A. Koestler defines the concept of Holon as a self-similar or fractal, stable and coherent structure consisting of several holon-shaped sub-structures. Thus, no elements in the holarchy can self-develop without their subordinated parts or components. This characteristic ensures that HMS are stable structures that can resist disturbances. Applying this concept results in control processes that are generalized in terms of the next-generation manufacturing systems. The state of the art reveals that traditional manufacturing systems and HMS approaches are characterized by the Production Unit (PU). Examples of HMS proposed during the last decades with their strengths and weaknesses are summarized hereafter. Finally, the goal of this research is to analyze, design, and validate a holonic PU (HPU) model of intelligent control based on HMS. Primary results show an implementation of a decentralized industrial automation. There are given HPU information models in order to establish a control architecture for manufacturing systems to support real-time plant operation.

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Author information

Authors and Affiliations

  1. Institute of Automation and Information Systems, Technical University of Munich, Munich, Germany

    Luis Alberto Cruz Salazar

  2. Departamento de Electrónica, Instrumentación y Control, Universidad del Cauca, Popayán, Colombia

    Oscar Amaury Rojas Alvarado

  3. Departamento de Computación, Escuela de Sistemas, Universidad de Los Andes, Mérida, Venezuela

    Edgar Chacón

Authors
  1. Luis Alberto Cruz Salazar
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  2. Oscar Amaury Rojas Alvarado
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  3. Edgar Chacón
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Corresponding author

Correspondence to Luis Alberto Cruz Salazar .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science (Automatica), University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. LAMIH UMR CNRS 8201, University of Valenciennes, Valenciennes Cedex 9, France

    Damien Trentesaux

  3. École Nationale Supérieure des Tech., University of Lorraine, Epinal Cedex 9, France

    André Thomas

  4. Department of Management, Information and Production Engineering, Università degli Studi di Bergamo, Dalmine (BG), Italy

    Sergio Cavalieri

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Cruz Salazar, L.A., Rojas Alvarado, O.A., Chacón, E. (2019). Implementing Industrial Control Automation for Holonic Manufacturing Systems Based on the Production Unit Architecture. In: Borangiu, T., Trentesaux, D., Thomas, A., Cavalieri, S. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. SOHOMA 2018. Studies in Computational Intelligence, vol 803. Springer, Cham. https://doi.org/10.1007/978-3-030-03003-2_18

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