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A control architecture for continuous production processes based on industry 4.0: water supply systems application

Author

Listed:
  • Edgar Chacón

    (Universidad de Los Andes)

  • Luis Alberto Cruz Salazar

    (Universidad Antonio Nariño
    Technical University of Munich)

  • Juan Cardillo

    (Universidad de Los Andes)

  • Yenny Alexandra Paredes Astudillo

    (Pontificia Universidad Javeriana)

Abstract

Industry 4.0 (I4.0) brings together new disruptive technologies, increasing future factories’ productivity. Indeed, the control of production processes is fast becoming a key driver for manufacturing operations. Manufacturing control systems have recently been developed for distributed or semi-heterarchical architectures, e.g., holonic systems improving global efficiency and manufacturing operations’ reactiveness. So far, previous studies and applications have not dealt with continuous production processes, such as applications for Water Supply System (WSS), oil refining, or electric power plants. The complexity of continuous production is that a single fault can degrade extensively and even cause service disruption. Therefore, this paper proposes the Holonic Production Unit (HPU) architecture as a solution to control continuous production processes. An HPU is created as a holon unit depicting resources in a continuous process. This unit can detect events within the environment, evaluate several courses of action, and change the parameters aligned to a mission. The proposed approach was tested using a simulated model of WSS. The experiments described in this paper were conducted using a traditional WSS, where the communication and decision-making features allow the application of HPU. The results suggest that constructing a holarchy with different holons can fulfill I4.0 requirements for continuous production processes.

Suggested Citation

  • Edgar Chacón & Luis Alberto Cruz Salazar & Juan Cardillo & Yenny Alexandra Paredes Astudillo, 2021. "A control architecture for continuous production processes based on industry 4.0: water supply systems application," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 2061-2081, October.
    • Handle: RePEc:spr:joinma:v:32:y:2021:i:7:d:10.1007_s10845-021-01790-3
    DOI: 10.1007/s10845-021-01790-3
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    References listed on IDEAS

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    1. Adrià Salvador Palau & Maharshi Harshadbhai Dhada & Ajith Kumar Parlikad, 2019. "Multi-agent system architectures for collaborative prognostics," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2999-3013, December.
    2. João Dias-Ferreira & Luis Ribeiro & Hakan Akillioglu & Pedro Neves & Mauro Onori, 2018. "BIOSOARM: a bio-inspired self-organising architecture for manufacturing cyber-physical shopfloors," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1659-1682, October.
    3. Luis Ribeiro & Martin Hochwallner, 2018. "On the Design Complexity of Cyberphysical Production Systems," Complexity, Hindawi, vol. 2018, pages 1-13, June.
    4. Jose-Fernando Jimenez & Abdelghani Bekrar & Gabriel Zambrano-Rey & Damien Trentesaux & Paulo Leitão, 2017. "Pollux: a dynamic hybrid control architecture for flexible job shop systems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(15), pages 4229-4247, August.
    5. Matthias Seitz & Felix Gehlhoff & Luis Alberto Cruz Salazar & Alexander Fay & Birgit Vogel-Heuser, 2021. "Automation platform independent multi-agent system for robust networks of production resources in industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 2023-2041, October.
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