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The Use of the Simulation Method in Analysing the Performance of a Predictive Maintenance System

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Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference (DCAI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 801))

Abstract

The progressive automation of manufacturing systems results, on the one hand, in a reduction in the number of production workers but necessitates, on the other hand, the development of maintenance systems.

The concept of Industry 4.0 (I4.0) includes implementation of predictive/preventive maintenance as an integral part of manufacturing systems. In this paper, an analysis of the different structures of manufacturing systems, using the simulation method is proposed, in order to evaluate the resistance of a system to change in the availability of manufacturing resources. The parallel-serial manufacturing system is considered where the availability of resources and the capacity of the buffers are input values and the throughput and average product lifespan, that is, the particular detail relating to the time remaining within a system, are output values. The simulation model of the system is created using Tecnomatix Plant Simulation.

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Author information

Authors and Affiliations

  1. Faculty of Mechanical Engineering, University of Zielona Góra, Licealna 9, 65-417, Zielona Góra, Poland

    Sławomir Kłos & Justyna Patalas-Maliszewska

Authors
  1. Sławomir Kłos
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  2. Justyna Patalas-Maliszewska
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Corresponding author

Correspondence to Sławomir Kłos .

Editor information

Editors and Affiliations

  1. BISITE Digital Innovation Hub, University of Salamanca, Salamanca, Spain

    Sara Rodríguez

  2. BISITE Digital Innovation Hub, University of Salamanca, Salamanca, Spain

    Javier Prieto

  3. GECAD - Instituto Superior de Engenharia, Porto, Portugal

    Pedro Faria

  4. Department of Computer Science and Production Management, University of Zielona Góra, Zielona Góra, Poland

    Sławomir Kłos

  5. Computing Science and Artificial Intelligence, Rey Juan Carlos University, Móstoles, Madrid, Spain

    Alberto Fernández

  6. Basque Center for Applied Mathematics, Bilbao, Spain

    Santiago Mazuelas

  7. Basque Center for Applied Mathematics, Universidad de Alcalá, Alcalá de Henares, Spain

    M. Dolores Jiménez-López

  8. Departamento de Informática y Automática, University of Salamanca, Salamanca, Spain

    María N. Moreno

  9. Departamento de Sistemas Informáticos, University of Castilla-La Mancha, Albacete, Spain

    Elena M. Navarro

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Kłos, S., Patalas-Maliszewska, J. (2019). The Use of the Simulation Method in Analysing the Performance of a Predictive Maintenance System. In: Rodríguez, S., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference. DCAI 2018. Advances in Intelligent Systems and Computing, vol 801. Springer, Cham. https://doi.org/10.1007/978-3-319-99608-0_5

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