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Monitoring and control of production processes based on key performance indicators for mechatronic systems

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  • Wohlers, Benedict
  • Dziwok, Stefan
  • Pasic, Faruk
  • Lipsmeier, Andre
  • Becker, Matthias

Abstract

The processes for manufacturing and operating modern technical products require expertise in multiple disciplines like mechanical engineering, electrical engineering, and software engineering. Assessing the current condition and quality of these processes and the machines involved is challenging due to the inherent complexity of the products and the required expertise in multiple engineering domains. Globalization and increasing competition make it necessary to reduce production costs while at the same time ensuring high throughput and product quality. Without the ability to precisely assess the condition and quality of production processes and involved machines, taking action to steer these metrics is nearly impossible and results in unnecessary high production costs. In our previous publications, we introduced the concept of Key Performance Indicators (KPIs) for mechatronic systems as a concept to assess the condition and quality of products and production processes in a graspable yet substantial and efficient way.

Suggested Citation

  • Wohlers, Benedict & Dziwok, Stefan & Pasic, Faruk & Lipsmeier, Andre & Becker, Matthias, 2020. "Monitoring and control of production processes based on key performance indicators for mechatronic systems," International Journal of Production Economics, Elsevier, vol. 220(C).
    • Handle: RePEc:eee:proeco:v:220:y:2020:i:c:s0925527319302622
    DOI: 10.1016/j.ijpe.2019.07.025
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    References listed on IDEAS

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    1. Amirat, Y. & Benbouzid, M.E.H. & Al-Ahmar, E. & Bensaker, B. & Turri, S., 2009. "A brief status on condition monitoring and fault diagnosis in wind energy conversion systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2629-2636, December.
    2. Orlando Durán & Andrea Capaldo & Paulo Andrés Duran Acevedo, 2018. "Sustainable Overall Throughputability Effectiveness (S.O.T.E.) as a Metric for Production Systems," Sustainability, MDPI, vol. 10(2), pages 1-15, January.
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    1. Snežana Nestić & Ranka Gojković & Tijana Petrović & Danijela Tadić & Predrag Mimović, 2022. "Quality Performance Indicators Evaluation and Ranking by Using TOPSIS with the Interval-Intuitionistic Fuzzy Sets in Project-Oriented Manufacturing Companies," Mathematics, MDPI, vol. 10(22), pages 1-19, November.

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