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

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

International Journal of Production Economics, 2020, vol. 220, issue C

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.

Keywords: Condition monitoring; Production process; Key performance indicator; Statistical process control; Product control; Quality control (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:220:y:2020:i:c:s0925527319302622

DOI: 10.1016/j.ijpe.2019.07.025

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