A Conceptual Modeling Framework for Evaluating the Performance of Predictive Maintenance for Modern, Real-World Production Systems using Potentials and Risks of Industry 4.0

Titel in Übersetzung: A Conceptual Modeling Framework for Evaluating the Performance of Predictive Maintenance for Modern, Real-World Production Systems using Potentials and Risks of Industry 4.0

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

The overall performance of real world production systems is heavily influenced by the applied mix of maintenance strategies. The choice is dependent on various factors which need to be understood and investigated in detail. The emerging trend towards AI-based prognostic models bring advantages in model creation but also disadvantages in prediction quality. To accomplish this, we introduce a conceptual model, which serves as a basis for a simulation model. The latter may be used as a testbed for evaluating different combinations of applied maintenance strategies with respect to throughput, availabilities and maintenance resources.
Titel in ÜbersetzungA Conceptual Modeling Framework for Evaluating the Performance of Predictive Maintenance for Modern, Real-World Production Systems using Potentials and Risks of Industry 4.0
Originalspracheenglisch
Titel2019 4th International Conference on System Reliability and Safety, ICSRS 2019
ErscheinungsortRome, Italy
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
Seiten267-274
Seitenumfang8
ISBN (elektronisch)9781728147819
DOIs
PublikationsstatusVeröffentlicht - Nov. 2019
Veranstaltung2019 4th International Conference on System Reliability and Safety - NH Roma Villa Carpegna, Rom, Italien
Dauer: 20 Nov. 201922 Nov. 2019
Konferenznummer: 4
http://www.icsrs.org/

Publikationsreihe

Name2019 4th International Conference on System Reliability and Safety, ICSRS 2019

Konferenz

Konferenz2019 4th International Conference on System Reliability and Safety
KurztitelICSRS
Land/GebietItalien
OrtRom
Zeitraum20/11/1922/11/19
Internetadresse

ASJC Scopus subject areas

  • Artificial intelligence
  • Wirtschaftsingenieurwesen und Fertigungstechnik
  • Managementlehre und Operations Resarch
  • Informationssysteme und -management
  • Steuerung und Optimierung
  • Sicherheit, Risiko, Zuverlässigkeit und Qualität
  • Computernetzwerke und -kommunikation

Fields of Expertise

  • Mobility & Production

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