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

Research output: Contribution to conferencePaperResearchpeer-review

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.
Translated title of the contributionA Conceptual Modeling Framework for Evaluating the Performance of Predictive Maintenance for Modern, Real-World Production Systems using Potentials and Risks of Industry 4.0
Original languageEnglish
Pages267-274
DOIs
Publication statusPublished - 12 Feb 2020
Event2019 4th International Conference on System Reliability and Safety - NH Roma Villa Carpegna, Rom, Italy
Duration: 20 Nov 201922 Nov 2019
Conference number: 4
http://www.icsrs.org/

Conference

Conference2019 4th International Conference on System Reliability and Safety
Abbreviated titleICSRS
CountryItaly
CityRom
Period20/11/1922/11/19
Internet address

Fingerprint

Industry
Testbeds
Throughput
Availability
Conceptual modeling
Maintenance strategy
Factors
Simulation model
Prediction
Disadvantage
Conceptual model
Resources

Keywords

  • maintenance strategy selection problem
  • predictive maintenance
  • AI-based prognostics
  • conceptual model
  • production systems

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Artificial Intelligence
  • Industrial and Manufacturing Engineering

Fields of Expertise

  • Mobility & Production

Cite this

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. / Gutschi, Clemens; Furian, Nikolaus; Pan, Johannes; Vössner, Siegfried.

2020. 267-274 Paper presented at 2019 4th International Conference on System Reliability and Safety, Rom, Italy.

Research output: Contribution to conferencePaperResearchpeer-review

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