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: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publication2019 4th International Conference on System Reliability and Safety, ICSRS 2019
Place of PublicationRome, Italy
PublisherInstitute of Electrical and Electronics Engineers
Pages267-274
Number of pages8
ISBN (Electronic)9781728147819
DOIs
Publication statusPublished - Nov 2019
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/

Publication series

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

Conference

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

Keywords

  • maintenance strategy selection problem
  • predictive maintenance
  • AI-based prognostics
  • conceptual model
  • production systems
  • Production systems
  • Maintenance strategy selection problem
  • Conceptual model
  • Predictive maintenance

ASJC Scopus subject areas

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research
  • Information Systems and Management
  • Control and Optimization
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

Fields of Expertise

  • Mobility & Production

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