A framework to enhance predictive maintenance installation in high volume production environments: A case study

Johannes Pan*, Clemens Gutschi, Nikolaus Furian, Dominik Mizelli, Siegfried Voessner

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

The variety of different malfunctions and breakdowns can significantly impact the performance of a company. Gaining an understanding of the impact of individual components and associated failure mechanisms have on a system is crucial for its overall performance. In order to define the best mix of maintenance strategies for system components, this paper presents a systematic approach, how failure modes and maintenance parameters can be analyzed in order to derive the appropriate strategy and measures for efficient production. Not only the reliability of the components is examined, but also their influence on safety, downtime and quality.

Original languageEnglish
Pages (from-to)134-139
Number of pages6
JournalProcedia CIRP
Volume112
DOIs
Publication statusPublished - 2022
Event15th CIRP Conference on Intelligent Computation in Manufacturing Engineering: ICME 2021 - Naples, Italy
Duration: 14 Jul 202116 Jul 2021

Keywords

  • Criticality Analysis
  • Maintenance Selection
  • Management strategy
  • Predictive maintenance

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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