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

doi:10.1016/j.procir.2022.09.051

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

Institute of Engineering and Business Informatics (3740)

Research output: Contribution to journal › Conference article › peer-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 language	English
Pages (from-to)	134-139
Number of pages	6
Journal	Procedia CIRP
Volume	112
DOIs	https://doi.org/10.1016/j.procir.2022.09.051
Publication status	Published - 2022
Event	15th CIRP Conference on Intelligent Computation in Manufacturing Engineering: ICME 2021 - Naples, Italy Duration: 14 Jul 2021 → 16 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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10.1016/j.procir.2022.09.051Licence: CC BY-NC-ND 4.0

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title = "A framework to enhance predictive maintenance installation in high volume production environments: A case study",

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.",

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author = "Johannes Pan and Clemens Gutschi and Nikolaus Furian and Dominik Mizelli and Siegfried Voessner",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.. All rights reserved.; 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering : ICME 2021, ICME 2021 ; Conference date: 14-07-2021 Through 16-07-2021",

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doi = "10.1016/j.procir.2022.09.051",

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T1 - A framework to enhance predictive maintenance installation in high volume production environments

T2 - 15th CIRP Conference on Intelligent Computation in Manufacturing Engineering

AU - Pan, Johannes

AU - Gutschi, Clemens

AU - Furian, Nikolaus

AU - Mizelli, Dominik

AU - Voessner, Siegfried

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Criticality Analysis

KW - Maintenance Selection

KW - Management strategy

KW - Predictive maintenance

UR - http://www.scopus.com/inward/record.url?scp=85142636018&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2022.09.051

DO - 10.1016/j.procir.2022.09.051

M3 - Conference article

AN - SCOPUS:85142636018

SN - 2212-8271

VL - 112

SP - 134

EP - 139

JO - Procedia CIRP

JF - Procedia CIRP

Y2 - 14 July 2021 through 16 July 2021

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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