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

^*Korrespondierende/r Autor/-in für diese Arbeit

Institut für Maschinenbau- und Betriebsinformatik (3740)

Publikation: Beitrag in einer Fachzeitschrift › Konferenzartikel › Begutachtung

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.

Originalsprache	englisch
Seiten (von - bis)	134-139
Seitenumfang	6
Fachzeitschrift	Procedia CIRP
Jahrgang	112
DOIs	https://doi.org/10.1016/j.procir.2022.09.051
Publikationsstatus	Veröffentlicht - 2022
Veranstaltung	15th CIRP Conference on Intelligent Computation in Manufacturing Engineering: ICME 2021 - Naples, Italien Dauer: 14 Juli 2021 → 16 Juli 2021

ASJC Scopus subject areas

Steuerungs- und Systemtechnik
Wirtschaftsingenieurwesen und Fertigungstechnik

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10.1016/j.procir.2022.09.051Lizenz: CC BY-NC-ND 4.0

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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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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

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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

ASJC Scopus subject areas

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