Systematic maintenance action modularization for improved initiative prioritization

Julie Krogh Agergaard; Kristoffer Vandrup Sigsgaard; Niels Henrik Mortensen; Jingrui Ge; Kasper Barslund Hansen

doi:10.35199/NORDDESIGN2022.39

Systematic maintenance action modularization for improved initiative prioritization

Julie Krogh Agergaard, Kristoffer Vandrup Sigsgaard, Niels Henrik Mortensen, Jingrui Ge, Kasper Barslund Hansen

Department of Civil and Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Maintenance action descriptions can easily contain large amounts of variation without describing variation in the actions taken. Especially when plants grow large, this variation makes it difficult to gain an overview and make decisions on initiative prioritization. This paper proposes a method for the decomposition of the maintenance actions into modules that can then give insight into the maintenance performance. The method evaluates the true variation of the maintenance actions and standardizes them, making it possible to show the true variation and performance of the maintenance activities

Original language	English
Title of host publication	Proceedings of NordDesign 2022
Editors	N.H. Mortensen, C.T Hansen, M. Deininger
Number of pages	13
Volume	DS 118
Publisher	Cambridge University Press
Publication date	2022
ISBN (Electronic)	9781912254170
DOIs	https://doi.org/10.35199/NORDDESIGN2022.39
Publication status	Published - 2022
Event	NordDesign 2022 - Copenhagen, Denmark Duration: 16 Aug 2022 → 18 Aug 2022

Conference

Conference	NordDesign 2022
Country/Territory	Denmark
City	Copenhagen
Period	16/08/2022 → 18/08/2022

Keywords

Modularisation
Big data analysis
Variant management
Maintenance

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10.35199/NORDDESIGN2022.39

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title = "Systematic maintenance action modularization for improved initiative prioritization",

abstract = "Maintenance action descriptions can easily contain large amounts of variation without describing variation in the actions taken. Especially when plants grow large, this variation makes it difficult to gain an overview and make decisions on initiative prioritization. This paper proposes a method for the decomposition of the maintenance actions into modules that can then give insight into the maintenance performance. The method evaluates the true variation of the maintenance actions and standardizes them, making it possible to show the true variation and performance of the maintenance activities",

keywords = "Modularisation, Big data analysis, Variant management, Maintenance",

author = "Agergaard, {Julie Krogh} and Sigsgaard, {Kristoffer Vandrup} and Mortensen, {Niels Henrik} and Jingrui Ge and Hansen, {Kasper Barslund}",

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doi = "10.35199/NORDDESIGN2022.39",

language = "English",

volume = "DS 118",

editor = "N.H. Mortensen and C.T Hansen and M. Deininger",

booktitle = "Proceedings of NordDesign 2022",

publisher = "Cambridge University Press",

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note = "NordDesign 2022 ; Conference date: 16-08-2022 Through 18-08-2022",

}

Systematic maintenance action modularization for improved initiative prioritization. / Agergaard, Julie Krogh; Sigsgaard, Kristoffer Vandrup ; Mortensen, Niels Henrik et al.
Proceedings of NordDesign 2022. ed. / N.H. Mortensen; C.T Hansen; M. Deininger. Vol. DS 118 Cambridge University Press, 2022.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Systematic maintenance action modularization for improved initiative prioritization

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AU - Sigsgaard, Kristoffer Vandrup

AU - Mortensen, Niels Henrik

AU - Ge, Jingrui

AU - Hansen, Kasper Barslund

PY - 2022

Y1 - 2022

N2 - Maintenance action descriptions can easily contain large amounts of variation without describing variation in the actions taken. Especially when plants grow large, this variation makes it difficult to gain an overview and make decisions on initiative prioritization. This paper proposes a method for the decomposition of the maintenance actions into modules that can then give insight into the maintenance performance. The method evaluates the true variation of the maintenance actions and standardizes them, making it possible to show the true variation and performance of the maintenance activities

AB - Maintenance action descriptions can easily contain large amounts of variation without describing variation in the actions taken. Especially when plants grow large, this variation makes it difficult to gain an overview and make decisions on initiative prioritization. This paper proposes a method for the decomposition of the maintenance actions into modules that can then give insight into the maintenance performance. The method evaluates the true variation of the maintenance actions and standardizes them, making it possible to show the true variation and performance of the maintenance activities

KW - Modularisation

KW - Big data analysis

KW - Variant management

KW - Maintenance

U2 - 10.35199/NORDDESIGN2022.39

DO - 10.35199/NORDDESIGN2022.39

M3 - Article in proceedings

VL - DS 118

BT - Proceedings of NordDesign 2022

A2 - Mortensen, N.H.

A2 - Hansen, C.T

A2 - Deininger, M.

PB - Cambridge University Press

T2 - NordDesign 2022

Y2 - 16 August 2022 through 18 August 2022

ER -

Systematic maintenance action modularization for improved initiative prioritization

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