Standardising Maintenance Jobs to Improve Grouping Decision Making

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

doi:10.1017/pds.2021.531

Standardising Maintenance Jobs to Improve Grouping Decision Making

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

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Abstract

Maintenance decision making is an important part of managing the costs, effectiveness and risk of maintenance. One way to improve maintenance efficiency without affecting the risk picture is to group maintenance jobs. Literature includes many examples of algorithms for the grouping of maintenance activities. However, the data is not always available, and with increasing plant complexity comes increasingly complex decision requirements, making it difficult to leave the decision making up to algorithms.

This paper suggests a framework for the standardisation of maintenance data as an aid for maintenance experts to make decisions on maintenance grouping. The standardisation improves the basis for decisions, giving an overview of true variance within the available data. The goal of the framework is to make it simpler to apply tacit knowledge and make right decisions.

Applying the framework in a case study showed that groups can be identified and reconfigured and potential savings easily estimated when maintenance jobs are standardised. The case study enabled an estimated 7%-9% saved on the number of hours spent on the investigated jobs.

Original language	English
Title of host publication	Proceedings of the Design Society
Volume	1
Publisher	Cambridge University Press
Publication date	2021
Pages	2701 - 2710
DOIs	https://doi.org/10.1017/pds.2021.531
Publication status	Published - 2021
Event	23rd International Conference on Engineering Design (ICED21) - Chalmers University of Technology, Gothenburg, Sweden Duration: 16 Aug 2021 → 20 Aug 2021

Conference

Conference	23rd International Conference on Engineering Design (ICED21)
Location	Chalmers University of Technology
Country/Territory	Sweden
City	Gothenburg
Period	16/08/2021 → 20/08/2021

Bibliographical note

This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.

Keywords

Modularization
Maintenance
Knowledge management
Large-scale engineering systems
Big data

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Cite this

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title = "Standardising Maintenance Jobs to Improve Grouping Decision Making",

abstract = "Maintenance decision making is an important part of managing the costs, effectiveness and risk of maintenance. One way to improve maintenance efficiency without affecting the risk picture is to group maintenance jobs. Literature includes many examples of algorithms for the grouping of maintenance activities. However, the data is not always available, and with increasing plant complexity comes increasingly complex decision requirements, making it difficult to leave the decision making up to algorithms.This paper suggests a framework for the standardisation of maintenance data as an aid for maintenance experts to make decisions on maintenance grouping. The standardisation improves the basis for decisions, giving an overview of true variance within the available data. The goal of the framework is to make it simpler to apply tacit knowledge and make right decisions.Applying the framework in a case study showed that groups can be identified and reconfigured and potential savings easily estimated when maintenance jobs are standardised. The case study enabled an estimated 7%-9% saved on the number of hours spent on the investigated jobs.",

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Agergaard, JK, Sigsgaard, KV , Mortensen, NH, Ge, J, Hansen, KB & Khalid, W 2021, Standardising Maintenance Jobs to Improve Grouping Decision Making. in Proceedings of the Design Society. vol. 1, Cambridge University Press, pp. 2701 - 2710, 23rd International Conference on Engineering Design (ICED21), Gothenburg, Sweden, 16/08/2021. https://doi.org/10.1017/pds.2021.531

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N1 - This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.

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ER -

Standardising Maintenance Jobs to Improve Grouping Decision Making

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Keywords

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