Toward a framework for a maintenance architecture
Journal of Quality in Maintenance Engineering
ISSN: 1355-2511
Article publication date: 25 March 2021
Issue publication date: 28 March 2022
Abstract
Purpose
This paper aims to investigate how the product architecture and service architecture methodology can be applied in strategic maintenance optimization to reduce the non-value-adding variance of maintenance, decrease the complexity and ensure alignment in maintenance practices in asset-intensive companies. The proposed maintenance architecture model will make it possible to make data-driven decisions regarding how the equipment should be grouped and maintained.
Design/methodology/approach
The research approach is considered exploratory, and the main research strategy is a case study. The maintenance architecture model is developed based on the product architecture methodology and then tested in three different cases in the oil and gas sector.
Findings
Through the maintenance architecture model, it is possible to pair a quantitative data-driven approach with qualitative understanding of dependencies between equipment, maintenance actions and maintenance work management processes, enabling a more holistic and top-down data-driven approach to improving maintenance, than what currently exists in literature.
Originality/value
The proposed model provides a contribution to the understanding of maintenance and is positioned at a detailed level, different from other maintenance improvement models. This model is focused on the main drivers of maintenance that can be utilized at the strategic level compared to optimization of maintenance for individual pieces of equipment.
Keywords
Acknowledgements
The authors would like to thank Danish Hydrocarbon Research and Technology Centre and Department of Mechanical Engineering at Technical University of Denmark for funding this research.
Citation
Sigsgaard, K.V., Soleymani, I., Mortensen, N.H., Khalid, W. and Hansen, K.B. (2022), "Toward a framework for a maintenance architecture", Journal of Quality in Maintenance Engineering, Vol. 28 No. 2, pp. 474-490. https://doi.org/10.1108/JQME-01-2020-0004
Publisher
:Emerald Publishing Limited
Copyright © 2021, Emerald Publishing Limited