Utilising failure history to improve maintenance planning
DS 118: Proceedings of NordDesign 2022, Copenhagen, Denmark, 16th - 18th August 2022
Year: 2022
Editor: Mortensen, N.H.; Hansen, C.T. and Deininger, M.
Author: Didriksen, Simon; Hansen, Kasper B.; Sigsgaard, Kristoffer V.; Mortensen, Niels Henrik; Agergaard, Julie K.; Ge, Jingrui
Series: NordDESIGN
Institution: Technical University of Denmark
Section: Modularisation
Page(s): 12
DOI number: https://doi.org/10.35199/NORDDESIGN2022.42
ISBN: 9781912254170
Abstract
Improving decision support in the maintenance planning process by utilising maintenance data is in literature considered to hold a great potential. This study proposes a principle for linking failure history to a multi-classification model of existing systems as a mean of improving decision support when the frequency of failure observations is low. The case study indicates a potential for the principle to provide support for key decisions in the corrective maintenance planning process by enabling similarity comparison of failures across the system.
Keywords: Decision-making, information retrieval, knowledge sharing, optimisation, data driven design