A condition based model using performance data for strategic asset maintenance in a water utility
Jirsak, Cenek and Bedford, Tim and Revie, Matthew and Walls, Lesley; (2013) A condition based model using performance data for strategic asset maintenance in a water utility. In: ESREL Conference. Thomson Reuters.
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A water utility would like to model condition of a key strategic asset using performance data to inform future maintenance decision-making. Currently, routine maintenance at water treatment works are informed by an assessment of component condition based on time-based inspections. We propose a method for using performance data gathered by the utility for legislative purposes to inform maintenance decision-making. This model framework is grounded in the theory and methods of stochastic processes and elicitation of expert judgment, but aligned with the practicalities of the industrial decision-making context. After describing the asset to be modelled, the data available and the principles of the Hidden Markov Model developed, we illustrate an application to three water treatment works. The credibility of the modelling assumptions to accommodate the limitations of the real data are discussed.
ORCID iDs
Jirsak, Cenek, Bedford, Tim ORCID: https://orcid.org/0000-0002-3545-2088, Revie, Matthew ORCID: https://orcid.org/0000-0002-0130-8109 and Walls, Lesley ORCID: https://orcid.org/0000-0001-7016-9141;-
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Item type: Book Section ID code: 43706 Dates: DateEvent2013PublishedSubjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management Department: Strathclyde Business School > Management Science Depositing user: Pure Administrator Date deposited: 02 May 2013 14:47 Last modified: 11 Nov 2024 14:52 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/43706