Quantifying the value of negative inspection outcomes in fatigue maintenance planning: Cost reduction, risk mitigation and reliability growth
With the development of sensing, non-destructive evaluation and information technology, benefits of informed structural maintenance decision-making based on systematic decision analysis have been increasingly appreci-ated and required. This tendency necessitates methods for quantifying the value of information (VoI) provided by condition inspections (or monitoring) and fully utilizing the VoI, i.e., transforming information into improved maintenance decisions that add value. While positive inspection outcomes are often considered as indicators for maintenance actions, implications of negative outcomes on reliability, risk and costs are seldom quantified. The objective of this study is to investigate potential benefits of negative outcomes to maintenance costs, failure risk and reliability from a maintenance planning perspective by developing a probabilistic VoI computational method. A structural maintenance decision-making framework and a VoI computational method are developed, considering uncertainties associated with structural deterioration forecast and inspection outcomes. For the first time, influences of maintenance effect modeling on VoI computation are investigated. The framework and method are illustrated on a marine structure. It is concluded that the VoI from negative outcomes can be attributed to reductions of both maintenance costs and failure risk, especially when high-quality inspection techniques are used and maintenance effects are imperfect.
First ; Corresponding
European Union ; Southern University of Science and Technology[Y01316134]
|WOS Research Area|
Engineering ; Operations Research & Management Science
Engineering, Industrial ; Operations Research & Management Science
|WOS Accession No|
|EI Accession Number|
Condition based maintenance ; Cost benefit analysis ; Decision making ; Deterioration ; Forecasting ; Inspection ; Nondestructive examination ; Offshore structures ; Reliability analysis ; Risk analysis ; Risk assessment ; Safety engineering
|ESI Classification Code|
Marine Drilling Rigs and Platforms:674.2 ; Cost and Value Engineering; Industrial Economics:911 ; Management:912.2 ; Maintenance:913.5 ; Safety Engineering:914 ; Accidents and Accident Prevention:914.1 ; Statistical Methods:922 ; Materials Science:951
|ESI Research Field|
Web of Science
Cited Times [WOS]:1
|Document Type||Journal Article|
|Department||Department of Ocean Science and Engineering|
1.Department of Ocean Science and Engineering,Southern University of Science and Technology,Shenzhen,China
2.Offshore Engineering Institute,University of Strathclyde,Glasgow,UK,United Kingdom
|First Author Affilication||Department of Ocean Science and Engineering|
|Corresponding Author Affilication||Department of Ocean Science and Engineering|
|First Author's First Affilication||Department of Ocean Science and Engineering|
Zou，Guang,Kolios，Athanasios. Quantifying the value of negative inspection outcomes in fatigue maintenance planning: Cost reduction, risk mitigation and reliability growth[J]. RELIABILITY ENGINEERING & SYSTEM SAFETY,2022,226.
Zou，Guang,&Kolios，Athanasios.(2022).Quantifying the value of negative inspection outcomes in fatigue maintenance planning: Cost reduction, risk mitigation and reliability growth.RELIABILITY ENGINEERING & SYSTEM SAFETY,226.
Zou，Guang,et al."Quantifying the value of negative inspection outcomes in fatigue maintenance planning: Cost reduction, risk mitigation and reliability growth".RELIABILITY ENGINEERING & SYSTEM SAFETY 226(2022).
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