Risk-based optimization of pipe inspections in large underground networks with imprecise information

A. Mancuso, M. Compare, A. Salo, E. Zio and T. Laakso

Reliability Engineering and System Safety, 2016, vol. 152, issue C, 228-238

Abstract: In this paper, we present a novel risk-based methodology for optimizing the inspections of large underground infrastructure networks in the presence of incomplete information about the network features and parameters. The methodology employs Multi Attribute Value Theory to assess the risk of each pipe in the network, whereafter the optimal inspection campaign is built with Portfolio Decision Analysis (PDA). Specifically, Robust Portfolio Modeling (RPM) is employed to identify Pareto-optimal portfolios of pipe inspections. The proposed methodology is illustrated by reporting a real case study on the large-scale maintenance optimization of the sewerage network in Espoo, Finland.

Keywords: Risk-based inspection; Portfolio decision analysis; Imprecise information (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:152:y:2016:i:c:p:228-238

DOI: 10.1016/j.ress.2016.03.011

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