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

Research output: Contribution to journalArticleScientificpeer-review


Research units

  • Aramis Srl
  • Inria Université Paris-Saclay
  • Polytechnic University of Milan


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.


Original languageEnglish
Pages (from-to)228-238
Number of pages11
JournalReliability Engineering and System Safety
Publication statusPublished - 1 Aug 2016
MoE publication typeA1 Journal article-refereed

    Research areas

  • Imprecise information, Portfolio decision analysis, Risk-based inspection

ID: 3053105