Decision models to prioritize maintenance and renewal alternatives

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ConferenceJoint International Conference on Computing and Decision Making in Civil and Building Engineering: 14 June 2006, Montréal, QC.
Pages25942603; # of pages: 10
Subjectinfrastructure, asset management, decision support systems (DSS), multi-criteria decision-making (MCDM), multi-objective optimization (MOO), analytic hierarchy process (AHP), fuzzy synthetic evaluation (FSE); Asset management
AbstractPublicly owned infrastructure forms a large portion of the existing infrastructure in Canada and elsewhere. Typically, asset managers must make decisions about maintenance and renewal alternatives based on sparse data about the current state of their infrastructure assets, the relative risk of failure of these assets, and the life cycle costs of proposed interventions. The infrastructure in any one organization can consist of a diverse set of assets ranging from bridges to buildings and from buried to overhead utilities. The optimal selection of proposed interventions across this broad spectrum of assets is also problematic, and currently it is performed in a subjective manner. This paper identifies a number of prioritization techniques that can be used to compare and rank repair and renewal projects. This research does not attempt to develop models to select the ?correct projects? or even to identify the best decision model or prioritization technique; rather, it attempts to illustrate by example the results of specific decision-making paradigms.
Publication date
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number45571
NPARC number20377440
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Record identifier08a91d93-380c-4727-b9fc-525013924379
Record created2012-07-24
Record modified2016-05-09
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