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Workshop of Canadian Network of Asset Managers-CNAM: 03 May 2009, Calgary, AB

Publicly 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., Joint International Conference on Computing and Decision Making in Civil and Building Engineering: 14 June 2006, Montréal, QC.

This paper presents a systematic decision-making approach for asset maintenance management that combines a stochastic Markovian performance prediction model with a multi-objective optimization method for determining the optimal allocation of funds and prioritization of assets for maintenance, repair and replacement. The maintenance optimization is formulated as a multi-stage and multi-objective optimization problem that seeks the simultaneous satisfaction of several conflicting objectives. The paper also examines the benefits of this approach as compared to the traditional maintenance prioritization and management practices., 9th International Conference on Computing in Civil and Building Engineering: 03 April 2002, Taipei, Taiwan

This paper provides an overview of the development of software-based decision support tools for service life prediction and rehabilitation of corrosion-damaged concrete bridge decks. The proposed tools consist of a reliability-based service life prediction model and a life cycle costing model that will assess the impact of alternative rehabilitation strategies on extending the life of bridge decks and their costs., Supersized Session on Asset Management, APWA International Public Work Congress: 08 September 2001, Philadelphia, PA