Adaptive Optimization of Infrastructure Maintenance and Inspection Decisions under Performance Model Uncertainty

We present an adaptive optimization model to find joint inspection and maintenance policies for infrastructure facilities under performance model uncertainty. The objective in the formulation is to minimize the total expected social cost of managing facilities over a finite planning horizon. Recent...

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Bibliographic Details
Published in:Journal of infrastructure systems 2003-12, Vol.9 (4), p.133-139
Main Authors: Guillaumot, Vincent M, Durango-Cohen, Pablo L, Madanat, Samer M
Format: Article
Language:English
Subjects:
Applied sciences
Buildings. Public works
Computation methods. Tables. Charts
Durability. Pathology. Repairing. Maintenance
Exact sciences and technology
Repair (reinforcement, strenthening)
Structural analysis. Stresses
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Summary:We present an adaptive optimization model to find joint inspection and maintenance policies for infrastructure facilities under performance model uncertainty. The objective in the formulation is to minimize the total expected social cost of managing facilities over a finite planning horizon. Recent optimization models account for the uncertainty in the selection of facility performance models through an adaptive control approach. In this paper, we relax the assumptions of fixed and error-free inspections. We present a parametric study to analyze the effect of initial performance model uncertainty and bias on the expected total cost of managing a facility. The main observation is that reducing the initial variance in model uncertainty may be more important than reducing the initial bias. Our study also shows that cost savings can result from relaxing the constraint of a fixed inspection schedule.
ISSN:1076-0342
1943-555X
DOI:10.1061/(ASCE)1076-0342(2003)9:4(133)