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Robust Maintenance Policies in Asset Management

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  • Kuhn, Kenneth D.
  • Madanat, Samer M.

Abstract

Asset management systems help public works agencies decide when and how to maintain and rehabilitate infrastructure facilities in a cost-effective manner. Many sources of error, some difficult to quantify, can limit the ability of asset management systems to accurately predict how built systems will deteriorate. This paper introduces the use of robust optimization to deal with epistemic uncertainty. The Hurwicz criterion is employed to ensure management policies are never ‘too conservative.’ An efficient solution algorithm is developed to solve robust counterparts of the asset management problem. A case study demonstrates how the consideration of uncertainty alters optimal management policies and shows how the proposed approach may reduce maintenance and rehabilitation (M&R) expenditures.

Suggested Citation

  • Kuhn, Kenneth D. & Madanat, Samer M., 2005. "Robust Maintenance Policies in Asset Management," University of California Transportation Center, Working Papers qt00z6g3pr, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt00z6g3pr
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    1. Humplick, Frannie, 1992. "Highway pavement distress evaluation: Modeling measurement error," Transportation Research Part B: Methodological, Elsevier, vol. 26(2), pages 135-154, April.
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    Cited by:

    1. Kuhn, Kenneth D. & Madanat, Samer M., 2005. "Model Uncertainty and the Management of a System of Infrastructure Facilities," University of California Transportation Center, Working Papers qt6c84b9b4, University of California Transportation Center.

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