Optimal infrastructure maintenance scheduling problem under budget uncertainty.

Gao, Lu; Zhang, Zhanmin; University of Texas at Austin. Center for Transportation Research

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Optimal infrastructure maintenance scheduling problem under budget uncertainty.

2010-05-01
By Gao, Lu ; Zhang, Zhanmin

[PDF-521.42 KB]

English

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Details:

Creators:

Gao, Lu ; Zhang, Zhanmin

Gao, Lu ; Zhang, Zhanmin Less -
Corporate Creators:

University of Texas at Austin. Center for Transportation Research
Corporate Contributors:

Texas Transportation Institute
Subject/TRT Terms:

[+]

Budgeting Mathematical Models Pavement Maintenance Pavements--Maintenance And Repair--Management--Mathematical Models Statistical Analysis Stochastic Analysis Stochastic Processes
Publication/ Report Number:

SWUTC/11/161028-1
Resource Type:

Tech Report
Geographical Coverage:

Texas
Corporate Publisher:

Southwest Region University Transportation Center (U.S.)
Abstract:

This research addresses a general class of infrastructure asset management problems. Infrastructure

agencies usually face budget uncertainties that will eventually lead to suboptimal planning if

maintenance decisions are made without taking the uncertainty into consideration. It is important for

decision makers to adopt maintenance scheduling policies that take future budget uncertainty into

consideration. The author proposes a multistage, stochastic linear programming model to address this

problem. The author also develops solution procedures using the augmented Lagrangian

decomposition algorithm and scenario reduction method. A case study exploring the computational

characteristics of the proposed methods is conducted and the benefit of using the stochastic

programming approach is discussed.
Format:

PDF
Funding:

10727
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:2923c630594a8408079fc31421ade00aedbc97eebd38f76e73efb1f2f0996458
Download URL:

https://rosap.ntl.bts.gov/view/dot/23105/dot_23105_DS1.pdf
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Optimal infrastructure maintenance scheduling problem under budget uncertainty.

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