American Society of Civil Engineers


Budget Allocation for Steel Bridge Paint Maintenance


by Tarek M. Zayed, (Asst. Prof., Constr. Engrg. and Mgmt. Dept., Fac. of Engrg., Zagazig Univ., Zagazig, Egypt; presently, Asst. Prof., Civ. Engrg. and Constr. Dept., North Dakota State Univ., 120 J CME Bldg., Fargo, ND 58105)

Journal of Performance of Constructed Facilities, Vol. 18, No. 1, February 2004, pp. 36-46, (doi:  http://dx.doi.org/10.1061/(ASCE)0887-3828(2004)18:1(36))

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Document type: Journal Paper
Abstract: Government authorities are responsible for managing their available budget so that they gain maximum benefit. Therefore, they must make intelligent decisions as to which projects will be funded and the degree of funding. Dynamic programming (DP), integer programming (IP), and greedy heuristic (GH) approaches have been applied to optimize a two-year budget allocation for repainting steel bridges in Indiana. The optimal solution and the objective function values resulting from application of DP, IP, and GH are similar. The Indiana Department of Transportation (INDOT) divides Indiana into six districts. The results show that District 1 has the highest budget allocation percentage (28%). It has the lowest percent in the first year and the highest percent in the second year. District 2 has the lowest percentage (11%). A sensitivity analysis has been completed to show the potential alternative solutions that assist INDOT decision makers in solving their budget allocation problems.


ASCE Subject Headings:
Bridge maintenance
Budgets
Coating
Indiana
State government
Steel bridges