Budget Allocation for Steel Bridge Paint Maintenance
Publication: Journal of Performance of Constructed Facilities
Volume 18, Issue 1
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.
Get full access to this article
View all available purchase options and get full access to this article.
References
Bellman, R. E. (1957). Dynamic programming, Princeton University Press, Princeton, N.J.
Bellman, R. E., and Dreyfus, S. E. (1962). Applied dynamic programming, Princeton University Press, Princeton, N.J.
Brown, D. B., Bulfin, R., and Deason, W. (1990). “Allocating highway safety funds.” Transportation Research Record 1270, Transportation Research Board, Washington, D.C., 85–88.
Feighan, K. J., Shahin, M. Y., and Sinha, K. C. (1987). “A dynamic programming approach to optimization for pavement management systems.” Proc., 2nd North American Conf. on Managing Pavements, Toronto.
Morin, L. T. (1999). “Dynamic programming.” IE633 Class Notes, Industrial Engineering Dept., Purdue University, West Lafayette, Ind.
Smith, D. K. (1991). Dynamic programming: A practical introduction, Ellis Horwood, Chichester, U.K.
Taha, H. A. (1997). Operations research: An introduction, 6th Ed., Prentice-Hall, Englewood Cliffs, N.J.
Tam, C. K., and Stiemer, S. F.(1996). “Bridge corrosion cost model implementation and coating maintenance model using dynamic programming.” J. Perform. Constr. Facil., 10(2), 57–66.
Winston, W. L. (1994). Operations research: applications and algorithms, 3rd Ed., Wadsworth, Belmont, Calif.
Yi, J., and Sinha, K. C. (1990). “The development of optimal strategies for maintenance, rehabilitation, and replacement of highway bridges.” Final Rep., Vol. 6: Performance Analysis and Optimization, Joint Highway Research Project No. C-36-731, Purdue Univ., West Lafayette, Ind.
Zayed, T. M., Chang, L. M., and Fricker, J. D.(2002a). “Statewide performance function for steel bridge protection systems.” J. Perform. Constr. Facil., 16(2), 46–54.
Zayed, T. M., Fricker, J. D., and Chang, L. M.(2002b). “Life-cycle cost-based maintenance plan for steel bridge protection systems.” J. Perform. Constr. Facil., 16(2), 55–62.
Information & Authors
Information
Published In
Journal of Performance of Constructed Facilities
Volume 18 • Issue 1 • February 2004
Pages: 36 - 46
Copyright
Copyright © 2004 American Society of Civil Engineers.
History
Received: May 20, 2002
Accepted: Sep 13, 2002
Published online: Jan 16, 2004
Published in print: Feb 2004
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.