Goal-Programming Methodology for Integrating Pavement and Bridge Programs
Publication: Journal of Transportation Engineering
Volume 121, Issue 4
Abstract
A goal-programming methodology is presented for integrating the decisions involved in the development of annual pavement and bridge programs. The methodology involves four major steps: (1) identification of multiple objective functions with specific numerical goals; (2) assessment of the “importance” of each objective; (3) development of an assignment model that enables both project and network levels of integration; and (4) formulation of a goal program for optimal program development. Project-level integration is achieved by defining integrable highway units that constitute a bridge and adjacent pavement sections whose repair work can be implemented simultaneously. Network-level integration is achieved by defining objectives and constraints that link the decision variables corresponding to the entire population of pavement sections and bridges. The methodology has the advantage of capturing economies of scale and scope, and determines an optimal program that best achieves the goals. The results from the prototype implementation of the methodology are presented and important findings are discussed. It is concluded that the presented methodology accommodates both pavement and bridge perspectives fostering effective integrated annual-program development.
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References
1.
Cook, W. D.(1984). “Goal programming and financial planning models for highway rehabilitation.”J. Operations Res. Soc., 35(3), 217–223.
2.
Grivas, D. A., Ravirala, V., and Schultz, B. C. (1993). “State increment optimization methodology for network-level pavement management.”Transp. Res. Record No. 1397, Transportation Research Board, Washington, D.C., 25–33.
3.
Grivas, D. A., and Schultz, B. C.(1994). “Integration of pavement and bridge management systems: a case study.”Proc., Third North Am. Conf. on Managing Pavements, San Antonio, Tex., 1, 22–28.
4.
Hillier, F. A., and Lieberman, G. J. (1986). Introduction to operations research . Holden-Day, Inc., Oakland, Calif.
5.
LINGO—optimization modeling language: User's Manual. (1992). LINDO Systems, Inc., Chicago, Ill.
6.
Ravirala, V. (1992). “A network optimization methodology for pavement management,” MSc thesis, Rensselaer Polytechnic Institute, Troy, N.Y.
7.
Ravirala, V. (1994). “Multi-criteria optimization methodologies for highway management,” PhD thesis, Rensselaer Polytechnic Institute, Troy, N.Y.
8.
Ravirala, V., and Grivas, D. A. (1994). “A non-preemptive goal programming methodology for developing an annual pavement program.”Preprint 940388, Transportation Research Board, Washington, D.C.
9.
Schultz, B. C. (1991). “Project level decision analysis for pavement management,” MSc thesis, Rensselaer Polytechnic Institute, Troy, N.Y.
10.
Sinha, K. C., Muthusubramanyam, M., and Ravindran, A. (1981). “Optimization approach for allocation of funds for maintenance and preservation of the existing highway system.”Transp. Res. Record No. 826, Transportation Research Board, Washington, D.C.
11.
Tabucannon, T. M. (1988). Multiple criteria decision making in industry . Elsevier Science Publishers B. V. Amsterdam, The Netherlands.
12.
Zeleny, M. (1982). Multiple criteria decision making . McGraw-Hill Book Co., New York, N.Y.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 121 • Issue 4 • July 1995
Pages: 345 - 351
Copyright
Copyright © 1995 American Society of Civil Engineers.
History
Published online: Jul 1, 1995
Published in print: Jul 1995
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