Optimal Risk‐Based Inspection and Dredging Scheduling for Independent Dredge Reaches
Publication: Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 119, Issue 3
Abstract
Channel maintenance dredging is a significant investment, and techniques to improve the decision process are needed. A methodology for determining the least cost schedule for inspecting and dredging a single channel reach is presented in this paper. The methodology determines a control‐limit rule, which minimizes the expected cost of maintaining the reach. The approach accounts for the uncertainties in the shoaling rate and in the streamflow. All applicable costs are included in determining the best policy, including the unit dredging cost, mobilization and demobilization cost, and the expected failure cost. A fast‐solution algorithm using a policy‐iteration scheme allows a range of conditions and sensitivities to be analyzed. The model will be useful for comparison with present maintenance strategies and for examining the potential of advanced maintenance dredging. An application example is shown to demonstrate the model, its results, and costs, which may significantly affect the decision process.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Bellman, R. (1957). Dynamic programming. Princeton University Press, Princeton, N.J.
2.
Denes, T. (1990). “Lowering dredging costs with operations research techniques.” Bull. 71, Permanent Int. Assoc. of Navigation Congr., (Oct), 81–86.
3.
Grant, M. (1987). “Numerical model evaluation of advance maintenance.” Hydraulic engineering; Proc., 1987 ASCE Conf. on Hydr. Engrg., R. Ragan, ed., ASCE, New York, N.Y., 321–326.
4.
HEC‐6, scour and deposition in rivers and reservoirs; user's manual. (1977). U.S. Army Corps of Engineers, The Hydr. Engrg. Ctr., Davis, Calif.
5.
Hochstein, A., Guido, R., and Zabeloieff, I. (1983). “Optimization of channel maintenance expenses.” J. Wtwy., Port, Coast., and Oc. Engrg., ASCE, 109(3), 310–322.
6.
Howard, R. (1971). Dynamic probabilistic systems. Vol. II, John Wiley and Sons, Inc., New York, N.Y.
7.
Jardine, A. K. S. (1973). Maintenance, replacement, and reliability. John Wiley and Sons, Inc., New York, N.Y.
8.
Jorgenson, D., McCall, J., and Radner, R. (1967). Optimal replacement theory. Rand McNally and Co., Chicago, Ill.
9.
Lund, J. (1988). “Least‐cost scheduling of advance maintenance dredging.” Critical water issues and computer applications; Proc., ASCE Water Resour. Conf., M. Streuh, ed., ASCE, New York, N.Y., 363–366.
10.
Lund, J. (1990). “Scheduling maintenance dredging for a single reach with uncertainty.” J. Wtwy., Port, Coast., and Oc. Engrg., ASCE, 116(2), 211–231.
11.
Lund, J. R., Moser, D., Rubin, K., and Denes, T. “A decision support system for dredgine in the lower Mississippi.” Proc., 1991 ASCE Specialty Conference on Water Resources Planning and Management, J. Anderson, ed., ASCE, New York, N.Y., 314–318.
12.
McMahon, G. (1984). “Practicality of advance maintenance: savanah harbor.” Dredging and Dredged Material Disposal; Proc., ASCE Conf.—Dredging '84, R. Montgomery and J. Leach, eds., ASCE, New York, N.Y., 212–218.
13.
Ross, S. M. (1983). Introduction to stochastic dynamic programming. Academic Press, New York, N.Y.
14.
Tijms, H. C., and van der Duyn Schouten, F. A. (1984). “A markov decision algorithm for optimal inspection and revisions in a maintenance system with partial information.” Eur. J. Operational Res., 21, 245–253.
15.
Trawlee, M., and Boyd, J. (1988). Advance maintenance dredging in entrance channels: Evaluation of selected projects. Hydraulics laboratory technical rep. HL‐88‐16, U.S. Army Corps of Engineers Waterways Experiment Station, Vicksburg, Miss., 86.
Information & Authors
Information
Published In
Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 119 • Issue 3 • May 1993
Pages: 289 - 301
Copyright
Copyright © 1993 American Society of Civil Engineers.
History
Received: Nov 30, 1992
Published online: May 1, 1993
Published in print: May 1993
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.