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Title:

Simulation-Based Network Maintenance Planning and Scheduling

Accession Number:

01138794

Record Type:

Component

Availability:

Transportation Research Board Business Office

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Washington, DC 20001 United States
Order URL: http://trb.org/Main/Public/Blurbs/Mari...on_and_Port_Operations_2009_162244.aspx?

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Order URL: http://worldcat.org/isbn/9780309126168

Abstract:

Lock deterioration in a waterway network requires timely maintenance to maintain navigability and regular lockage service. Locks degrading over time have reduced capacities and increased service times. Because demand responds to service changes, the objective function maximizes the overall net benefits rather than the minimization of costs. To maximize the net benefits, it is important to schedule maintenance that preserves lock conditions above threshold values, provides minimum acceptable service, and reduces the risks of serious failures. With constrained budgets, network-level maintenance can be scheduled over a planning horizon. A waterway model that combines simulation and optimization was developed to allocate maintenance funds and to schedule maintenance tasks optimally. Numerical cases are evaluated by parallel processing. The promising demonstration of simulation-based optimization shows the applicability of the proposed methodology to network-level and component-level maintenance planning and scheduling.

Monograph Accession #:

01138795

Report/Paper Numbers:

09-1298

Language:

English

Authors:

Wang, Shiaau-Lir
Yang, Ning
Schonfeld, Paul M

Pagination:

pp 94-102

Publication Date:

2009

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2100
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309126168

Media Type:

Print

Features:

Figures (7) ; References (19) ; Tables (5)

Uncontrolled Terms:

Subject Areas:

Maintenance and Preservation; Marine Transportation; Terminals and Facilities; I60: Maintenance

Files:

TRIS, TRB, ATRI

Created Date:

Aug 27 2009 2:54PM

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