Robust Scheduling of Truck Arrivals at Marine Container Terminals
The use of a truck appointment system is gaining momentum in the marine container industry. It is used to regulate the number of trucks that can enter the terminal. Terminals employing appointment systems put a cap on the number of trucks that can enter a zone in the yard per time window. Limiting truck arrivals can be beneficial to some extent; however, if the caps are not set properly, it could be detrimental to both the terminal and the truckers. This paper examines the effect of limiting truck arrivals on truck turn time and crane utilization. In addition, it proposes a methodology to assist terminal operators with determining the optimal number of trucks to accept for the appointment system to be effective. The proposed methodology, which is a combination of mathematical formulation and simulation, seeks a solution that is beneficial for both the terminal operator and the trucker. Furthermore, the solution is robust to account for truckers with appointments showing up late or not showing up at all.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/8674831
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Authors:
- Huynh, Nathan
- Walton, C Michael
- Publication Date: 2008-8
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 347-353
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Serial:
- Journal of Transportation Engineering
- Volume: 134
- Issue Number: 8
- Publisher: American Society of Civil Engineers
- ISSN: 0733-947X
- Serial URL: https://ascelibrary.org/journal/jtepbs
Subject/Index Terms
- TRT Terms: Container terminals; Freight service; Freight transportation; Mathematical methods; Methodology; Optimization; Scheduling; Simulation; Trucks
- Subject Areas: Freight Transportation; Highways; Marine Transportation; Motor Carriers; Planning and Forecasting; Society; Terminals and Facilities; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01108536
- Record Type: Publication
- Files: TRIS
- Created Date: Aug 20 2008 9:06AM