Date of Award
Spring 2014
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Engineering Management & Systems Engineering
Program/Concentration
Engineering Management
Committee Director
Ghaith Rabadi
Committee Member
C. Ariel Pinto
Committee Member
Mamadou Seck
Call Number for Print
Special Collections LD4331.E555 K675 2014
Abstract
World trade has been increasing dramatically in the past two decades and, as a result, container exchange has grown significantly. Consequently and to meet this increase, several container terminals are expanding and many new ones are being established. A port with one or more container terminals is considered a complex system in which many entities interact to accomplish seamless handling of containers inbound and outbound. The level of complexity is drastically heightened for container terminals containing multimodal transportation systems as they typically involve ships, rail, and trucks arriving to one or more terminals delivering containers of different sizes to several types resources including quay cranes, rubber tyred gantry cranes, straddle carriers, and more. Simulation can be a useful tool to assist in predicting the behavior of the system and its performance under unforeseen circumstances as well as to study possible modifications to the components of the port system. In this thesis, a generic discrete-event simulation model is constructed to simulate port operations with different associated resources and stations including loading/unloading, customs station, container yard and more. The analysis will entail studying various scenarios motivated by changes in different parameters to measure their influence on relevant outcomes including throughput, resource utilization and waiting times.
Rights
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DOI
10.25777/74fc-8m46
Recommended Citation
Kotachi, Mariam A..
"Simulation Modeling and Analysis of Customs-Regulated Container Terminal Operations with Multimodal Transportation"
(2014). Master of Science (MS), Thesis, Engineering Management & Systems Engineering, Old Dominion University, DOI: 10.25777/74fc-8m46
https://digitalcommons.odu.edu/emse_etds/222
Included in
Computational Engineering Commons, Computer Sciences Commons, Operations and Supply Chain Management Commons, Systems Science Commons