Conference Paper

An object-oriented programming approach for a GIS data-driven simulation model of traffic on an inland waterway.

DOI: 10.1109/WSC.2008.4736372 Conference: Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, WSC 2008, InterContinental Hotel, Miami, Florida, USA, December 7-10, 2008
Source: DBLP

ABSTRACT This research proposes the integration of a Geographic In- formation System (GIS) with the Arena Simulation soft- ware to model the transit of ocean-going vessels through the Panama Canal. The purpose of this integration is to initialize the simulation model with the vessels that are currently transiting the system and the ones ready to begin their transit taking into account waiting time in queue, booking status, navigation restrictions and their times through the locks. The interface process consists of gathering vessel loca- tion and attribute data, which is loaded in database format in the GIS where it is analyzed and displayed in a map con- taining the location of the locks, anchorage areas, tie-up stations and the transit route. Once analyzed, Arena reads the GIS data from the database and proceeds with the simulation considering navigation transit time, locks transit and lockage times.

0 Bookmarks
 · 
126 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: With the rapid increase in global trade and introduction of new security measures, maritime supply chain costs have increased and so has the need for business intelligence in improving maritime shipping operations. We develop a seaport operations model that simulates the decision making process associated with scheduling and processing of ships with the objective of evaluating the value of Geographical Information System (GIS) information. We consider two scenarios: (1) A traditional model where there is no GIS information on future ship arrivals; and (2) An information-rich model in which the arrival time of the next ship is known. We propose look-ahead based heuristics for the resulting optimization problems, determine the value of information (VOI), and tabulate how VOI varies as a function of the various operational parameters. Adding such operational intelligence to shipping operations improves the performance by as much as 60% (and by 15% on average) and reduces the costs without expanding the physical footprint of the seaport.
    Proceedings of the 2010 Winter Simulation Conference, WSC 2010, Baltimore, Maryland, USA, 5-8 December 2010; 01/2010
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: We consider the supply chain for containerized items that arrive at a port in the U.S. whose final destination is also in the U.S. Ports are important entities in global supply chains. As such, when a port cannot operate because of a crisis, such as a natural or man-made disaster, it is critical that freight flow is not disrupted. We develop a simulation model that can be used to make effective re-routing decisions so that the time for freight to reach its final destination is not significantly increased in a crisis. The simulation model will evaluate and report the performance of the supply chain under different re-routing strategies. The output can be analyzed to find the best re-routing strategy that minimizes congestion and delays during crisis conditions. The model can also be used by various decision makers such as port managers, ocean carriers, or transportation companies for strategic decision making.
    Simulation Conference (WSC), Proceedings of the 2009 Winter; 01/2010

Full-text (2 Sources)

View
9 Downloads
Available from
May 31, 2014