Vidal's library
Title: Agent based simulation architecture for evaluating operational policies in transshipping containers
Author: Lawrence Henesey, Paul Davidsson, and Jan A. Persson
Journal: Autonomous Agents and Multi-Agent Systems
Volume: 18
Number: 2
Pages: 220--238
Publisher: Kluwer Academic Publishers
Year: 2009
DOI: 10.1007/s10458-008-9044-y
Abstract: An agent based simulator for evaluating operational policies in the transshipment of containers in a container terminal is described. The simulation tool, called SimPort, is a decentralized approach to simulating managers and entities in a container terminal. Real data from two container terminals are used as input for evaluating eight transshipment policies. The policies concern the sequencing of ships, berth allocation, and stacking rule. They are evaluated with respect to a number of aspects, such as, turn-around time for ships and traveled distance of straddle carriers. The simulation results indicate that a good choice in yard stacking and berthing position policies can lead to faster ship turn-around times. For instance, in the terminal studied the Overall-Time-Shortening policy offers fast turn-around times when combined with a Shortest-Job-First sequencing of arriving ships

Cited by 14  -  Google Scholar

@article{henesey09b,
  author =	 { Lawrence Henesey and Paul Davidsson and Jan
                  A. Persson},
  title =	 {Agent based simulation architecture for evaluating
                  operational policies in transshipping containers},
  journal =	 {Autonomous Agents and Multi-Agent Systems},
  volume =	 18,
  number =	 2,
  year =	 2009,
  issn =	 {1387-2532},
  pages =	 {220--238},
  doi =		 {10.1007/s10458-008-9044-y},
  publisher =	 {Kluwer Academic Publishers},
  address =	 {Hingham, {MA}, {USA}},
  abstract =	 {An agent based simulator for evaluating operational
                  policies in the transshipment of containers in a
                  container terminal is described. The simulation
                  tool, called SimPort, is a decentralized approach to
                  simulating managers and entities in a container
                  terminal. Real data from two container terminals are
                  used as input for evaluating eight transshipment
                  policies. The policies concern the sequencing of
                  ships, berth allocation, and stacking rule. They are
                  evaluated with respect to a number of aspects, such
                  as, turn-around time for ships and traveled distance
                  of straddle carriers. The simulation results
                  indicate that a good choice in yard stacking and
                  berthing position policies can lead to faster ship
                  turn-around times. For instance, in the terminal
                  studied the Overall-Time-Shortening policy offers
                  fast turn-around times when combined with a
                  Shortest-Job-First sequencing of arriving ships},
  url = 	 {http://jmvidal.cse.sc.edu/library/henesey09b.pdf},
  cluster = 	 {11432735058186617405},
}
Last modified: Wed Mar 9 10:16:58 EST 2011