International Journal of Marine Engineering Innovation and Research
Vol 2, No 2 (2018)

Evaluation of Container Terminal Arrangement By Computer Simulation

Takeshi Shinoda (Department of Marine Systems Engineering, Kyushu University, Fukuoka 819-0395, Japan)
Hideyo Inutsuka (Graduate School of Engineering, Department of Urban and Environmental Engineering, Kyushu University, Fukuoka 819-0395, Japan)
Putu Hangga (Department of Marine Systems Engineering, Kyushu University, Fukuoka 819-0395, Japan)
Tiago Novaes Mathias (Graduate School of Engineering, Department of Urban and Environmental Engineering, Kyushu University, Fukuoka 819-0395, Japan)



Article Info

Publish Date
25 Mar 2018

Abstract

With growing ship size and demand for effective handling of container cargoes in recent years, automation has inevitably took place in almost all aspect of modern terminal operation. So far, automation has been led by the large terminals in Europe and North America and soon it will become a pressure for terminals in developing countries to go for automation. The drawbacks heavily rely on the initial investment cost and question arises with regard to effectiveness of automation for medium and small size container terminals. A visual environment that simulates container terminal operation is developed to facilitate investigation advantage and disadvantages of automated container terminal compared to conventional container terminal. A discrete event model for container handling process and agent-based model for path mover flow system is built and validated based on operating terminal in real world and visually simulated to serve the objective. The result of the computer simulation is an evaluation of performance metric for both terminal concepts under similar arrangements. In addition, visual simulation was able to notify the area where advantage and disadvantage of both concepts will take place during operation.

Copyrights © 2018






Journal Info

Abbrev

ijmeir

Publisher

Subject

Automotive Engineering Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

Description

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