Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.aei.2011.08.010
Title: MicroPort: A general simulation platform for seaport container terminals
Authors: Sun, Z. 
Lee, L.H. 
Chew, E.P. 
Tan, K.C. 
Keywords: Container terminal
Discrete event simulation
Multi-agent system
Port operations
Issue Date: 2012
Source: Sun, Z., Lee, L.H., Chew, E.P., Tan, K.C. (2012). MicroPort: A general simulation platform for seaport container terminals. Advanced Engineering Informatics 26 (1) : 80-89. ScholarBank@NUS Repository. https://doi.org/10.1016/j.aei.2011.08.010
Abstract: Seaport container terminals are essential nodes in sea cargo transportation networks. As such, the operational efficiency of container terminals in handling containers passing through them plays a critical role in a globalized world economy. Many models and algorithms have been developed to address various decision problems in container terminals to help improve operational efficiency. These decision support tools are usually used separately for specific purposes. However, the problems they are trying to tackle are often interrelated. Therefore, in this regard, an evaluation tool which can capture as many operational conditions as possible for different decision problems is necessary. This paper introduces a general simulation platform, named MicroPort, which aims to provide an integrated and flexible modeling system for evaluating the operational capability and efficiency of different designs of seaport container terminals. The software structure of MicroPort comprises three programming layers: (1) the Functions layer; (2) the Applications layer; and (3) the Extensions layer. Different layers are bound by Application Programming Interfaces (APIs). Basic functions built in the Functions layer support the Applications layer in which major operation processes can be modeled by an agent-based method. External modules and decision support tools in the Extensions layer then use APIs to adjust the system to produce suitable simulation models for specific purposes. © 2011 Elsevier Ltd. All rights reserved.
Source Title: Advanced Engineering Informatics
URI: http://scholarbank.nus.edu.sg/handle/10635/44201
ISSN: 14740346
DOI: 10.1016/j.aei.2011.08.010
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