Int. J. Simul. Multidisci. Des. Optim.
Volume 11, 2020
|Number of page(s)
|04 August 2020
Agent-based modelling and simulation for ship unloading processes: determining the number of trucks and container cranes
Institut Teknologi Nasional Bandung, Department of Industrial Engineering, Bandung, Indonesia
2 Telkom University, Department of Industrial Engineering, Bandung, Indonesia
3 Bandung Institute of Technology, School of Business and Management, Bandung, Indonesia
* e-mail: firstname.lastname@example.org
Accepted: 28 June 2020
Loading and unloading activities generate nearly fifty per cent of the total cost in port. The loading and unloading process of the container at the port is considered as a complex process since it involves several interrelated components, such as ships, cranes, and trucks. The uncertainty of these component activities might impact the loading and unloading time and cost. Agent-based modelling and simulation (ABMS) approach is a method for analyzing and modelling a complex system. This study aims to simulate the unloading process to determine a strategy to reduces unloading process time in the largest port in Indonesian using ABMS approach. The results show that the agent-based simulation approach is feasible to be applied in port activities. This approach can assist decision-makers in predicting the number of facilities that must be used to minimize processing time.
Key words: Agent-based / complex system / logistics / simulation / unloading processes
© F. Ramadhan et al., published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.