A Dynamic and Collaborative Truck Appointment Management System in Container Terminals

Ahmed Azab, Ahmed Karam, Amr Eltawil

Abstract

Given the rising growth in containerized trade, Container Terminals (CTs) are facing truck congestion at the gate and yard. Truck congestion problems not only result in long queues of trucks at the terminal gates and yards but also leads to long turn times of trucks and environmentally harmful emissions. As a result, many terminals are seeking to set strategies and develop new approaches to reduce the congestions in various terminal areas. In this paper, we tackle the truck congestion problem with a new dynamic and collaborative truck appointment system. The collaboration provides shared decision making among the trucking companies and the CT management, while the dynamic features of the proposed system enable both stakeholders to cope with the dynamic nature of the truck scheduling problem. The new Dynamic Collaboration Truck Appointment System (DCTAS) is developed using an integrated simulation-optimization approach. The proposed approach integrates an MIP model with a discrete event simulation model. Results show that the proposed DCTAS could reduce the terminal congestions and flatten the workload peaks in the terminal.

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Paper Citation


in Harvard Style

Azab A., Karam A. and Eltawil A. (2017). A Dynamic and Collaborative Truck Appointment Management System in Container Terminals . In Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-218-9, pages 85-95. DOI: 10.5220/0006188100850095


in Bibtex Style

@conference{icores17,
author={Ahmed Azab and Ahmed Karam and Amr Eltawil},
title={A Dynamic and Collaborative Truck Appointment Management System in Container Terminals},
booktitle={Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2017},
pages={85-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006188100850095},
isbn={978-989-758-218-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - A Dynamic and Collaborative Truck Appointment Management System in Container Terminals
SN - 978-989-758-218-9
AU - Azab A.
AU - Karam A.
AU - Eltawil A.
PY - 2017
SP - 85
EP - 95
DO - 10.5220/0006188100850095