[HTML][HTML] Smart technologies and port operations: Optimal adoption strategy with network externality consideration

K Li, A Gharehgozli, JY Lee - Computers & Industrial Engineering, 2023 - Elsevier
Smart technologies that streamline information among stakeholders can enhance
operational efficiency at sea ports. The benefit of network externality from smart technologies …

[HTML][HTML] Deep learning-based ship speed prediction for intelligent maritime traffic management

S El Mekkaoui, L Benabbou, S Caron… - Journal of marine science …, 2023 - mdpi.com
Improving maritime operations planning and scheduling can play an important role in
enhancing the sector's performance and competitiveness. In this context, accurate ship …

Enhancing container vessel arrival time prediction through past voyage route modeling: A Case Study of Busan New Port

JH Yoon, DH Kim, SW Yun, HJ Kim, S Kim - Journal of Marine Science …, 2023 - mdpi.com
Container terminals are at the center of global logistics, and are highly dependent on the
schedule of vessels arriving. Conventional ETA records from ships, utilized for terminal berth …

Evaluation and prediction of punctuality of vessel arrival at port: a case study of Hong Kong

Z Chu, R Yan, S Wang - Maritime Policy & Management, 2023 - Taylor & Francis
The punctuality of vessel arrival at port is a crucial issue in contemporary port operations.
Uncertainties in vessel arrival can lead to port handling inefficiency and result in economic …

A bibliometric analysis: mapping the evolution of maritime supply chain research trends across academic tides

K Mohiuddin, X Wang… - … and Supply Chain …, 2024 - journal.oscm-forum.org
The maritime industry has been vital in facilitating and enabling economic development and
global trade. Although the industry and its supply chain are not new concepts, they have …

Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning

X Zhang, X Fu, Z Xiao, H Xu, X Wei, J Koh… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper investigates the prediction of vessels' arrival time to the pilotage area using multi-
data fusion and deep learning approaches. Firstly, the vessel arrival contour is extracted …

Predicting vessel arrival times on inland waterways: A tree-based stacking approach

J Lei, Z Chu, Y Wu, X Liu, M Luo, W He, C Liu - Ocean Engineering, 2024 - Elsevier
Estimating vessel arrival times is crucial for maintaining efficient transportation operations
and ensuring the stability of the entire supply chain in maritime transportation. Vessel arrival …

Deep Learning Approaches for Vessel Estimated Time of Arrival Prediction: A Case Study on the Saint Lawrence River

I Bourzak, S El Mekkaoui, A Berrado… - 2023 14th …, 2023 - ieeexplore.ieee.org
Improving the planning and management of maritime operations is a key element in driving
the maritime supply chain. Although technological innovations facilitate the management of …

Deep learning based vessel arrivals monitoring via autoregressive statistical control charts

S El Mekkaoui, G Boukachab, L Benabbou… - WMU Journal of …, 2024 - Springer
This paper introduces a methodology for monitoring the vessel arrival process, a critical
factor in enhancing maritime operational efficiency. This approach uses deep learning …

Enhancing Prediction Accuracy of Vessel Arrival Times Using Machine Learning.

N Evmides, S Aslam, TT Ramez… - Journal of Marine …, 2024 - search.ebscohost.com
Marine transportation accounts for approximately 90% of the total trade managed in
international logistics and plays a vital role in many companies' supply chains. However, en …