@inproceedings{e31e2395832c41b598cd5e7eaad898d3,
title = "An Integrated k-Means Clustering and Bi-Objective Optimization Approach for External Trucks Scheduling in Container Terminals",
abstract = "This paper introduces an approach for optimal scheduling of external trucks in container terminals. The proposed approach integrates the k-means clustering algorithm with a bi-objective optimization model. The k-means clustering algorithm matches the export and import containers into tuples, reducing the number of empty trips. The optimization model objectives are: minimizing the deviation from the trucking companies' preferred arrival times and minimizing the total truck turnaround times, while considering several essential aspects, such as yard resources capacity, congestion level, and trucking companies' preferences. The results depict that the proposed approach reduces the total number of required trips by 31.58% and provides the decision-makers with a tradeoff between the total truck turnaround time and the deviation from the trucking companies' preferred pickup time window.",
keywords = "Truck appointment systems, cluster analysis, double moves, empty truck trip minimization, optimization",
author = "Ahmed Talaat and Junichi Iijima and Mohamed Gheith and Amr Eltawil",
note = "Publisher Copyright: {\textcopyright} 2023 The authors and IOS Press.; 10th International Conference on Industrial Engineering and Applications, ICIEA 2023 ; Conference date: 04-04-2023 Through 06-04-2023",
year = "2023",
month = jul,
day = "27",
doi = "10.3233/ATDE230109",
language = "English",
series = "Advances in Transdisciplinary Engineering",
publisher = "IOS Press BV",
pages = "805--814",
editor = "Loon-Ching Tang",
booktitle = "Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014",
}