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DOI: 10.14569/IJACSA.2023.0140768
PDF

Optimizing Port Operations: Synchronization, Collision Avoidance, and Efficient Loading and Unloading Processes

Author 1: Sakhi Fatima Ezzahra
Author 2: Bellat Abdelouahad
Author 3: Mansouri Khalifa
Author 4: Qbadou Mohammed

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 7, 2023.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: This study focuses on optimizing the loading and unloading processes in a port environment by employing synchronization techniques and collision avoidance mechanisms. The objective function of this research aims to minimize the time required for these tasks while ensuring efficient coordination and safety. The obtained results are compared with previous studies, demonstrating significant improvements in overall performance. The synchronized handling systems, including gantries and cranes, along with speed control measures, facilitate streamlined operations, reduced delays, and enhanced productivity. By integrating these strategies, the port achieves better results in terms of task completion time compared to previous methodologies, thereby validating the effectiveness of the proposed approach.

Keywords: Optimizing; synchronization; collision; efficient; time

Sakhi Fatima Ezzahra, Bellat Abdelouahad, Mansouri Khalifa and Qbadou Mohammed, “Optimizing Port Operations: Synchronization, Collision Avoidance, and Efficient Loading and Unloading Processes” International Journal of Advanced Computer Science and Applications(IJACSA), 14(7), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140768

@article{Ezzahra2023,
title = {Optimizing Port Operations: Synchronization, Collision Avoidance, and Efficient Loading and Unloading Processes},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140768},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140768},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {7},
author = {Sakhi Fatima Ezzahra and Bellat Abdelouahad and Mansouri Khalifa and Qbadou Mohammed}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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