Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97611
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Title: Synchronized scheduling model for container terminals using simulated double-cycling strategy
Authors: Ahmed, E
ElAbbasy, MS
Zayed, T 
Alfalah, G
Alkass, S
Issue Date: Apr-2021
Source: Computers and industrial engineering, Apr. 2021, v. 154, 107118
Abstract: Global ocean-based trade has been increasing significantly. To keep pace with this growth, a new generation of large vessels has been introduced to maximize shipping productivity. The primary goal of container terminals is to accelerate vessel turnaround time through effective coordination of the main handling components. This study proposes an efficient strategy to handle containers by employing double-cycling to minimize the number of empty travel trips of yard trucks. To verify the efficiency of the proposed strategy, two simulation models were developed and implemented based on a real-life case study considering uncertainties in the work task duration. The integrated single-cycling model predicted productivity with an accuracy rate of over 97%, compared with the actual site productivity. When compared to the standard single-cycling model, the double-cycling model enhanced productivity and reduced vessel turnaround time by up to 62% and 38%, respectively, and achieved cost savings of up to 27%.
Keywords: Container Terminal Handling
Double-Cycling
Integrated Operations
Productivity
Simulation
Publisher: Pergamon Press
Journal: Computers and industrial engineering 
ISSN: 0360-8352
EISSN: 1879-0550
DOI: 10.1016/j.cie.2021.107118
Rights: © 2021 Elsevier Ltd. All rights reserved.
© 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
The following publication Ahmed, E., El-Abbasy, M. S., Zayed, T., Alfalah, G., & Alkass, S. (2021). Synchronized scheduling model for container terminals using simulated double-cycling strategy. Computers & Industrial Engineering, 154, 107118 is available at https://dx.doi.org/10.1016/j.cie.2021.107118.
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