Minimizing quay crane downtime in container terminals using genetic algorithms with a case study of Tangier MED Port.

ABSTRACT: The problem of quay crane downtime continues to challenge container terminals across the globe, particularly in fully and partially automated ones like Tangier MED Port in Morocco. The persistent breakdowns of the cranes increase vessel turnaround times, delay completion times, add to the cost burden, diminish terminal productivity. This study formulates a genetic algorithm (GA) model aimed at reducing quay crane downtime due to planned maintenance, unplanned failures, equipment idle time coordination, and job scheduling performed within a single optimization framework. Unlike previous methods that address individual aspects in isolation, our approach models all crane operations to optimally reduce idle time and disruptions. The simulation results substantiate the claims that the proposed

SUBMITTER: Garmouch H 

PROVIDER: S-EPMC12749770 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature