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Volume: 11 Issue 03 March 2025


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Artificial Intelligence In Crew Scheduling: Revolutionizing Predictions And Automation

  • Author(s):

    Geetika kapil

  • Keywords:

    Crew Scheduling, Artificial Intelligence (AI), Machine Learning (ML), Predictive Analytics, Optimization Algorithms, Dynamic Re-Scheduling, Operational Efficiency.

  • Abstract:

    The Integration Of Artificial Intelligence (AI) Into Crew Scheduling Represents A Paradigm Shift In The Transportation And Logistics Sectors. By Automating Complex Decision-making Processes And Delivering Real-time Insights, AI Is Transforming How Organiz

Other Details

  • Paper id:

    IJSARTV11I3102836

  • Published in:

    Volume: 11 Issue: 3 March 2025

  • Publication Date:

    2025-03-19


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