This invention describes a computer system that helps schedule workers to service machines. It gathers information like when a machine needs service, how long it takes, its location, and what skills are needed. It also knows each worker's availability, skills, and location. The system then uses this information to create an optimized schedule, aiming to do things like maximize the number of services completed, use fewer workers, or minimize travel time, while making sure the right number of qualified workers are at each job and that workers start and end their day at the same location.
Why it matters: Computational power and AI/ML algorithms for optimization have advanced significantly since 2016, making complex real-time scheduling more efficient. Cloud infrastructure also simplifies deployment.
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