Pabloo22/gnn_scheduler
Solving the Job-Shop Scheduling Problem (JSSP) with Graph Neural Networks (GNNs).
This project helps operations managers and production planners optimize complex manufacturing or service workflows. You provide details about specific jobs, their required operations, processing times, and machine availability. The output is a highly efficient schedule that minimizes the overall completion time for all tasks, ensuring smoother operations and faster delivery.
No commits in the last 6 months.
Use this if you need to create optimal schedules for a series of jobs that must be processed in a specific order on a limited set of machines.
Not ideal if your scheduling needs are simple, involve only a few tasks, or don't require minimizing overall completion time with complex dependencies.
Stars
28
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 19, 2025
Commits (30d)
0
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