ingambe/End2End-Job-Shop-Scheduling-CP
An end to end reinforcement learning approach with a reinforcement learning environment modeled as a CP model
This project helps operations managers and production planners optimize complex manufacturing schedules. You provide details about jobs, their required operations, and the machines available, and it generates an optimized sequence of tasks to complete all jobs in the shortest possible time. It's designed for anyone needing to efficiently plan and manage resources in a job shop environment.
No commits in the last 6 months.
Use this if you need to create highly efficient schedules for manufacturing or production lines where multiple jobs compete for limited machine resources.
Not ideal if you're looking for a simple drag-and-drop scheduling interface or if your scheduling problems are straightforward and can be solved with basic heuristics.
Stars
34
Forks
6
Language
Python
License
MIT
Category
Last pushed
Nov 05, 2023
Commits (30d)
0
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