frenkowski/SCIMAI-Gym
A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.
This project helps operations managers and supply chain planners optimize inventory levels across their supply chain. By feeding in details about products, warehouses, costs, and demand variations, it uses AI to suggest optimal inventory policies. The output helps you make better decisions to maximize profit and reduce costs, simulating different scenarios to show potential outcomes.
104 stars. No commits in the last 6 months.
Use this if you manage complex supply chains and want to leverage advanced AI techniques to find the best inventory management strategies, especially for scenarios with fluctuating demand and multiple locations.
Not ideal if you need a simple, off-the-shelf inventory tracking system or are not comfortable with simulation-based analysis for decision-making.
Stars
104
Forks
22
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 16, 2024
Commits (30d)
0
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