PatrickSinger99/ReinforcementLearningInventoryManagement
Repository for my bachelor thesis on inventory management in a logistics distribution network with reinforcement learning.
This project helps logistics and supply chain professionals by simulating and optimizing inventory management in distribution networks. It takes in operational parameters of a logistics network and outputs optimized inventory policies, showing how different reinforcement learning agents can improve stock levels. This is designed for supply chain analysts, logistics managers, and operations researchers interested in advanced inventory strategies.
No commits in the last 6 months.
Use this if you are a researcher or practitioner looking to apply reinforcement learning to complex logistics distribution network simulations to find optimal inventory management policies.
Not ideal if you need a plug-and-play solution for immediate real-world deployment or if you are unfamiliar with Python and reinforcement learning concepts.
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Jupyter Notebook
License
MIT
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Last pushed
Feb 24, 2023
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