adeecc / SCM-RLLinks
Application of Deep Reinforcement Learning to Supply Chain management. Reference: https://blog.griddynamics.com/deep-reinforcement-learning-for-supply-chain-and-price-optimization/#fn9
☆11Updated 3 years ago
Alternatives and similar repositories for SCM-RL
Users that are interested in SCM-RL are comparing it to the libraries listed below
Sorting:
- Reinforcement Learning for Supply Chain Optimization☆14Updated 5 years ago
- Algorithms Library for Supply Chain Inventory Optimization☆16Updated 6 years ago
- This work explains how OR and ML in tandem can help us making a cost efficient decisions. I have used a Supply Chain Network Design use c…☆24Updated 4 years ago
- Reinforcement Learning for Optimal inventory policy☆29Updated 3 years ago
- Dynamic Pricing BwK Problem and Reinforcement Learning☆31Updated 6 years ago
- A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.☆91Updated last year
- Sales forecasting for the supply chain industry.☆11Updated 4 years ago
- The goal of the project was to design the logistic model of autonomous robots that would supply garment parts from the Cutting Dept to th…☆26Updated 3 years ago
- A framework for building and training a reinforcement learning agent to run a mini supply chain☆15Updated 2 years ago
- An analysis, with a focus on demand forecasting, of transactional data associated with over 2.5 million customers and 31,868 SKUs over th…☆15Updated 4 years ago
- ☆10Updated 3 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆35Updated 5 years ago
- Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"☆20Updated 3 years ago
- Implement inventory management rules based on a periodic review policy☆13Updated 4 months ago
- Supply chain management☆17Updated 3 years ago
- Integration of DNN framework with Stochastic Multi-echelon Inventory Optimization (SMEIO)☆7Updated 4 years ago
- Robust Supply Chain Network with Monte Carlo Simulation☆34Updated 4 months ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆41Updated 4 years ago
- inventory simulation modules for single-echelon supply chain☆13Updated 6 years ago
- multi-echelon inventory optimization with SimPy, SciPy, sklearn, and RBFOpt☆86Updated 6 years ago
- A Python library to design & optimize Supply Chains☆23Updated 5 years ago
- Official codes for "Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management: Reducing Costs and Alleviating Bullwh…☆40Updated 2 years ago
- Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…☆16Updated last year
- MPhil thesis code for link prediction in supply chains☆19Updated 2 years ago
- A project for solving demand forecast of a medium retailer using a simple Deep Learning model☆16Updated last year
- ☆25Updated 5 years ago
- A low capacity and high capacity plant across 5 countries are considered and a linear programming model is built to determine the total l…☆19Updated 3 years ago
- InvAgent: A LLM-based Multi-Agent System for Inventory Management in Supply Chains☆22Updated 11 months ago
- Supply Chain Optimization with Python☆96Updated 4 months ago
- Thesis on Single-Agent Dynamic Pricing with Reinforcement Learning☆22Updated 6 years ago