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 4 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
- Reinforcement Learning for Optimal inventory policy☆33Updated 3 years ago
- A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.☆98Updated last year
- 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
- 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
- Dynamic Pricing BwK Problem and Reinforcement Learning☆31Updated 6 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
- Supply Chain Optimization with Python☆100Updated 7 months ago
- InvAgent: A LLM-based Multi-Agent System for Inventory Management in Supply Chains☆27Updated last year
- Official codes for "Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management: Reducing Costs and Alleviating Bullwh…☆44Updated 2 years ago
- Robust Supply Chain Network with Monte Carlo Simulation☆34Updated 7 months ago
- Sales forecasting for the supply chain industry.☆11Updated 4 years ago
- Multivariate Time series Analysis Using LSTM & ARIMA☆37Updated 6 years ago
- A Python library to design & optimize Supply Chains☆24Updated 5 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆36Updated 6 years ago
- multi-echelon inventory optimization with SimPy, SciPy, sklearn, and RBFOpt☆87Updated 6 years ago
- ☆10Updated 7 years ago
- Vehicle Route Optimization with Reinforcement Learning (SARSA and Q_Learning) for Final Year Project☆12Updated 2 years ago
- A project on using mathematical programming to solve multi-modal transportation cost minimization in goods delivery and supply chain mana…☆287Updated 5 years ago
- The aim of the project is leverage linear programming in supply chain optimization problem☆17Updated 4 years ago
- Multi Agent Deep Reinforcement Learning for Local Flexibility Markets- Master Thesis☆13Updated 4 years ago
- Bandit algorithms for dynamic pricing of many products☆42Updated 5 years ago
- Python implementation to solve Vehicle Routing problem & Master Production Scheduling in Supply Chain Analytics & Design.☆70Updated 4 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
- Mixed Integer Linear Programming (MILP) Model for solving airport gate assignment problem.☆13Updated 2 years ago
- Capacitated vehicle routing with time windows (CVRPTW) optimization☆22Updated 2 years ago
- Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing☆70Updated 2 years ago
- Code for paper publication: Deep reinforcement learning-based solution for a multi-objective online order batching problem☆14Updated 3 years ago