gmparg / FGCS-SCRMLinks
Predicting Supply Chain Risks Using Machine Learning: The Trade-off Between Performance and Interpretability - Supplementary Material
☆14Updated 6 years ago
Alternatives and similar repositories for FGCS-SCRM
Users that are interested in FGCS-SCRM are comparing it to the libraries listed below
Sorting:
- The aim of the project is leverage linear programming in supply chain optimization problem☆17Updated 4 years ago
- Algorithms Library for Supply Chain Inventory Optimization☆16Updated 6 years ago
- Robust Supply Chain Network with Monte Carlo Simulation☆34Updated 4 months 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
- Machine learning - Deep learning - Smart grid stability☆13Updated 4 years ago
- Classifing the iris dataset with fuzzy logic, genetic algorithm and particle swarm optimization.☆11Updated 5 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
- The objective of the Project is to predict ‘Full Load Electrical Power Output’ of a Base load operated combined cycle power plant using P…☆11Updated 6 years ago
- A diploma thesis investigating the options of controlling power demand of households to reduce peaks in total power consumption in smart …☆18Updated 5 years ago
- Supply Chain Optimization with Python☆96Updated 4 months 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
- Tools and programs for testing the Smart Grid anomaly detection algorithm☆11Updated 7 years ago
- Inventory Management for Retail — Deterministic Demand☆16Updated 4 months ago
- Config files for my GitHub profile.☆14Updated last year
- ☆19Updated 4 years ago
- Jupyter notebook implementing time series forecasting of energy consumption data with different methods.☆49Updated 2 years ago
- Forecasting and anomaly detection of gas consumption☆10Updated 7 years ago
- Master Thesis at the Norwegian School of Economics (NHH)☆16Updated 6 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
- ☆12Updated 3 years ago
- This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…☆28Updated 7 years ago
- Complementary Jupyter notebooks for load forecasting tutorial.☆12Updated 5 years ago
- Supply chain optimization and analytics in python. Examples and practice problems discussed in MIT Micromasters in Supply chain managemen…☆18Updated 6 years ago
- This project simulates the peer-to-peer transfer of electricity in a microgrid using Ethereum Contract.☆25Updated 2 years ago
- Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain☆19Updated 2 years ago
- Reinforcement learning agent based electricity market simulator☆19Updated 13 years ago
- In this the overall problem is solved using python and Gurobi.☆16Updated 7 years ago
- A blockchain-based local energy market (LEM) simulation.☆9Updated 3 years ago
- Sales forecasting for the supply chain industry.☆11Updated 4 years ago
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆41Updated 4 years ago