samihanazrul / Supply-Chain-Optimization-with-Machine-Learning
Revolutionize supply chain of your company with the project—predict demand, optimize inventory, and streamline routes using data analysis and machine learning. Stay ahead, reduce costs, and embrace sustainable, efficient logistics. The future of supply chain management starts here.
☆13Updated 6 months ago
Alternatives and similar repositories for Supply-Chain-Optimization-with-Machine-Learning:
Users that are interested in Supply-Chain-Optimization-with-Machine-Learning are comparing it to the libraries listed below
- 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…☆23Updated 4 years ago
- Federated Learning for 5G Base Station Traffic Forecasting☆52Updated last year
- Variable Length Genetic Algorithm for hyperparameter optimization of a CNN☆11Updated 4 years ago
- Development of a machine learning application for IoT platform to predict electric energy consumption in smart building environment in re…☆49Updated 4 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆46Updated 4 years ago
- Implementing Multi-level attention netowrk for spatio-temporal prediction☆16Updated 5 years ago
- Supply Chain Optimization with Python☆90Updated last month
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆57Updated 2 years ago
- Application of Deep Reinforcement Learning to Supply Chain management. Reference: https://blog.griddynamics.com/deep-reinforcement-learni…☆10Updated 3 years ago
- Multivariate Time series Analysis Using LSTM & ARIMA☆37Updated 5 years ago
- Sudan Local Chapter - Analyzing Healthcare Accessibility in Sudan☆13Updated 2 weeks ago
- An implementation of the CNN-LSTM model for Classifying Time Series Human Activities☆23Updated 4 years ago
- Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN …☆67Updated last year
- The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.☆36Updated 3 years ago
- An Architecture Combining CNN and SVM for Image Classification☆17Updated 6 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…☆27Updated 7 years ago
- ☆7Updated last year
- Time Series Analysis and Forecasting in Python☆152Updated 8 months ago
- Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.☆30Updated 4 years ago
- Clustering using tslearn for Time Series Data.☆48Updated 2 years ago
- Thanks to the proliferation of smart devices, such as smartphones and wearables, which are equipped with computation, communication and s…☆43Updated 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
- Source code of IEEE JSAC☆35Updated 5 years ago
- Jithsaavvy / Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-projectThis research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and pro…☆28Updated 2 years ago
- ☆15Updated 3 years ago
- A model is designed with the help of lstm neural networking for water quality pattern analysis and prediction along with the proper eva…☆26Updated 5 years ago
- This repository implements the model in MobiHoc'18: "Long-term mobile traffic forecasting using deep spatio-temporal neural networks"☆27Updated 5 years ago
- We have used Support Vector Regression and Random Forest Regression to predict traffic or congestion.☆20Updated 4 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆30Updated 4 years ago
- Supply chain optimization and analytics in python. Examples and practice problems discussed in MIT Micromasters in Supply chain managemen…☆18Updated 5 years ago