PavelEft / USAID-Supply-Chain-OptimizationLinks
A machine learning model for predicting delayed deliveries in the supply chain of USAID, and forecasting the delay time of a potential delayed shipment.
☆10Updated 6 years ago
Alternatives and similar repositories for USAID-Supply-Chain-Optimization
Users that are interested in USAID-Supply-Chain-Optimization are comparing it to the libraries listed below
Sorting:
- 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
- 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
- The aim of the project is leverage linear programming in supply chain optimization problem☆17Updated 4 years ago
- Supply Chain Optimization with Python☆98Updated 6 months ago
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆29Updated 4 years ago
- Sales forecasting for the supply chain industry.☆11Updated 4 years ago
- Algorithms Library for Supply Chain Inventory Optimization☆16Updated 6 years ago
- Predicting Global Supply Chain Outcomes for Essential HIV Medicines using Machine Learning Techniques☆42Updated 5 years ago
- Reinforcement Learning for Supply Chain Optimization☆14Updated 5 years ago
- A Python library to design & optimize Supply Chains☆23Updated 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
- Application of Deep Reinforcement Learning to Supply Chain management. Reference: https://blog.griddynamics.com/deep-reinforcement-learni…☆11Updated 4 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆47Updated 4 years ago
- Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain☆19Updated 2 years ago
- Company has a fleet of devices transmitting daily aggregated telemetry attributes.Predictive maintenance techniques are designed to help …☆15Updated 4 years ago
- Predicting Global Supply Chain Outcomes for Essential HIV Medicines using Machine Learning Techniques. Capstone original project for Udac…☆20Updated 5 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…☆29Updated 7 years ago
- Supply chain optimization and analytics in python. Examples and practice problems discussed in MIT Micromasters in Supply chain managemen…☆20Updated 6 years ago
- Using Pima Indians diabetes data set to predict whether a patient has diabetes or not based upon patient’s lab test result variables like…☆16Updated 7 years ago
- Robust Supply Chain Network with Monte Carlo Simulation☆34Updated 6 months ago
- Geoffrey-Z / Multivariate-Time-Series-Forecasting-with-LSTMs-in-Keras-for-CORN-SWEET-Terminal-Market-Price☆16Updated 4 years ago
- 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
- Inventory Management for Retail — Deterministic Demand☆16Updated 6 months ago
- An advanced version of K-Means using Particle swarm optimization for clustering of high dimensional data sets, which converges faster to …☆12Updated 7 years ago
- Implementing Genetic Algorithm on K-Means and compare with K-Means++☆64Updated last year
- Multivariate Time series Analysis Using LSTM & ARIMA☆37Updated 5 years ago
- The repository contains my code for route optimization heuristics developed to solve the problem of routing for pick/place operations in …☆13Updated 7 years ago
- The quantum supply chain manager is a quantum solution for logistics problems. We use the power of quantum machine learning for product […☆29Updated 3 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆111Updated 7 years ago
- Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras base on tutorial of Jason Brownlee☆21Updated 7 years ago