Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain
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Updated
Dec 16, 2022 - Python
Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain
Creating Supply & Demand during tough times of lockdown caused by COVID-19
A spare engine placement generator based on a Finite-Horizon Markov Decision Process
The goal of this project was to explore demand forecasting using R, analyze trends, seasonality, and create ARIMA models to predict future demand. This README provides an overview of the project and its structure.
A default spare engine placement generator
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