Supply Chain Analysis with Machine Learning & Neural Network
Learn how to analyse supply chain data using LightGBM and Recurrent Neural Network
What you'll learn
- Learn how to do supply chain risk assessment analysis to mitigate potential supply chain disruption risks
- Learn how to do inventory optimization analysis using Economic Order Quantity
- Learn how to do customer segmentation analysis by breaking down generated revenue by its customer demographics
- Learn how to forecast customer demand using LightGBM model
- Learn how to do K-Fold Cross Validation method to evaluate the performance of LightGBM forecasting model
- Learn how to do cost optimization analysis using Recurrent Neural Network model
- Learn how to do lead time optimization analysis to find the most optimal transportation mode and route
- Learn how to do quality control check by analyzing defect rate for each product type
- Learn several factors that can potentially cause supply chain disruptions, such as natural disaster, economic volatility, tariff and trade barriers
- Learn how to do inventory and order quantity optimization analysis using EOQ (Economic Order Quantity)
- Learn how to do cost optimization analysis using TCO (Total Cost of Ownership) method
