This repository contains Python scripts along with step-by-step instructions for data processing, data analysis, and hypothesis testing as outlined in the second-round analysis of the RBAC 2025 competition.
- RBAC_DataPreprocessing.ipynb: Used for data preprocessing before further analysis.
- RBAC_DataAnalysis.ipynb: Used for analyzing the processed data.
- RBAC_Affect.ipynb: Used for testing statistical hypotheses and quantifying the business impact of insufficient operations or downtime.
- RBAC_Dashboard.pbix: Used to visualize the factory's operational performance with some key metrics like Overall Equipment Effectiveness, Defect Rate, Production Throughput Yield..
This project is developed and maintained by the following team members:
- Dinh Viet Khanh
- Tran Bao Phu
- Nguyen Truong Hoang
- Le Pham Huyen Truc