Developing a Model Towards Improving Monitoring Task of Manufacturing Process Adopting Multivariate Quality Control Approach and Principal Component Analysis

This dataset contains the raw data used in the study "Developing a Model Towards Improving Monitoring Task of Manufacturing Process Adopting Multivariate Quality Control Approach and Principal Component Analysis (PCA)". The data includes measurements from manufacturing processes, organized in Excel files, along with analysis files in GraphPad Prism (.pzfx). These data were used to perform multivariate quality control analysis and principal component analysis (PCA) to optimize process monitoring. Researchers can use these datasets to reproduce the results of the study or for further research in industrial engineering, quality control, and process optimization.