GAO, YUXIANG (2025) Interaction Analysis Between Process Characteristics in Production Lines for Philips Personal Health Products. Bachelor thesis, Data Science and Society (DSS).
![[img]](https://campus-fryslan.studenttheses.ub.rug.nl/style/images/fileicons/application_pdf.png) |
PDF
Y.GAOGraduationThesis.pdf Restricted to Repository staff only Download (1MB) |
Abstract
This study examines how individual Critical to Quality (CTQ) measurements affect the final product quality in an automated production line. A real-world dataset was used to build a machine learning pipeline using Pycaret for model selection and SHAP for interpretability. The data required filtering, normalization, and synthetic sampling to align CTQ values with final quality checks. The model identified key CTQs as strong predictors for quality outcomes. The results provide useful insights for engineers and offer a practical and reuseable approach for process optimization in manufacturing.
| Item Type: | Thesis (Bachelor) |
|---|---|
| Name supervisor: | Prof. Zwitter, A.J. and Mulvihill, H.L. |
| Date Deposited: | 30 Jun 2025 08:21 |
| Last Modified: | 02 Jul 2025 08:14 |
| URI: | https://campus-fryslan.studenttheses.ub.rug.nl/id/eprint/685 |
Actions (login required)
 |
View Item |