Enhancing the manufacturing products’ quality using statistical control charts: A governance implication

Control charts are essential tools for maintaining consistent quality and identifying variations in the production process, making them critical in industrial quality control (QC) (Wehrlé & Stamm, 1994; Eissa, 2018). This study addresses the limited adoption of statistical QC techniques at Avalon Pharma, a pharmaceutical company. It aims to assess the effectiveness of control charts (mean, standard deviation, and range charts) in improving the QC of Amaglime 2mg tablets. A sampling inspection plan was implemented, with subgroups of five tablets, and data were collected over 20 sample sets. The study finds that the application of statistical techniques enhances product quality by aligning inputs and outputs. However, Avalon Pharma currently lacks statistical QC methods and experts, and there is no consistent training program. The research recommends integrating scientific statistical inspection methods across all production stages, hiring statistical QC specialists, and offering regular training to improve process efficiency. This research contributes to understanding the role of statistical techniques in the pharmaceutical industry’s QC systems and highlights the need for modernization in Avalon Pharma’s practices.