SAS
305 Case Studies
A SAS Case Study
AstraZeneca needed to make Turbuhaler manufacturing more cost‑effective and reduce production variability, but production data was fragmented across many systems and extremely large in volume (thousands of parameters and tables generating millions of rows). The manual effort to collect and analyze batch data slowed problem detection and decision making, so the company sought a scalable way to merge, validate and analyze production, planning and quality data for many user groups.
A prototype using SAS Enterprise BI Server consolidated all production data into a single, quality‑assured database with automated per‑batch data management, role‑based access and reporting for 50–100 users. The solution freed engineers from data collection to focus on analysis, enabled faster root‑cause identification, reduced manufacturing variation, improved yield and quality, delivered significant time savings, and is being extended to additional products.
Henrik Åkerblom
Process Engineer