Statistical methods for process improvement - Part 1: Using data for process improvement (PDHonline Course P207).

Woodruff, D. M. (2020). Statistical methods for process improvement - Part 1: Using data for process improvement (PDHonline Course P207). PDH Online | PDH Center. https://www.pdhonline.org

This resource provides an in-depth examination of statistical methods tailored for process improvement initiatives, focusing specifically on the utilization of data. As the first part of a broader curriculum, the course material introduces foundational concepts necessary for understanding how data drives decision-making within continuous improvement frameworks like Lean Six Sigma. It emphasizes the importance of accurate data collection, measurement, and preliminary analysis techniques to establish baselines and identify areas of variation. By equipping practitioners with the statistical tools needed to objectively evaluate processes, the course aims to transition organizations from intuition-based to evidence-based problem-solving. It highlights practical applications of these statistical methods in real-world scenarios, enabling professionals to better monitor process performance, reduce defects, and ultimately achieve higher levels of operational efficiency and quality control.