Data-Driven Quality and Process Improvement for Engineers

Course Overview

This training program provides engineers with a practical and structured introduction to key statistical tools used to control, evaluate, and improve engineering and manufacturing processes.The program combines four (4) essential topics—Measurement System Analysis (MSA), Statistical Process Control (SPC), Process Capability Analysis (Cpk), and Design of Experiments (DOE)—into an integrated learning path that reflects with actual industrial practice.

The training focuses on how engineers use data in daily operations and improvement activities. Participants will first learn how to verify that measurements are accurate and reliable (MSA). They will then learn how to monitor and control processes over time to ensure stability (SPC). Once a process is stable, engineers will learn how to evaluate whether it meets specification requirements using capability indices (Cpk). Finally, participants will learn how to systematically improve and optimize processes using structured experimentation (DOE). Each topic is delivered with engineering focused explanations, practical examples, hands exercises, and case studies, ensuring that participants can immediately apply what they learn to actual work situations. The training supports data driven decision making, reduction of process variation, improved quality performance, and stronger problem solving capability among engineering teams.