Overview

This course provides an in-depth understanding of the Design of Experiments (DOE), a structured statistical methodology used to identify the factors that influence key process outcomes. Participants will learn how to plan, conduct, and analyze controlled tests to evaluate the effects of multiple variables simultaneously.

The training covers fundamental DOE principles, experimental design types (full factorial, fractional factorial, etc.), and practical data interpretation techniques. Participants will explore real-world applications of DOE in product development, quality control, and process optimization. Through hands-on examples, learners will acquire skills to make data-driven decisions, minimize variability, and improve operational performance.

Whether you’re involved in R&D, manufacturing, engineering, or quality management, this DOE course equips you with the tools to solve problems efficiently and drive continuous improvement.