Design of Experiments (DOE): Applications and Benefits in Quality Control and Assurance

Abstract

This chapter explores the applications and benefits of Design of Experiments (DOE) in the context of quality control and quality assurance. DOE is a statistical methodology that enables researchers and practitioners to systematically investigate and optimize processes, identify critical factors affecting quality, and reduce variability and waste. This chapter begins by introducing the overview and definitions of DOE, covering topics such as the history of DOE, types of DOE, steps involved in conducting DOE, and key components of DOE. The specific applications of DOE in quality control and quality assurance were explored, highlighting their importance across various industries. It demonstrates how DOE can be effectively applied to optimize products and processes, reduce defects and variation, improve quality, implement Six Sigma, and validate and verify processes. It then delves into the specific applications of DOE in quality control and assurance, highlighting its significance in various industries and sectors. Furthermore, the book addresses challenges and considerations in implementing DOE in real-world scenarios, such as resource constraints, experimental constraints, and data analysis complexities. It provides basic information on software tools commonly used in DOE.