Textbook in PDF format The quality knowledge landscape is rapidly evolving alongside advancements in information technology and manufacturing methods. As data science transforms information processing, quality decisions are becoming more data-driven, while innovations like additive manufacturing and Industry 4.0 automation demand new measurement and control approaches. This convergence necessitates updated educational resources to equip future engineers and managers with the integrated expertise needed for implementing modern quality systems that span entire production ecosystems rather than operating in departmental silos