Quality Control

Through real-world case studies spanning automotive, pharmaceutical, and electronics industries, the text demonstrates how quality control has become an essential driver of manufacturing success. The book's structure progressively builds understanding through three key sections, beginning with fundamental concepts and statistical process control tools. It then delves into practical implementation strategies, including Six Sigma methodologies and lean manufacturing principles, before exploring cutting-edge quality management technologies such as machine learning and IoT-enabled monitoring systems.

What sets this book apart is its blend of theoretical foundation with practical application, supported by empirical research from manufacturing facilities across four continents. This accessible guide bridges the gap between complex statistical concepts and their real-world applications, making it valuable for quality control engineers, production managers, and business leaders alike. The inclusion of implementation roadmaps, audit checklists, and troubleshooting guides enables readers to translate theoretical knowledge into actionable quality improvements.

While focused on manufacturing environments, the book's principles can be adapted to various operational contexts, providing a comprehensive framework for establishing and maintaining effective quality control systems in modern production settings.