Description
Statistical Process Control and Data Analytics provides a thorough exploration of SPC methods and modern data analytics approaches essential for quality management and continuous improvement. Written by John Oakland and Robert Oakland, this Routledge publication combines theoretical foundations with practical applications that professionals can immediately implement.
The book covers control charts, process capability analysis, and statistical techniques for monitoring process performance. It integrates contemporary data analytics methods with traditional SPC approaches, addressing the needs of modern organizations managing complex processes. Readers will learn how to identify process variations, distinguish between common and special causes, and make data-driven decisions that lead to operational excellence.
Ideal for quality managers, process engineers, and data analysts, this resource bridges statistical theory and real-world implementation, making it valuable for both beginners and experienced practitioners seeking to enhance their analytical capabilities.
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