This book explores the principles and practices of statistical process control, focusing on monitoring and adjustment techniques to maintain and improve quality in industrial settings. It details methods for detecting deviations from desired process parameters and implementing corrective actions, drawing on established statistical theories and practical applications. The text aims to provide engineers and quality professionals with the tools to understand and manage process variability effectively, ensuring consistent product quality and operational efficiency.

This revised edition of 'Statistical Control by Monitoring and Adjustment' likely serves as a comprehensive resource for professionals and students in fields requiring rigorous quality management. The focus on both monitoring and adjustment suggests a practical, hands-on approach to process control, integrating theoretical underpinnings with actionable strategies. Its continued relevance points to the enduring importance of statistical methods in ensuring industrial efficiency and product reliability. The text is expected to be a valuable reference for those seeking to optimize manufacturing and operational processes.