Statistical Process Control

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The business and public sectors have evolved significantly since the first edition of this practical guide in the mid-eighties, when statistical methods for quality control were being rediscovered. The book addressed an urgent need for understanding and applying these techniques to data. Over time, organizations, especially in automotive and high-tech industries, shifted focus from problem-solving to preventing issues. Subsequent editions maintained the original 'toolkit' approach while incorporating the underlying philosophy of these techniques. The 7th edition emphasizes processes that require understanding, exhibit variation, must be controlled, possess capability, and need improvement—structured into five key sections. This edition transcends being merely a toolkit, offering instructional guidance alongside essential management practices crucial for success in today’s organizations. Supported by the authors' extensive consulting experience across thousands of global organizations, it includes updated real-life case studies, new research, and integration with advanced computer methods and Minitab software. Retaining its textbook quality, it features clear learning objectives and end-of-chapter discussion questions, making it suitable for students and professionals alike who wish to grasp or implement modern statistical process control techniques.