The book emphasizes the importance of conducting measurement process capability studies in production, particularly within the automotive industry. It outlines how these studies are mandated by international standards and company guidelines, aiming to mitigate product liability risks. By adhering to these practices, organizations can enhance quality control and ensure compliance with industry regulations.
In production, measurement process capability studies are required. This requirement is obligatory according to several international standards, guidelines and company guidelines of the automotive industry. Due to this requirement, the risk of product liability is to become appreciable and controllable. While the automotive industry implemented gage capability studies during the last years, today, the determination of the extended measurement uncertainty serves as an alternative to capability studies or to the applicability of measurement processes. This book gives a comprehensive overview and assists you in dealing with these requirements in industrial production. Several guidelines contained in this book (Bosch, DaimlerChrysler, General Motors Powertrain) apply the procedures described here. The acquired experience confirms the great benefit of these procedures in practice. The following standards are considered „ DIN EN ISO 9001:2000 and ISO/TS 16949 “ QS-9000, MSA Third Edition „ VDA 6.1, VDA 5 “Measurement Process Capability„ “ DGQ 13-61 „Gage Management“ „ GUM / DIN EN V 13005 “ DIN EN ISO 14253 „ DIN EN ISO 10012:2003 “ VDI/VDE/DGQ 2618
Whether you're a manufacturer beginning quality initiatives or a full-time statistician, you'll come to rely on Statistical Procedures for Machine and Process Qualification for all of the applied statistics information you need. Inside you'll find a detailed discussion of the tools used in statistical process control, statistical procedures for QS-9000 and ISO 9000, gauge capability, and more making this the most thorough process and machine qualification reference you own. With an introduction to statistical methods and process models, the authors guide you through basic engineering statistics, control charting, and measurement systems analysis. Practical case studies help explain the why and not just the how of using statistical techniques. By eliminating confusing jargon and technical mathematics, Statistical Procedures for Machine and Process Qualification will quickly become your most used reference.
