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

This book constitutes the refereed proceedings of two joint events - the International Workshop on Software Measurement, IWSM 2009 and the International Conference on Software Process and Product Measurement, Mensura 2009, held in Amsterdam, The Netherlands, in November 2009. The 24 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. This book considers issues such as the applicability of measures and metrics to software, the efficiency of measurement programs in industry and the theoretical foundations of software engineering.

Standards, Quality Control and Measurement Sciences in 3D Printing and Additive Manufacturing addresses the critical elements of the standards and measurement sciences in 3D printing to help readers design and create safe, reliable products of high quality. With 3D printing revolutionizing the process of manufacturing in a wide range of products, the book takes key features into account, such as design and fabrication and the current state and future potentials and opportunities in the field. In addition, the book provides an in-depth analysis on the importance of standards and measurement sciences. With self-test exercises at the end of each chapter, readers can improve their ability to take up challenges and become proficient in a number of topics related to 3D printing, including software usage, materials specification and benchmarking. - Helps the reader understand the quality framework tailored for 3D printing processes - Explains data format and process control in 3D printing - Provides an overview of different materials and characterization methods - Covers benchmarking and metrology for 3D printing

In the technical-scientific field, many decisions are supported by measurements. However, it is essential to assign to measurement results their actual meaning to achieve a correct decision. This aspect is particularly important and formally required when operating in Quality Systems. Therefore, measures management must be rigorous and it can find a concrete support in the topics discussed in this volume, because of the attention to metrological part and the removal of unnecessary restrictions.

This book has established itself as a standard reference for everyone dealing with statistical problems in industrial production. The focus is put on the application of the procedures required for machine acceptance and process qualification as well as interpretation of the calculated results. Great value is also set on the visualization of results in many different variations. This helps the practitioner to quickly gain insight into the situations he has to evaluate. Especially the included company guidelines are proof of the practical application and the benefit of the discussed topics in daily practice. This book takes the latest developments in international and national standards (i.e., DIN ISO 21747) into account. The company guidelines of Daimler AG, General Motors Powertrain, Robert Bosch GmbH, Volkswagen AG as well as the Ford Test Examples of the Evaluation of SPC Systems are included. The case examples included in the book as well as most of the charts and tables can be recreated using the qs-STAT(R) demo version. You an download this qs-STAT(R) demo version either from the Q-DAS(R) website (www.q-das.de) or order it directly from Q-DAS(R). The data necessary for handling the case examples are also included in the demo version.

This book shows readers how to use the process capability study to increase return on investment from their statistical process control/Six Sigma effort and make their company more competitive. It provides benefits to every department within a manufacturing organization.