Bøker av D. H. Stamatis

¿Author D. H. Stamatis has updated his comprehensive reference book on failure mode and effect analysis (FMEA). This is one of the most comprehensive guides to FMEA and is excellent for professionals with any level of understanding.!--nl--This book explains the process of conducting system, design, process, service, and machine FMEAs, and provides the rationale for doing so. Readers will understand what FMEA is, the different types of FMEA, how to construct an FMEA, and the linkages between FMEA and other tools. Stamatis offer a summary of tools/methodologies used in FMEA along with a glossary to explain key terms and principles. The updated edition includes information about the new ISO 9000:2000 standard, the Six Sigma approach to FMEA, a special section on automotive requirements related to ISO/TS 16949, the "robustness" concept, and TE 9000 and the requirements for reliability and maintainability. Also includes FMEA forms and samples, design review checklist, criteria for evaluation, basic reliability formulae and conversion failure factors, guidelines for RPN calculations and designing a reasonable safe product, and diagrams, and examples of FMEAs with linkages to robustness.

Many books and articles have been written on how to identify the "root cause" of a problem. However, the essence of any root cause analysis in our modern quality thinking is to go beyond the actual problem. This book offers a new non-technical statistical approach to quality for effective improvement and productivity by focusing on very specific and fundamental methodologies as well as tools for the future. It examines the fundamentals of statistical understanding, and by doing that the book shows why statistical use is important in the decision making process.

Many books and articles have been written on how to identify the "root cause" of a problem. However, the essence of any root cause analysis in our modern quality thinking is to go beyond the actual problem. This book offers a new non-technical statistical approach to quality for effective improvement and productivity by focusing on very specific and fundamental methodologies as well as tools for the future. It examines the fundamentals of statistical understanding, and by doing that the book shows why statistical use is important in the decision making process.