Introduction to Risk AnalysisIn the concept version of ISO 9000:2015 risk analysis will be a requirement. This white paper describes an introduction to risk analysis and FMEA, the history of FMEA, how to get started with FMEA and the layout for IATF 16949. |
Managing FMEA’sWhat is required to make your FMEA program a success? What do you need to prepare before starting with FMEAs and what do you need to do per individual FMEA. |
FMEA ClassificationHow are is priority for improvement established and how are classification symbols and special characteristics used in FMEA? Different methods will be discussed for prioritizing: Risk Priority Matrix, RPN, Action Priority, Classification Symbols. |
Is Excel the right tool for FMEA?It seems at first but there are so many specific requirements which are very complicated to implement in Excel, that Excel is hardly the right tool. |
FMEA and HACCP: A comparisonIn industries, FMEA is used. In Food industry HACCP is used. What are the similarities and differences and what would be the advantages for the Food industries to apply FMEA. |
FMEA and Cost EffectivenessWhat problems do we fix, how much do they cost us? What are the current costs of customer returns? Does the FMEA affect the bottom line or the top line? How can FMEA generate new business? |
Capturing Process Knowledge using Standard FMEAsHow can knowledge be stored in FMEAs and re-used with new product and process development. |
AIAG VDA FMEAThe new FMEA manual has restructured the FMEA process. In this article we will summarize the major changes. DataLyzer FMEA in different industriesThis whitepaper shows how DataLyzer FMEA can be used throughout numerous different industries. It also highlights several features that have been added to improve the functionality of DataLyzer FMEA. |
See this whitepaper for more details. To facilitate the start-up of DataLyzer FMEA, the Excel FMEAs can be imported.
Early in the design process product characteristics and its classification are established and specifications are defined. These characteristics are forwarded in every step of the APQP process and are measured, analyzed, controlled and reported in First Article Inspection Report (FAIR), PPAP and SPC reports.
DataLyzer together with DISCUS is the only combination able to offer an integrated solution from 3D model or drawing for the full APQP process to SPC and FAIR reporting.
Contact us to check why leading companies in aerospace, automotive and medical devices industry are selecting the DataLyzer solution.
Read this whitepaper for further information.