Enable a manufacturing quality-driven collaboration between suppliers and buyers to eliminate interpretation, reduce costs, risks, and expedited delivery time.
A leading aircraft manufacturer faces $27B in losses due to slow supply chain fixes, aggravated by escalating quality standards like AS9102 Rev C. The solution lies in seamless communication of requirements from buyers to suppliers, streamlining operations for all parties involved.
DOE is a method that helps manufacturers improve processes by understanding the relationship between factors and the output. It involves defining the problem, selecting the right design, conducting the experiment, analyzing the results, and implementing changes.
Microscopy systems must ensure data integrity and process reliability to meet regulatory requirements with a software solution providing the respective functionalities such as Audit Trail, Electronic Signatures, and User Management.
Data visualization transforms complex data into clear insights through charts and graphs, helping users quickly spot and address production issues and make informed decisions.
An Industry 4.0 mindset and a “lights-out” style of operation is driving quality and manufacturing teams to integrate measurements and process controls more tightly. The hope is that localized, closed loops will provide great benefits, including lower manufacturing costs, lower labor costs, and improved product quality.
One of many driving factors behind this automation growth is that the convergence of multiple technologies — including AI, robotics, and machine vision — has enabled the industry to democratize automation by making it easier to deploy and operate.
Manufacturers looking at replacing paper-based quality processes are being presented with a much broader and more effective set of technologies than ever before.
The hard card, or traveler or build book, has many names. And while computerizing quality management is no longer news, that stack of papers always seems to be hanging around.
Integration of the latest artificial intelligence (AI) technologies enable even deeper insights. Users achieve more reliable interpretation of complex information in less time while boosting productivity and reproducibility.