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.
In today’s fast-paced industrial environment, the right support and service can make all the difference between a successful investment and a costly disappointment.
As brands and their suppliers adopt digital workflows to help accelerate product ideation and reduce waste, companies need to go beyond color and digitize both color and appearance characteristics.
Too much measurement uncertainty leads to incorrect conformity decisions, incorrect assessment of machines and production processes, poorer process quality and thus, increased production and testing effort.
Would it shock you to learn that spending on artificial intelligence is on the rise? According to respondents of our Annual Quality Spending Survey, 55% of companies expect to increase their spending on AI for 2024.
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.
The transition from ICE to electric powertrain requires a complete review of the approach to quality and process controls. Some existing checks for ICE find even more extensive applications for the EV sector.