QDL for May 31, 2019
Wouldn't it be awesome if high school students had access to cutting-edge tools similar to what are used on today's high-tech shop floors. Well they can, and Adam Sebran, business development manager for 3D & education at Roland DGA will tell us about some of the cool desktop tools that Roland is selling to high schools around the country.
The term “risk-based thinking” (RBT) is familiar to those in the quality profession. This familiarity comes in part from its inclusion in ISO 9001:2015, the International Organization for Standardization (ISO) quality management system standard.
As early as 2015, McKinsey’s “Digital America” report projected that adoption of Industry 4.0 technologies in manufacturing alone was expected to increase domestic GDP by more than $2 trillion by 2025.
In manufacturing today, data analysis tools can give management the information it needs to make better decisions in areas such as maintenance and labor.
Is your enterprise dominated by passive thinking and prescribed routines? Or is it one that generates fresh thinking and unlocks insights into the future?
Do you know what a retailer and a tightrope walker have in common? They both have to balance. For the tightrope walker, the logic is clear. But what’s the balance that a retailer is looking for?
Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies.
Current business conversation often focuses on data and big data. Data are the raw information from which statistics are created and provide an interpretation and summary of data.
QDL for May 24, 2019
This week on QDL we continue our discussion on women in metrology.
We talk to Karen Malen-Hogle, an associate technical fellow, in 3D metrology engineering at Boeing. Karen has an amazing background at Boeing, having worked on the B2 bomber, the 777, the F-22 fighter and a lot more. We'll hear how she got started in metrology and what you should know if you are interested in this fascinating field.
Anthony Chirico1 describes how narrow-limit gauging (NLG, aka compressed limit plans) can reduce enormously the required sample size, and therefore the inspection cost, of a traditional attribute sampling plan.