As emerging technologies like AI and robotics capture attention, foundational engineering principles remain crucial. Essential for innovation, these include material science and control theory. ASME’s Y14.5 Standard on geometric dimensioning and tolerancing (GD&T) is key for advanced manufacturing.
The ongoing challenge for many companies is how to upgrade or integrate internal audit knowledge/competence and maybe cross train auditors for all the auditing schemes that your company is currently registered to or may be planning on expanding.
One of the major challenges in the manufacturing industry is the skills gap and the need to attract more individuals, especially young people, to pursue careers in this field. Organizations like IMTS and ASQ emphasize the importance of showcasing the opportunities that a career in manufacturing offers.
Unlike internal combustion engine vehicles, EVs rely on complex battery systems, electric powertrains, and sophisticated software that must work seamlessly together.
As electric vehicles (EVs) reshape the automotive industry, manufacturers are pressured to enhance processes and achieve first-time quality. The demand for sustainable transportation requires a rethink of production strategies, with a focus on establishing a one-piece flow—ensuring each unit moves through the line without interruptions. This efficiency is vital for meeting consumer expectations and setting industry benchmarks.
Digital connectivity is a driving feature of our lives. While invaluable in our personal lives, it also has the potential to transform manufacturing processes. In many cases, this has already taken root. But in one area – 3D measurement activities – it has so far not been used to the fullest.
As businesses increasingly rely on machine vision to enhance quality, improve productivity, and increase the bottom line, technology providers are relying more on industrial computing solutions that enable faster processing speeds and higher efficiency, or that support new tasks altogether.
As consumers demand higher-quality goods at steadily increasing volumes, the chief benefits of industrial automation — speed, accuracy, and consistency—become more important to businesses worldwide with each passing day.
We are going to be dissecting six data integrity issues that require resolution prior to taking any further steps into the overall quality control process.