Check out the December 2023 edition of Quality! Read our cover story on Quality 4.0 as the next natural step in the evolution of quality, 3 ways manufacturers do more with less, a Vision & Sensors special section and much more!
The key to a solid internal audit is ensuring that those in the process are aware of the requirements noted in their procedures and can access those procedures.
Industry leaders are now seeking ways to simplify processes, cut costs, and get more done with fewer people. Fortunately, the tools and technologies required to accomplish these goals are already here.
One of the more frequent questions we receive is: I am tapping a ¼-20 UNC 2B internal thread with an “H13” tap, what gage do I need to inspect the threaded holes in my parts after tapping?
Today, most surfboards are made with a CNC machine. 3D metrology laser trackers can assist with critical quality control safeguards to ensure the CNC machine is doing its job properly.
We will explore the use of CMMs, advancements in technology, and their growing contribution to support leading developments in automation, artificial intelligence, and machine learning.
Four distinct actions are recommended to ASQ Professional Members for optimal results. These pursuits represent the consistency and compounded benefits that long-term members of ASQ have been realizing and yielding for decades.
For quality assurance purposes and to optimize the manufacturing workflow, machine vision is employed throughout the entire process to identify production errors, damage, or impurities early on.
We sat down with Carole Franklin, director of standards development at A3, to talk about the importance of safety standards for robot systems and the different requirements needed to ensure safe deployments.
Today companies record process trends digitally. However, analysis is still conducted in much the same way, with operations staff manually identifying trends. Enter artificial intelligence (AI) and machine learning.
No matter the industry or application, all machine vision systems require light – whether visible or non-visible – to capture images. High quality output relies on high quality images, which require adequate lighting.