Webinar: Using Stats to Control Your Manufacturing Process from Start to End
A free webinar presented by Mitutoyo October 31 will provide three steps to ensure control throughout a manufacturing process that leads to improved quality.
Share




.jpg;maxWidth=600)
Statistical process control (SPC) helps improve quality and reliability while reducing operating costs. This can be achieved by gathering and analyzing data to determine the best manufacturing process for a particular workpiece. By focusing on critical characteristics of a part and allowable ranges, companies can ensure parts are produced within tolerance.
An upcoming webinar presented by Robert Fruit, senior system engineer CT-lab at Mitutoyo, will discuss three steps: the X-Bar and R chart, histogram chart and capability indexes, that help ensure control throughout the manufacturing process. In addition, these steps provide a visual representation of the process that show how it meets customer requirements.
.
Related Content
-
Can AI Replace Programmers? Writers Face a Similar Question
The answer is the same in both cases. Artificial intelligence performs sophisticated tasks, but falls short of delivering on the fullness of what the work entails.
-
How this Job Shop Grew Capacity Without Expanding Footprint
This shop relies on digital solutions to grow their manufacturing business. With this approach, W.A. Pfeiffer has achieved seamless end-to-end connectivity, shorter lead times and increased throughput.
-
Automated CAM Programming – Is Your Software Really Delivering?
A look at the latest automation tools in Autodesk Fusion 360 software and how forward-thinking machine shops and manufacturing departments are using them to slash delivery times and win more business.