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.
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.
Applying “intelligent algorithms” to part geometry and linking to appropriate sources of other required information can make the job-quoting process faster, more accurate and more likely to be competitive.
This shop brought the hidden costs down by paying close attention to tool inventory.
The leaders of a company providing both job-shop-type machining and fabrication of custom structures describe how they respect both of these teams and how they bring them both together. ISO certification has proven to be one valuable factor.