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.
The changing demands of aerospace companies have prompted machine shops such as this one to evolve their processes and equipment to become more competitive.
Bridging the gap between process engineering and shop floor activities can bring about a "deproliferation" of cutting tools.
A database guru combined off-the-shelf technology with an elaborate proprietary shop management software to drive efficiency throughout all areas of a machine shop.