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.
Having fully interactive access to shopfloor control software enables supervisors at metal finishing and repair job shop to monitor shop activities and make better decisions on the spot.
This automated machine data collection software automatically collects a wealth of information specific to machining processes and presents it in an intuitive format so users can quickly analyze the data and implement changes.
For this small job shop, measuring and controlling everything are the keys to lean—very lean—manufacturing. Yet its management style is surprisingly open and trusting.