For many manufacturing quality professionals, the thought of updating their statistical process control (SPC) solution is like getting an extra birthday.
An organization can achieve great results when everyone is working together, looking at the same information generated from the same data, and using the same rules.
Blame it on Moore’s law. We live in a digital Pangaea, a world of borderless data driven by technology, and the speed and density with which data can be transmitted and handled.
It’s no secret that manufacturing companies operate in an inherently unstable environment. Every operational weakness poses a risk to efficiency, quality, and ultimately, to profitability.
For nearly a century, statistical process control (SPC) has been the cornerstone of quality management and process control. But traditional SPC can’t keep up as the pace of manufacturing accelerates.
Quality data are the heart and soul of statistical process control (SPC), the industry standard methodology for measuring and controlling quality in manufacturing processes. Asking manufacturers to give up data is like asking them to give up water.
During the first six months after the publication of its first edition in June 2019, the AIAG & VDA FMEA Handbook gained popularity in the global automotive industry. Both U.S.
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Throughout my career, I’ve enjoyed the thrill of several transitions between parallel (related but different) professional camps.