Steve Wise is vice president, statistical methods, InfinityQS International Inc. (Fairfax, VA;
www.infinityqs.com), a developer of statistical process control (SPC) software.
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SPC Software Helps Manufacturers Detect and Solve Process Problems
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Manufacturing Engineering: How does statistical process control [SPC] software help manufacturers improve quality? Steve Wise: There are many facets to this question. One of the most basic ways SPC helps improve quality is by giving instant feedback on data collection. By adding this first line of defense, you instantly take notice of items that otherwise would pass through undetected. Collecting data is like lighting up an area. Before any sampling strategies or analysis takes place, quality will improve just because the person collecting the data has a way of understanding if processes are perform- ing good, bad or otherwise.
Whether you are looking for divine knowledge from streams of data or simply looking for events in the data, the best path is to use statistical methods specifically designed to
stability expectations will give you intelligence that allows you to predict future performance. ME: What new tools have been added to your ProFicient SPC software? Wise: Manufacturers today are looking to really push the envelope in order to get more value out of their quality sys- tems. The cloud is opening new possibilities in driving global quality standards while remaining flexible to local require- ments. We’ve worked closely with the industry to develop powerful and intuitive cloud systems to meet the demand. Other recent enhancements to ProFicient have been add- ed to help companies with the management and movement of data. Manufacturing data can become extraordinarily powerful when you can extract snapshot samples from multiple unique
“One of the most basic ways SPC helps improve quality is by giving instant feedback on data collection.”
analyze a data population when the population is still being created—that is, live data coming off a process. Live analytics and event detection are at the foundation of SPC. Added benefits include identifying what machine is best suited for a given job or how much extra material is needed to complete a job—any process can be measured. Even if you don’t leverage the full capacity of an SPC platform, simply understanding a process’s mean, standard deviation and
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data highways and combine those samples into a single meaningful subgroup with all data sharing the same time stamp. This allows a company to sweep across a multitude of process parameter sensors and store those data values with measurement data from what the process is producing. In Six Sigma terms, we are automating the combinations
of X’s and Y’s and storing those paired comparisons to a database. The ability to correlate, in real time, process inputs
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