Why Should You Attend:
Manufacturing involves an attempt to produce items that as closely as possible meet design specifications (e.g., size, strength, etc.). However, all production processes exhibit variation --- that is, no two items are identical. What method can be used to reduce such variation? The classic and still most widely used method is called SPC or "statistical process control".
All companies want to improve the quality of their products. Attempts to improve product quality need to be structured in such a way that they have a reasonable chance of success and the cost/benefit ratio is appropriate. The most successful method available for such endeavors is called SPC (statistical process control). SPC can also be used to meet ISO requirements for "continual improvement" as well as FDA requirements to "control and monitor production processes". SPC can even be used to monitor complaint rates, to determine if there has been a "significant" increase in complaints, which would therefore trigger an MDD "vigilance report" and/or an FDA MDR submission.
SPC is a statistical tool that objectively identifies when it is worthwhile to perform a formal investigation of manufacturing variation, in order to identify and mitigate its cause. SPC continually adjusts its sensitivity in order to ensure that such investigations are performed only when there is a reasonable chance of identifying causes of variation. SPC also provides information that can be used to estimate what % of items is being produced "in specification".
Areas Covered in the Webinar:
Who Will Benefit:
John Zorich has spent almost 40 years in the medical device manufacturing industry; the first 20 years were as a "regular" employee in the areas of R&D, Manufacturing, QA/QC, and Regulatory; the next 15 years were as a consultant in the areas of QA/QC and Statistics. These last few years were as a trainer and consultant in the area of Applied Statistics only. His consulting clients in the area of statistics have included numerous start-ups as well as large corporations such as Boston Scientific, Novellus, and Siemens Medical. His experience as an instructor in applied statistics includes having given annual 3-day seminars for many years at Ohlone College (San Jose CA), and previously having given that same course for several years for Silicon Valley ASQ Biomedical. He's given numerous statistical seminars at ASQ meetings and conferences. And he creates and sells validated statistical software programs that have been purchased by more than 110 companies, world-wide.
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