Please Register by Monday Nov 15th 6pm: Go to https://asq.webex.com/asq/k2/j.php?MTID=t9e2bc680c255d71c497483dbd6061be3 and register. WebEx registration confirmation will be automatically sent to those who register.
Webinar Agenda - Mon Nov 15th:
1. Welcome ASQ members ASQ opening announcements & speakers introduction: Guest Speakers: Kemal Oflus - Systems Engineer, and 2. Brian Washington - Account Manager, for JMP, a business unit of SAS Topic:
Part 2: Moving Beyond DMAIC & Six Sigma - Predictive Modeling & Text Analytics
3. Q & A session
4. ASQ closing announcement.
Part-2: Moving Beyond DMAIC and Six Sigma - Predictive Modeling & Text Analytics
During last month’s presentation in October, Kemal and Brian reviewed how the theory of predictive modeling and text analytics is being applied to modern Quality Engineering. Predictive Modeling is now being deployed by engineers to screen for process inputs of highest impact to yield/quality and 100s of manufacturing variables for likely causes of defects, without needing to wait for non-conformities and failures to show up in control charts and SPC analyses. Then, with Text Analytics, we explore how companies are gleaning new insights from raw, unstructured text data such as customer surveys, maintenance logs, and competitor product reviews. In this presentation, Kemal and Brian will walk through practical examples and best practices when using Predictive Modeling and Text Analytics.
Presented by our JMP Speakers: Kemal Oflus is a Systems Engineer for JMP, a business unit of SAS that specializes in hands-on statistical software. An applied physicist by training, Oflus previously worked as a rocket scientist using statistical methods to support risk assessment on the design and simulation of several projects for NASA and US Air Force. Oflus is a member of the American Society of Quality and the American Statistical Association. He regularly delivers talks and keynotes on data mining and predictive modeling.
Brian Washington is an Account Manager for JMP, a business unit of SAS that specializes in hands-on statistical software. As a Six Sigma Black Belt, Brian works closely with his clients to recognize the value and application of Six Sigma principles beyond manufacturing and implement companywide process improvement initiatives. Brian previously worked for Honeywell, consulting with clients in manufacturing and supply chain optimization.