Leo Wright is Product Manager of Reliability and Quality Solutions for JMP, a division of SAS. He joined SAS in 1999 and has 27 years of professional experience in biological sciences and manufacturing. Specializing in manufacturing quality and operations, Wright has significant experience in quality improvement techniques. At Gerber Products, where he worked before joining SAS, Wright directed the Corporate Quality Assurance program, and won the 1999 Process Manufacturing Enterprise Integration Award from Software Strategies magazine for the development of an integrated process control system that achieved substantial cost savings in manufacturing. Wright’s career also includes management positions with Ocean Spray Cranberries and Stroh Brewery. During his tenure at SAS, he has held positions as Consulting Manager, Solution Architect and Field Strategy Manager. Wright received his bachelor’s degree from Roger Williams College in 1980 and has completed several graduate-level courses in applied statistics, focusing on manufacturing process improvement. He earned the Quality Engineer certification from the American Society for Quality (ASQ) and is a Senior ASQ member in the areas of reliability, Six Sigma, statistics and food regulation.
The reliability of components, devices and complex systems is a critical aspect of the quality experience as viewed, and judged, by consumers. Reliability, which is often defined as “Quality over Time,” requires many different analytical techniques depending on the type of data being used and the goal of the findings
Many readers may be familiar with the broad spectrum of reliability platforms and analysis methods for reliability-centric problems available in JMP. The methods an engineer will select – whether to solve a problem, improve a system or gain a deeper understanding of a failure mechanism – are dependent on many
They say great minds think alike. We’ve also heard that two heads are better than one. Well, in the case of husband and wife Brenda and José Ramírez, two great minds have combined to develop and teach highly successful, modern quality practices. Deploying traditional techniques such as those developed by
Do you have a need to forecast future warranty returns or forecast financial reserves? If so, you will be interested in the new reliability forecasting add-in for JMP 9 that uses the popular Nevada data format to perform predictions and plan future inventory requirements, and budget for future claim payments.
If you perform reliability data analysis using read-out data formats, you will be excited to see a new JMP add-in written by my colleague Peng Liu that is available for download from the JMP File Exchange. (Download requires a free SAS login.) Read-out data, a common data type used in
JMP staff members Susan Glick, Jami Hampton, John Guerrero and I attended the ASQ Lean Six Sigma event in Phoenix Arizona the week of Feb. 10. The JMP booth was buzzing with interested attendees looking to capitalize on JMP’s Lean Visual Six Sigma concepts. Attendees were keenly excited about JMP’s
The JMP team recently attended the IQPC Lean Six Sigma and Process Improvement Summit at Walt Disney World as one of the key sponsors of the event. Aside from the motion sickness from too much fun on the theme park rides with Mickey, the event had outstanding attendance and numerous
Most of us who brave Midwest winters pursuing steelhead trout – the ocean-going form of rainbow trout – already know that you have to pay your dues. It’s well worth the effort when we achieve a solid hook set into the awesome power of the famed silver torpedoes. So, how
Using JMP for Six Sigma? Looking for a Six Sigma menu to add into JMP 7? Many of you use the optional JMP 6 Six Sigma menu. We have had numerous request to make that menu available for JMP 7. As part of the process we would like to like