Month: October 2012

If you are leading any type of process improvement program, you have probably felt at times like your efforts were yielding less-than-expected results. It is no wonder: the list of possible hurdles to overcome – restrictive organizational structure, politics, stagnant organizational culture, power trips – goes on and on. This interview with Lee Pollock, the […]

In a previous article, “Kaizen – ADHD Therapy Using Continuous Improvement: Tools to Keep Employees Continuously Occupied,” we discussed what a Kaizen event is, focusing on how to organize and scope the event. This article looks at some common tools and techniques for planning a successful Kaizen event, and identifies some pitfalls to avoid. Data, […]

FOR IMMEDIATE RELEASE For more information, contact: Melissa Watts [email protected] 800-777-3020 Dayton, OH (October 18, 2012) – A new release of GAGEpack from PQ Systems features a redesigned add-on module called GAGEmail that serves as an automated email gage alert system. An improved, flexible “To do” list and new reporting capabilities are among other highlights  […]

FOR IMMEDIATE RELEASE Daring goals, data-driven innovation, inspiring leadership, and employee engagement are the keys to success. Rochester, NY (October 16, 2012) – A book by Vele Galovski, a veteran corporate executive, promotes a practical approach to innovation designed to help organizations achieve breakthrough results. The book—The Perpetual Innovation Machine—describes a holistic approach to management […]

The model for team organization known as GRPI (goals, roles and responsibilities, process, and interpersonal skills) began in the field of social science and has since been adopted into Six Sigma’s change acceleration process (CAP) tool kit. Let’s start our discussion of GRPI by establishing the context around CAP. Change Acceleration – The Roots of […]

The objective of a design of experiments (DOE) is to optimize the value of a response variable by changing the values, referred to as levels, of the factors that affect the response. Although often a response is continuous in nature, there are some cases in which the response falls in the attribute category (e.g., pass/fail, […]

“All models are wrong but some are useful.” – George Box The statistic R2 is useful for interpreting the results of certain statistical analyses; it represents the percentage of variation in a response variable that is explained by its relationship with one or more predictor variables. Common Use of R2 When looking at a simple […]