Part 2 of this series presents a case study of the redesign of a bracket’s fatigue model. The case study shows how UQ techniques can be used to perform robust risk estimation, identify key drivers of manufacturing variability and gather more information for critical decisions.
Learn to combine Six Sigma with UQ – advanced statistical techniques that, when applied to simulations of complex systems, generate actionable results to reduce process variability.
The DMAIC (Define, Measure, Analyze, Improve, Control) project lifecycle, the predominant methodology in Six Sigma for improving existing processes, is intended to bring about significant change in the behavior of the process under study. In order to know if such goals have been met, the process being worked on needs to be one in which…
Statistical process control (SPC), despite sounding esoteric, is a subject that every process owner and worker should – and can – understand, at least at a high level. Knowing whether a process is in control and stable is paramount to producing a product or service that meets customer needs. In this hour-long Minitab training course…
The cookbook contains a succinct representation of various topics in probability theory and statistics. It provides a comprehensive reference reduced to the mathematical essence, rather than aiming for elaborate explanations. » Download the Probability and Statistics Cookbook Probability and Statistics Cookbook Screenshots
Part 1 of this article helped practitioners understand the key drivers for the growth of statistics, introduced some leading analytics competitors and outlined the high-level profit roadmap. Now it is time to begin using the tools. Part 2 describes some statistical tools practitioners can use for predictive decision making. Applying the Analytics Tools Two key…
One of the most memorable quotes from the movie The Graduate (1967), staring Dustin Hoffman, is the brief exchange between young Benjamin and a family friend, who offers the following advice: Mr. McGuire: I want to say one word to you. Just one word. Benjamin: Yes, sir. Mr. McGuire: Are you listening? Benjamin: Yes, I…
Based on the desirability function, using batting average, home runs, runs batted in (RBIs), All Star Game appearances and Gold Glove awards all weighted equally, Ron Santo, a third baseman for the Chicago Cubs from 1960 to 1973, should be a member of the National Baseball Hall of Fame. An understanding of the desirability function…
Forecasting is an integral part of business management. The better the forecast, the better management will be able to plan for the future. Although there are many methods for making forecasts, some are better suited than others for particular situations. For short-term forecasting, Black Belts can benefit from analyzing production trends and looking for special…
When working with data sets, practitioners sometimes encounter metrics, such as out-of-roundness and loss-of-moisture measurements, with physical limits. In these scenarios, the data distribution is truncated at the value of physical limitation, creating a distribution outside of the criteria of a normally distributed population. With non-normal data, estimates and predictions using the normal distribution are…
While Micropump, which manufactures small-volume, precision-flow, sealed pumps, has been in business for 46 years and has been owned by IDEX Corporation for 11 years, it is in the last several years that innovations in its product line have accelerated rapidly. The reason is because now there is more cash to finance research and development…
A variety of analyses can be done during the Analyze phase of a Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) software project with data from Fagan-style inspections. These analyses suggest possible implications when considering Improve activities. Analyses used here are based on a real situation and the conclusions drawn are valid in that situation,…
Many consultants remember the hypothesis testing roadmap, which was a great template for deciding what type of test to perform. However, think about the type of data one gets. What if there is only summarized data? How can that data be used to make conclusions? Having the raw data is the best case scenario, but…
Dr. Mark Andrews
Donald J. Wheeler
Michael Cyger
iSixSigma-Editorial
Peter J. Sherman
Carl Berardinelli
Andrew Creager
Shelly L. Bibby
Karen Carter
Gary A. Gack
J. DeLayne Stroud