Customer Spotlight: Kellie Foglio, USG Corporation

This month’s newsletter starts the first in an occasional series about individuals working in continuous improvement. Our goal is to let LSS practitioners tell their stories and share some lessons learned. This month I spoke with Kellie Foglio, a LSS Master Black Belt with USG Corporation. When did you begin working at USG Corporation, and … Read more

Design of Experiments: A Case Study – Part 2

Co-Authored by Alberto Yáñez-Moreno, Ph.D and Russ Aikman, MBB In Part 1 of this blog, we shared some basic information about designed experiments, and the advantages of DOE over other root cause methods. In this blog we will provide an overview on how to conduct a designed experiment. We will also share details of a … Read more

Design of Experiments: A Case Study – Part 1

Recently TMAC was providing coaching for a Black Belt working in the Analyze Phase of his project. He was trying to figure out how to increase the output for a manufacturing process. The company was in a sold-out position – demand exceeded supply. The process was production of glass fibers used in the manufacture of different types of insulation. The manufacture of glass fibers is a highly complex process. The BB determined additional capacity could result in a sales increase of over $1M.

The Three-Legged Stool

Sometimes despite your best efforts and a lot of hard work you don’t get the expected results when working on continuous improvement. This can be very frustrating, especially when you are new to Lean Six Sigma. Imagine yourself in each of the following three scenarios. Scenario 1: Your company has offered you the opportunity to … Read more

ANOVA for All Occasions

Authors: Diana Martinez, Ph.D. and Satya Kudapa
Analysis of Variance – commonly shortened to ANOVA – was introduced by the British statistician Sir Ronald Fisher (1890-1962) in 1925. An extremely useful tool for LSS practitioners, ANOVA is a type of hypothesis test to determine whether the means of different populations are the same or different, based on sample data. Note that, despite its name, ANOVA is NOT used to tell if there is a difference in the variance of different populations.
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Balancing Old and New

Earlier this month I attended two different conferences in which I got a glimpse of the future. The fi­­rst was the Minitab Insights Conference, held in Leesburg, VA (Oct 10-11). Many presenters covered topics that would be familiar to all Green Belts and Black Belts – Design of Experiments, Measurement System Analysis, and Sampling. Other … Read more