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Can a Lean Six Sigma Scorecard Be the Answer to Strategy Execution?
Kyle Toppazzini
A s you may be aware, causality is critical in strategy execution. Without causality, it is nearly impossible to measure the impact of various strategic initiatives of a company’s overall goals; therefore, it would be difficult to tell if you were headed in the right direction, a situation similar…
So Does Toyota Really Have a Quality Issue?
Kyle Toppazzini
Whenever I write about continuous improvement and lean Six Sigma, without fail I get a comment about Toyota and its quality issues. So I decided to investigate this matter further, present the facts, and let the data be the voice of reason. I do expect the proverbial “Yabut and Costello” comments—i…
My Lean Six Sigma Data Collection Secrets
Kyle Toppazzini
I can’t tell you how many times I’ve heard, “We don’t have the data for this. I guess we’ll need to make an educated guess.” In the lean Six Sigma engagements I work on, my response to this is, “Let’s create the data.” Without fail, I get the deer-in-the-headlights stare for a couple of seconds…
Success by Any Other Name
David Schwinn
One of the most important events I remember experiencing years ago as part of my MBA was an introductory conversation I had with J. B. Black, Jr., a dean at Wright State University. One of the things I learned from Black was that a most important part of my forthcoming job as a manager was to “make…
Will Health Care Professionals Accept the Lean Concept of ‘Standardized Work?’
Mark Graban
When I was a guest on Quality Digest Live, co-host Dirk Dusharme asked me about hesitations that some health care professionals might have about the lean concept of “standardized work.” As you can see in the show’s archived recording, I talked about how the increased standardization of core…
Control Charts for Services
Jay Arthur—The KnowWare Man
Although Quality Digest often has in-depth articles about the nuances of control charts, I’ve found that many beginners are at a loss to figure out how to organize their data, especially in service industries such as health care, hotels, and food. They complain that the examples are all…
Control Charts: Which One Should I Use?
Steve Wise
Selecting the right control chart starts by knowing something about what you want the chart to say about the process—what questions do you want the chart to answer? Another way to look at this is to ask yourself, “Why am I collecting data on this part?” The answers to these questions will provide…
Reassessing GDP Growth with Data and Statistics, Part One
Jim Frost
If you combine tough economic times with a presidential election year, you get a heightened interest in how the economy is changing. Is it growing faster or slowing down? Unsurprisingly, there are many contradictory predictions about what will happen over the longer term. You’ll find countless TV…
Reassessing GDP Growth with Data and Statistics, Part 2
Jim Frost
This is part two in a three-part series where we assess what information we can obtain from the various estimates of quarterly GDP growth using statistical analysis and a control chart. Read part one here, and part three here. An I-MR chart comprises two plots, the individuals (I) chart on the top…
The Economics of Lean Production
Stewart Anderson
What is the economic rationale for pursuing lean production? Much of the lean literature is concerned with the nuts and bolts of lean, and the economics of lean are somewhat less publicized. This article attempts to redress that imbalance, albeit in a very condensed way. Firms employ capital and…
The Bickerson’s Battle Over Alpha
Patrick Runkel
Meet Betty and Bart Bickerson, husband-and-wife quality analysts who work at different companies. Betty and Bart argue about everything. They argue whether grey is a color. They argue whether tomato is a fruit. They argue whether the chicken came before the egg, and whether the egg tastes better…
Lies, Damned Lies, and Teens Who Smoke While Driving
Donald J. Wheeler
I n my February 1996 Quality Digest column I discussed an article out of USA Today. Since that article provides a great example of how we need to filter out the noise whenever we attempt to interpret data, I have updated it for my column today. “Teen Use Turns Upward” read the headline for a graph…
Data Mining Without Prejudice
MIT News
The information age is also the age of information overload. Companies, governments, researchers, and private citizens are accumulating digital data at an unprecedented rate, and amid all those quintillions of bytes could be the answers to questions of vital human interest: What environmental…
Incorporating ‘People Improvement’ in Lean Six Sigma Initiatives
James Brewton
Lean Six Sigma has proven itself as an effective strategy for business success in both private and public sectors. The methodology has helped enterprise leaders recognize business processes as engines that drive performance excellence and help to deliver value. Lean Six Sigma offers a…
Three Dangerous Statistical Mistakes
Eston Martz
It’s all too easy to make mistakes involving statistics. Statistical software can remove a lot of the difficulty surrounding statistical calculation, reducing the risk of mathematical errors, but correctly interpreting the results of an analysis can be even more challenging. A few years ago,…
Quality Pro Salaries Keep Pace with Inflation
ASQ
(ASQ: Milwaukee, WI) -- The results of ASQ’s 25th annual Salary Survey show strong average salaries for quality professionals in 2011 and fewer lay-offs as companies continue to see the value of quality and its positive impact on an organization. The survey results also show that experience…
What Is Chunky Data?
Donald J. Wheeler
Many times measurements are made using measurement increments which are too large for the job. Fortunately this problem is easily detected by ordinary, production-line process behavior charts. No special studies are necessary; no standard parts or batches are needed. You simply need to…
An Introduction to Lean Manufacturing
FARO
In production plants across the globe, lean manufacturing techniques are being used to meet increasing demands placed on manufacturers. Originally developed as a methodology to make production processes highly efficient, lean techniques have been adopted by more than 72 percent of machine shops…
Using Lead Time Data from Discontinuous Processes
The teaching of lean concepts is typically tuned to continuous processes: Day in, day out, value flows continuously from suppliers until the final product reaches the customer. The concepts of lead time (the time it takes individual “flow-units” to travel through a process), Takt time (the…
Working with Rare Events
Donald J. Wheeler
From the perspective of data analysis, rare events are problematic. Until we have an event, there is nothing to count, and as a result many of our time periods will end up with zero counts. Since zero counts contain no real information, we need to consider alternatives to counting the rare…
Babe Ruth and Binary Logistic Regression
Steve Moore
The quote “Baseball been berry, berry good to me” comes from one of my favorite Saturday Night Live skits from the late 1970s. Garrett Morris played Chico Escuela, a retired Hispanic baseball player who knew very little English. His pat answer for most questions—“Baseball been berry, berry good…
Six Leadership Habits for Effective Tiered Meetings
Mark R. Hamel
Regular tiered meetings are a staple of any company’s lean management system. The quick stand-up meetings represent part of the daily accountability process which, when combined with leader standard work and visual controls, provide the foundation for sustaining gains, rigorously practicing…
Planning the Research Study: Part 2
Steven Ouellette
Let's face it—many industrial researchers, including Six Sigma Black Belts, do a terrible job of planning the research they need to do to perform their jobs efficiently. See that guy over there? Yeah, he is the one I am talking about, so you should read this article so you can help the poor…
Making and Interpreting Run Charts
John Flaig
A run chart is a graphical display of data over time. Run charts are used to visually analyze processes according to time or sequential order. They are useful in assessing process stability, discovering patterns in data, and facilitating process diagnosis and appropriate improvement actions.…
Problems with Skewness and Kurtosis,
Part One
Donald J. Wheeler
With the use of statistical software, many individuals are being exposed to more than just measures of location and dispersion. In addition to the average and standard deviation, they often find some funny numbers labeled as skewness and kurtosis. Since these numbers appear automatically, it is…

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