Steve Hunt, LSSBB

Steve Hunt, LSSBB
Whether in DMAIC, Design for Six Sigma (DFSS), Lean projects, or Design of Experiments (DOE), uncertainty and variability lie at the core of any Six Sigma analysis. I'm interested in how Monte Carlo simulation can be used to identify, measure, and root out the causes of variability in production and service processes and designs.

The State of Six Sigma and Process Improvement

Tuesday, February 2, 2010 by Steve Hunt
Two weeks ago, I attended IQPC’s (International Quality & Productivity Center) Lean Six Sigma and Process Improvement Summit in Orlando, Florida. During the past 4 years, I have watched the conference, the attendees, and their projects evolve. The IQPC did an excellent job keeping the quality of the conference at an A+ level despite wrangling with the effects of a down market and near zero travel budgets for many companies. This conference has earned it place as one of the premier Six Sigma events of the year.

With attendance numbers on par with last year (which are only slightly down from a few years ago), the major difference that I noticed was the attendees' passion. As the economy has worsened and media’s perception of Six Sigma waned, practitioners and champions are more passionate and committed now than ever. Perhaps it’s because they still have jobs and their companies understand the value of cost reduction in both their processes and product/ process development programs. They - and the companies who employ them - have every right to be excited and passionate because they are making positive changes to their organizations that will hopefully lead them to recovery and stability faster than others.
 

Many companies, large and small, represented practically every industry. Farmers Insurance and Capital One were two representatives from the insurance and banking industries. Technology and pharmaceuticals were well represented by Seagate, Motorola, Merck and Johnson & Johnson. In addition, the energy sector was well represented, as were the military, aerospace and services sectors. (If you want a complet list of companies attending, it may be available at www.sixsigmaiq.com)

The overriding message heard over and over again, was, “We need to make your Six Sigma deployments stick.” Initially, I found this to be an interesting message since it came from a group of many highly intelligent and motivated individuals who were obviously very successful in doing just that: “Making it Stick”. This message serves as a clarion call for all of us. We need to look for new tools, philosophies and approaches to make our improvement initiative better and “stickier” so that they can pass the test of time.

The highlight of every year is the awards ceremony. There were many great projects honored this year, and congratulations to the winners and everyone who submitted their projects! At the awards ceremony I had the pleasure to meet a great group from the Bahamas Telecommunications Company. They are the pioneers for Lean Six Sigma for their company. (I tried to get them to need an onsite training session in some of the Palisade tools, but have been thus far unsuccessful!) Good luck on your Six Sigma Journey, I hope to see you accepting an award next year!

Free Webcast This Thursday: “Lean Six Sigma: History, Trends and Predictions”

Wednesday, January 6, 2010 by Steve Hunt
On Thursday, January 7, 2010, Ed Biernat will present a free live webcast entitled. "Lean Six Sigma: History, Trends, and Predictions."

Lean and Six Sigma have been buzzwords for more than a decade. Some companies have thoroughly embraced the concepts and toolsets, others have dabbled, and the rest sit on the sidelines wondering, to borrow a phrase from a television ad from the ‘80’s, “Where’s the beef?”

In this interactive webcast, we will briefly review what these strategies entail, who is using them and how, and then we’ll put on our prognosticator’s hat take a look at what the future may hold in store. We will review some of the latest “buzz” on the topic as well as recent research aimed at how well these methodologies are moving off the shop floor into wider application.

Ed welcomes any questions regarding Lean, Six Sigma, or the “new and improved” Lean Six Sigma. Although we will be focusing on the implementation side of the equation, (including the use of Palisade software), the discussion can be as free-ranging as the participants require.

Edward Biernat is the president of Consulting With Impact, Ltd., a training, coaching, and consultancy located in Canandaigua, NY that he founded in 1998. CWI’s client list includes companies ranging from the Fortune 100 to post-startups in the medical device, food and food packaging, steel, automotive, healthcare, and service sectors. He is a graduate of Clarkson University with bachelor degrees in Mechanical and Electrical Engineering, and has held positions in engineering, quality, and management at several New York companies. He is the author of numerous training programs and articles, and has presented at national and international events including the Institute of Industrial Engineers’ Annual Conference and the European Organization for Quality in Brussels, Belgium. Ed also developed part of the curriculum for and presents at the Lean Six Sigma Black Belt certification course at a local college.


» Register now (FREE)
» View archived webcasts

25 Worst Tech Products

Monday, November 30, 2009 by Steve Hunt
A friend and colleague who knows I write a Six Sigma blog sent me a link to an older article on PC World, The 25 Worst Tech Products of All Time that he thought might applicable to Six Sigma.

As first blush, I thought, “What an article on PCWorld.com on the Worst Tech products would have anything to do with Six Sigma?”  The answer . . . everything! Particularly after reading the piece, the number 1 or worst product of all time (in their eyes) is American Online. I agree AOL has had its difficulties, but one has to admit the service has had staying power despite this. It’s been around for 20 years, which is a lifetime in the computer world. I don’t know if they utilized Voice of the Customer (VOC) , but they did something right since they are still around.  

The article mentions AOL had shown improvements over the previous years. This goes to show us, they had a good idea, but took many years to sort out the bugs and for them to position themselves correctly.  At the time of initial development they probably didn’t utilize Design for Six Sigma or another Critical Parameter development methodology, but it appears they may have implemented Lean Six Sigma principles to improve their “inexcusably poor customer service,” “inaccessible dial-up numbers,” and what I’ll call “flawed billing practices.” Please know I am not necessarily agreeing with the article, or being an advocate for AOL, I’m simply pointing out how the company has appeared to have improved its product and service over time.

One can only hope and assume that companies are doing a better job up front vetting their ideas, products and designs . . . with sound initiatives such as Design for Six Sigma.  If not, hopefully we won’t seem the on PC World’s next “worst of” list.


If you would like to learn more about Design for Six Sigma, May I recommend either of these two free webinars:
  1. Accelerating Product Design with Simulation and Stochastic Optimization by Andy Sleeper of Successful Statistics
  2. DFSS-based Design Optimization using Design of Experiments and @RISK by Jeff Slutsky Global Director of DFSS for Bausch & Lomb.
     

Six Sigma, Monte Carlo Simulation, and Kaizen for Outsourcing

Friday, November 6, 2009 by Steve Hunt

I recently tripped over a very good and interesting article written by Marcia Gulesian, titled Six Sigma, Monte Carlo Simulation and Kaizen for Outsourcing.

Despite its seemingly complex title, the article touches on the basics of Six Sigma and decision analysis where Six Sigma basic quantitative calculations are discussed - such as process capability calculations (Cp, Cpk) are used in an example for the outsourcing of a critical component. The example utilizes a Monte Carlo Simulation a model to illustrate her point.

The example model simulates the outsourcing of a critical component to 3 different vendors, and demonstrates the critical information that a Monte Carlo Simulation model can provide to make informed decisions regarding cost, volumes, supplier capabilities and internal resources. As we all know, having multiple vendors is necessary, but knowing how to distribute your demand across them and knowing the risks and costs involved is critical.

If you would like to experiment with the model, you can download it,  But please know you'll need @RISK to run it, you download the @RISK free trial to run the simulation.

The over-arching topic of the article is that any process can be scrutinized for variation and cost reduction, and in my opinion should be. Companies will continue to outsource more and more so that they may focus on their core competencies. But as this happens, it becomes more imperative that a sound strategy is used to manage the potential outcomes.

I’m very happy to have found this article. Maria obviously understands the power and value of Six Sigma and Monte Carlo Simulation and look foward to future articles from her. 
 

Wine Aficionado? Six Sigma expert? or both?

Tuesday, October 27, 2009 by Steve Hunt


I’ve heard of Six Sigma being used in every industry from manufacturing, banking, even baking, but now  . . . wine making?

Just the other night I found out a winery is using Six Sigma principles to ensure they are producing the highest quality wine available.
 
Yes, that’s right . . .  Six Sigma Ranch and Vineyards have combined the old-world art of wine making with the science of data driven Six Sigma principles.  Why not! Isn’t the origin of Design of Experiments from the agricultural world? That’s where (is that right?) RA Fisher introduced the concepts of replication, randomization, blocking and devise analysis of Variance to separate the sources of variation in the 1920s.

How many times have we read the reviews from a single winery, how some years are better than others, etc., and wondered why they can’t make the quality more consistent? Why not apply Six Sigma to wine making?

I think it makes perfect sense!

Six Sigma Ranch and Vineyards is applying Six Sigma principles in all stages of the process:

  • Conduct extensive analyses of soil, water and climate to find the most favorable sites for our vineyards.
  • Choose rootstocks that thrive best in the soil composition of a given vineyard.
  • Meticulously prune vines to enhance the quality of grapes and to allow consistent ripening.
  • Apply chemical and sensory analyses to pick the grapes at just the right time to produce optimal flavor in the wine.
  • Listen to the voice of the customer - whether you are a sophisticated wine drinker with well-defined preferences, a social wine drinker who knows what you like and wants the security of consistency, or you just want a good place to start
The use of Six Sigma in all business process makes good sense. There is talk that Six Sigma is dead, and that people are waiting for the next big thing. The truth of the matter is no matter how you repackage the tools, these tools will be around for decades, because good decisions are based on data analysis and that should never go away.  My only hope is that they are using @RISK  to analyze their data to make even better decisions.

The next time I am in California or the local wine store, I’ll have to investigate this further.

Have confidence in your analysis!

Monday, September 21, 2009 by Steve Hunt
Confidence intervals are the most valuable statistical tools available to decision makers, and according a recent Six Sigma IQ article written by Dr. Andrew Sleeper of Successful Statistics, they are not being used as frequently as they should. Sleeper’s article  Have Confidence in Your Statistical Analysis!: Learning How to Use Confidence Intervals does an excellent job illustrating why point estimates are useless for making decisions, and how to determine what is the best confidence interval to use. Is it 90%, 95%, or some other value?

The article does not discuss how to calculate confidence intervals, since widely available software (for example, Palisade’s @RISK and StatTools) automates this task. Formulas and calculation methods are well documented in many books.

One example that Dr. Sleeper uses to illustrate his point: Suppose the CEO has decreed that we need CPK to exceed 1.50 for all critical characteristics. If I measure a sample of parts and announce “CPK is 1.63,” this sounds like good news. But then you ask a really good question: “How large is the sample size?” If you discover the sample size was only three, should you be worried? What if you discover the sample size was 300?
We have to make a decision about the capability of the population, but once again, the point estimate is not enough information by itself to make this decision. It is another useless number.

Instead, suppose I said “I am 95 percent confident that CPK is at least 1.52.” Or I could say “I am 97 percent confident that CPK is at least 1.50.” Either of these would be a true statement. And since sample size is used to make these calculations, they provide all information necessary to make the business decision.
These one-sided confidence intervals are often called lower confidence bounds, because the upper limit of each confidence interval is infinity. In the case of CPK, we usually don’t care how large it is, so a lower confidence bound is more appropriate than a two-sided confidence interval.

Because they are single numbers, point estimates are almost always above or below the parameters they are supposed to estimate. Without additional information, point estimates are useless for making decisions. But confidence interval estimates are very likely to be true, and the confidence level specifies and controls the probability that the interval estimates are true. Since properly applied confidence intervals incorporate sample size and other tested assumptions, these are reliable tools to make business decisions.

In addition to this article you can find alot of great information at Six Sigma IQ 


 “A point estimate by itself is just another useless number.” – Andy Sleeper, 2009

Bausch & Lomb’s Global Director of DFSS Gets Our Focus

Wednesday, September 2, 2009 by Steve Hunt


As part of Palisade’s membership in the ISSSP, we get to participate in what are called Focused Sessions. For these webcast-like sessions, we are sponsors and exert no editorial control over their content . . . but we decide who the speaker is.

So we’ve decided to put the attendees in good hands! Jeff Slutsky, Global Director of Design for Six Sigma for Bausch & Lomb, will be giving a presentation on September 17th called Probabilistic Project Estimation Using Monte Carlo Simulation.

Registration for the event through the ISSSP is free. This presentation will feature @RISK for MS Project. If you ever wanted to find out more about @RISK for Project in Six Sigma and project estimation, this would be a good venue.

Last summer Jeff presented an excellent free live webcast: DFSS-based Design Optimization using Design of Experiments and @RISK. This is also something that can be viewed for free.

As for recommended reading in the future, Jeff is also the coauthor of Design for Six Sigma in Technology and Product Development. I'd highly recommend it, it is an excellent resource that is often used as the corner stone in many DFSS and Critical Parameter Management courses
 

Consulting With Impact, Webcast with StatTools

Wednesday, September 2, 2009 by Steve Hunt

Ed Biernat’s Consulting With Impact recently used Palisade’s StatTools in a two-week training session for Six Sigma Green Belt candidates as part of their certification.  Ed said the response from the candidates was very positive, so he decided the software tool would be a good addition to all his Green Belt training. Also, he thought it would be a good subject of a Palisade Free Live Webcast.

So on September 3rd, please join Ed for his StatTools and Six Sigma. This session will cover the attributes in StatTools that apply to Six Sigma, with examples from Ed’s recent training session for his Green Belts. Registration for the webcast is free. Also, the webcast will be archived and viewable by anyone at anytime for free.

But why StatTools? "It’s a flexible, powerful statistics tool," Ed says. "The Green Belt students were able to jump right in with it!" Of course the Green Belt Candidates have some body of knowledge that made them ready users of the tool, perhaps we’ll have more knowledge too, after Ed’s webcast. And even though I know a lot about it, I’ll be there!

Accelerating Product Design with Simulation and Stochastic Optimization

Tuesday, August 4, 2009 by Steve Hunt
Andy Sleeper, President of Successful Statistics LLC, will present a case study at the 2009 Palisade Conference: Risk Analysis, Applications, & Training. The conference is set to take place on 21 - 22 October at the Hyatt Regency in Jersey City, 10 minutes by PATH from Manhattan's Financial District.

See the abstract for Mr. Sleeper’s case study below, and see the full schedule for the Conference here.

Accelerating Product Design with Simulation and Stochastic Optimization

The key to successful new product development is to anticipate and prevent problems before they happen. Design For Six Sigma (DFSS) is a system of risk-prevention tools used by world-class companies to launch new products of the highest quality, in the least time, and at the lowest cost. Simulation and optimization tools are among the most powerful DFSS tools, allowing engineers to prevent performance and capability problems before the first prototypes are built. What once required months or years to discover now takes only minutes to prevent.

This case study demonstrates a suite of tools every engineer must know to be competitive:
  • Deterministic optimization prevents performance problems
  • @RISK Monte Carlo simulation identifies capability problems and improvement opportunities
  • RISKOptimizer stochastic optimization prevents capability problems

» Register now for the 2009 Palisade Conference in NYC – Save $200
» See the full schedule

Six Sigma – Instant Gratification?

Friday, June 12, 2009 by Steve Hunt

Yesterday I had an interesting conversation with a colleague who is a Six Sigma and DFSS Master Black belt who just returned from Europe where he conducted a Black Belt Training session. He pointed out how much different the Europeans are to the Americans when it comes to their expectations and commitment they show for new initiatives, particularly quality. He said when the European’s decide to introduce a program like Design for Six Sigma, they stick to it, even through the early failures and trials and tribulations. This is in contrast to many American manufacturers, who rattle through process improvement programs and philosophies like subscribing to the book of the month. (I have witnessed this firsthand, unfortunately.)

The moral of the story is do your research and make intelligent decisions on what tools you need to employ to make the necessary improvements to your company, for both its products and processes. Train your employees, implement and stick to it through good and bad. Give it the time and effort to be effective before abandoning it for another program.

Look at these programs as hiring employees - we all know hiring employees is a time consuming and costly endeavor, so by nature we don’t want to rehiring for the same position every month or year.
 

Six Sigma and Call Center Etiquette

Monday, May 18, 2009 by Steve Hunt
A recent article on isixsigma content zone called Delight Customers: Reduce Defects in Service Delivery by Shivprasad Kandiraju deals with Six Sigma practitioners looking at how customer surveys revealed crummy customer service at a call center in India, and how they approached fixing it. The practitioners collected and analyzed benchmarking data from various companies, and data on their call center’s performance. With this information, (and using the principles of Six Sigma,) they were able to make valuable improvements.

The analysis broke things into problem areas they called “Delight Points” - rings to answer, politeness, greeting style, clarity and correct re-routing - and measured the operator’s responses. The interesting thing about this, I can’t recall ever calling a call center in India and having somebody who is impolite on the other end. In fact, the call center staffer may not know what I am talking about, but will deal with the issue with unfailing politeness, and convey a genuine interest in trying to figure out what I’m talking about. Perhaps we should think about the implications of this and India’s future as a global player in the business world, and revisit this the next time we’re on the phone with the local utility company.

Of course a scenario will come up with excellent customer service leading to the problem never being solved. This is not a call for Six Sigma improvement in call center performance, these are problems being created in general at the manufacturing/development level . . . entropy created, perhaps, without following solid Six Sigma practices.

(Also, if you are interested, please click here to see a recording of a free live webcast of Palisade’s DecisionTools Suite as it’s used in call center staffing.)

Modeling in Process Development - Deterministic or Stochastic?

Tuesday, April 21, 2009 by Steve Hunt
Deterministic" and "stochastic" sound like fancy, academic words, but they are vital for everyone in business to understand. Deterministic refers to single numbers, while stochastic refers to probabilities. When modeling a system, a deterministic model uses numerical input values and calculates numerical output values. But a stochastic model uses a probability distribution for each input and estimates a probability distribution for each output. Monte Carlo simulation (@RISK) is the standard tool for stochastic modeling. During Monte Carlo simulation, random values are generated for inputs, and output values are calculated. By repeating this process many times and saving output values, the simulation generates estimates for output distributions.
 
Stochastic modeling and Monte Carlo simulation have become accepted tools in financial professions. However, engineers working on the development of new products have been slow to adopt these important tools, opting instead for deterministic approaches such as worst-case analysis. These deterministic tools answer some questions, but they are unable to predict process capability, which is the key to success in a Six Sigma environment. Monte Carlo simulation is now an essential tool for every engineer involved in product and process development. Stochastic tools can predict and prevent performance and capability problems before the first prototype is built. What once required months or years to discover now takes only minutes to prevent.
 
On April 30th, Andrew Sleeper  of Successful Statistics will be presenting  Accelerating Product Design with Simulation and Stochastic Optimization. Plan to spend hour to learn how to save months in your product and process development projects. It will be time well spent. You can register to attend at www.palisade.com/seminars/webcasts.asp

The Innovation Imperative in Manufacturing

Thursday, March 19, 2009 by Steve Hunt

In a recent report The Innovation Imperative in Manufacturing - How the United States Can restore its edge, produced jointly by The Boston Consulting Group, the National Association of Manufacturers and the Manufacturing Institute, The United States ranked #8 out of 110 countries in innovation leadership.     

The Top Ten List (overall)

  1. Singapore
  2. South Korea
  3. Switzerland
  4. Iceland
  5. Ireland
  6. Hong Kong
  7. Finland
  8. United States
  9. Japan
  10. Sweden


The first half of this report painted a pretty bleak picture for the US.  Among the depressing  statements:
“The United States is losing its distinction as an innovation leader and may be under-investing in the future.”

 “The United States is disadvantaged in several key areas, including workforce quality and economic, immigration and infrastructure policies.”
Some companies are even “moving R & D centers abroad to capitalize on leading-edge talent and lower cost scientists and engineers or to better meet local market needs . . .”

This information is difficult to swallow, but it clearly makes the point:

It’s time for change.

In the article, they actually used the quote “innovate or die!”

Even without the current economic crisis, we know we have issues and challenges at many levels, and if this report helps revitalize our companies and government into action, then all for it.

The second half the report does a nice job detailing what they considered to be the Four Key Factors for Success, which they felt are:

  • Idea generation
  • Structured Processes
  • Leadership
  • Skilled Workers

 
The research feels the US Government plays a vital part in encouraging innovation, and their role is to boost Company payback on innovation through consistent programs, like supporting innovation activities through government-funded laboratories and research labs. Tax credits are also a common way, but this deemed to be more of “thank you” then a motivator, and is often inconsistent from year to year.

Although they stated that some recommendations were beyond the scope of the report, they suggest the US make concrete improvement in six areas:

  1. Strengthen the workforce
  2. Lead by example
  3. Make innovation easier
  4. Maintain a strong Manufacturing base
  5. Improve the pay back
  6. Be Consistent

Although, I feel there is a lot of good information to be learned from the report, one should keep in mind that the bulk of the information was gathered through a NAM Survey of Corporate members with only ~1000 respondents and a series of 30  one hour interviews with “Senior Executives.” It’s truly hard to know how representative the sample was to the actual population.


To reiterate, we know that innovation, quality and jobs in the US have been on the decline for past years. It’s time to act, Adopt an innovation,  product development,  or quality program such as Design for Six Sigma (DFSS), Design for Lean Six Sigma (DFLSS), Critical Parameter Management, (CPM)or whatever you want to call it, deploy it and stick to it! As I have may have mentioned before, many companies I have worked with who indicated successful deployment really never got off the ground floor.
 

You can read the entire report at www.nam.org/~/media/AboutUs/ManufacturingInstitute/innovationreport.ashx


Palisade Corporation Exhibiting at the ASQ Lean Six Sigma Conference

Monday, February 23, 2009 by Steve Hunt
During these deteriorating economic times, it is more important than ever for organizations to be more vigilant about cutting costs and boosting the bottom line. An option is to instill a Lean and Lean Six Sigma culture when tackling projects to save money. The American Society for Quality (ASQ) is once again hosting the 2009 Lean Six Sigma Conference, March 2–3, 2009, in Phoenix, Ariz., to teach professionals needed skills to take back to their organizations.

Palisade will be on hand to demonstrate the use of Monte Carlo Simulation and to explain the benefits of utilizing @RISK to save time and money in your Lean Six Sigma and Design for Six Sigma projects. If you are planning to attend, please make time to come by to pick up a free trial CD of @RISK and to say hello.

Despite the current state of our economy it appears there will be an excellent turnout for this event. 

Because Palisade Corporation will be exhibiting, our customers can save 50% on their second registration for the conference. Call ASQ Customer Care at 800-248-1946* and use priority code CEJDB69 to take advantage of this great savings opportunity and to start making a difference in your organization and career today!   They will fill you in on the rest of the details when you call before Feb 25.

Hope to see you there!

Monte Carlo Simulation: An Underutilized Six Sigma Tool

Wednesday, February 18, 2009 by Steve Hunt
Lean Six Sigma projects are performed in many areas of business. There are a few that require an estimation of future performance when there is no chance to test or evaluate the new process. On February 26, Rick Haynes of SmarterSolutions  will share his expertise in a free live webcast that documents a case where a reliability testing effort provided a reliability model that needed to be extrapolated in order to estimate the total impact on warrantee costs.

The reliability model was developed through a logistic design of experiments. The resulting model was coded into an Excel spreadsheet and then modeled using @RISK to answer questions of future failure percentages. The results were used as inputs to focus on the need for proactive actions by the supplier in order to maintain a good customer experience. In the end, no additional actions were taken by the supplier and business continued with a manageable liability rather than with an unknown future risk

Thank you for your feedback on Six Sigma’s Thirst for Information blog posting. Working with industry experts to develop the webinar series and armed with voice of the customer that you supplied me, we’ve been able to ensure topics are of interest you. So please keep your thoughts coming.

Six Sigma's Thirst for Information and Analytics

Tuesday, January 27, 2009 by Steve Hunt
About Six months ago, Palisade started its Six Sigma Webinar series. We have had many experts in Six Sigma, Lean, and Design for Six Sigma give presentations on topics ranging from DFSS Design Optimization, Using Monte Carlo Simulation in LSS, to Creating a high performance culture. All of these webinar's were hugely successful and highly attended. If you would like to view any of the past archived webcasts please do so, we have them posted for your convenience.

I am excited about the upcoming scheduled free webinars as well as the others that are currently being developed. Knowing that travel and training budgets have been slashed, I wanted to reach out to the community to get a sense of what you'd like to see or learn about in the world of Six Sigma and analytics over the next year. Armed with the VOC (Voice of the Customer - see bog posting on Jan 8th  for more Six Sigma Terminology) and a host of experts, I will work with them to hopefully bring you the topics and discussions that are most important to you. Please send me your thoughts to shunt at palisade.com or comment to this posting.

Experts Share Best Practices for the New Year

Monday, January 12, 2009 by Steve Hunt

Next week, one of the industry’s largest and best events will take place in Orlando, Florida. That is IQPC’s Lean Six Sigma Summit. Every year it is one of the few events that I look forward to attending. The IQPC does a great job gathering industry experts from around the world to share their thoughts, experiences, and wisdom.

This year will be a challenging year for all, so it is particularly necessary to spend travel and education funds wisely, should you be lucky enough to still have a travel budget. If you do, I would highly recommend considering this event.

There will be a cross-functional group of experts such as  William Kimbrell of Blue Ocean Strategy, who will share his growth strategies in today’s over-crowded industries. Tina Huesing of Motorola and JD Sicilia, Director, Department of Defense, Lean Six Sigma Program Office will address the what I call “ Doing more with less. “ Ms. Huesing’s focus will be streamlining processes, timely execution, and waste elimination. Mr. Sicilla’s focus will be on Strategic Alignment, Consistency of Approach, Integration and Human Capital. Also, George Turner of Rock-Tenn will be speaking on professional development.

These topics have always been at the root of Lean Six Sigma but now more than ever they are very important in today’s business climate. I am looking forward to learning from these experts next week at the Summit.

Palisade will be demonstrating the latest and best in Monte Carlo Simulation for Six Sigma. If you are attending, please stop by and say hello! If you don’t attend, please contact me and I will be happy to provide you with a free trial and web demo.
 

Six Sigma Terminologies

Thursday, January 8, 2009 by Steve Hunt

In a recent article called Six Sigma Speak in iSixSigma Magazine, Craig Gygi does a very nice job articulating one of the barriers to Six Sigma, and that is the terminology that we use. We are laden with terms from other languages such a poka-yoke, “same letter lists,” as well as synonyms and acronyms galore.  As he describes, this is caused because each organization that adopts Six Sigma then adapts words to reflect the specifics to their organization’s culture and priorities.
 

To name of few of the more common synonyms in Six Sigma:

  • Output = response = effect = key metric = CTQ (critical to quality) = CTC (critical to customer) = KPOV (key process output variable) = Y
  • Input = variable = factor = KPIV (key process input variable) = X
  • Average = mean = central tendency = expected value
  • Spread = variation = dispersion = range = variance = scatter
  • Variable data = continuous data
  • Attribute data = categorical data = discrete data

The one thing he doesn’t address in the article head on, are the sheer number of acronyms we use. Below I have named just a few:

  • DMAIC = Define, Measure, Analysis, Improve and Control
  • DFSS = Design for Six Sigma
  • GB, BB, MBB, LSSBB etc… which represents some of the levels  of certification one can achieve from GB (Green Belt) to MBB (Master Black Belt) and LSSBB (Lean Six Sigma Black Belt) please don’t forget some of the others such as LSSMBB, DFLSSBB etc…
  • VOC = Voice of the Customer
  • DOE = Design of Experiments
  • DFMEA = Design Failure Mode and Effect Analysis
  • MSA = Measurement System Analysis

To add to the list are the process capability and statistical acronyms such as Cp, Cpk, Pp, PpK, ANOVA, ANOM, DPPM etc . . . As we all know this is a very small example of the special terminology that we have either created or adopted over time. It’s no wonder that the people outside of the Six Sigma world are intimidated and bewildered before they even get into learning the tools to develop or improve a process.
 

Craig Gygi is also the co-author of Six Sigma for Dummies which I have to admit was one of the first Six Sigma books I purchased when trying to make sense of it all.
 

Lastly, I learned a new acronym on iSixSigma.com while writing this post, BAU (Business as usual.) I don’t know if it’s truly a LSS term but what the heck!
 

High Gas Prices . . . Unforgettable?

Friday, January 2, 2009 by Steve Hunt

Just a couple of months ago when gas cost over $4/gallon, Americans were scrambling maximize their fuel economy and buying hybrid electric vehicles to save money, cut our dependency on foreign oil, and to save the earth. At that time, a very wise friend said, “Wait and see, gas prices will come back down and we (Americans) will forget all about it.” What happened over the next few months is exactly as he predicted. If it were not for the domestic automakers being on the brink of economic collapse, there would not have been any recent talk of innovation, reform, or the need for more efficient automobiles.

As we all know and feel, the gas crunch as been replaced by a much larger and serious worldwide economic down turn that threatens all. There are many speculations to how we got here and even more on how we get out. Lean Six Sigma is a proven methodology to remove waste and variation from our business processes and is receiving a lot of attention to do just that. Many companies are - but many more should - be scrambling to implement a Lean Six Sigma program to save what is left of their businesses. I hope that they will be successful.

Now let’s look ahead 2, 3 maybe 5 years . . . once our economy has stabilized and “returned to normal.” Have the experiences of the past changed us for the better? We will continue to apply sound Lean Six Sigma principles and risk analysis to our business, making them stronger and more efficient. Or will this too fade as a distant memory until the next time?

I do not feel there is not a business or process that would not be benefited by applying the tools  and principles of  Lean Six Sigma in many  aspects of their businesses. Let us use this opportunity as a catalyst for business and government reform and increased efficiencies in order to provide the best products and services for our customers, and to avoid a repeat of the current state of affairs.