Home
>
Strategic Planning
>
The Six Sigma Method and Design of Experiments

The Six Sigma Method and Design of Experiments

Six Sigma is becoming a proven approach for businesses and organizations to improve their performance. The spectrum of companies actively engaging in Six Sigma today is wide from industrials like Celanese, Caterpillar, GE, Honeywell, and 3M to service/retail organizations like Starwood Hotels, Sears, and Home Depot. Six Sigma has even started in the financial industry with Bank of America and JPMorgan Chase initiating major deployments in the past two years. Probably the most exciting area is in the public and healthcare sectors with success stories emerging from city government and John Hopkins Medical.

So what is all this excitement about? Haven't these quality tools been around for years? Is it just the fact that people have strange names like Champion, Green Belt, Black Belt and for the chosen few, Master Black Belt? Okay, if it is not the names then what? Six Sigma's success revolves around the fundamental elements needed for any successful organization. Six Sigma starts with a vision of delivering products and services to customers with no defects from the eyes of the customers. For companies it is vital to deliver these products and services at a profit. Once the organization has created their own vision of Six Sigma, the business leaders need to define their organization's objectives in numerical terms. These "high-level metrics," often called big Y's in Six Sigma, are the foundation for identifying project y's that Six Sigma Belts will execute projects on. With big Y's in hand, business leaders called Six Sigma "Champions" breakdown these organizational level Y's into smaller y's a project leader called a Green Belt or Black Belt can work from.

So what's next, do business leaders take a hands-off management by objectives (MBO) approach of, "I don't care how you do it as long as you get results!"? For Six Sigma organizations the answer is a loud "NO." Champions do care how projects are executed and have appointed highly trained Master Black Belts to assist and mentor project leaders in applying the Six Sigma method to manage their projects. I believe this is the key to Six Sigma's success. In a past life I participated in a high-level meeting with executives from the world leader in the production of a product we all know. The purpose of the meeting and visit was to evaluate a critical new product design. All of the high-tech executives were dressed in dark Italian business suits complemented with gold and diamonds. I listened closely to each question these executives asked. I never once heard "how much?", "when?" or even "why?" ? every question was "by what method?." Methodology is what Six Sigma is about.

Six Sigma Methods

There have evolved two key methods for carrying out Six Sigma projects. The first method is the most well-defined and works best if you have a problem with an unknown solution in existing products, processes or services. This method is called DMAIC or Define, Measure, Analyze, Improve and Control. The newest method, which is in the developing stages, is called Design for Six Sigma or DFSS. The goal of DFSS is to develop a new product, process or service that is defect-free in the eyes of the customer. A number of consulting companies have invented roadmaps for DFSS like IDOV (Identify, Design, Optimize and Validate) and DMADV (Design, Measure, Analyze, Design and Verify).

Six Sigma and Design of Experiments

Once an organization has decided on the method and the project y's, Belts are marched off to training "waves" bringing management-approved projects to class. DMAIC Green Belt training is normally two one-week sessions separated by one month. Black Belt training waves are extended by two additional months with two more weeks of training. The emphasis during the extended two weeks of Black Belt training is often on learning more details about advanced tools such as Design of Experiments (DOE).

So where does Design of Experiments fit into Six Sigma? Six Sigma is about understanding and controlling the variation of key process variables known as inputs or x's in order to obtain improved results on project outputs or y's. In Design of Experiment terms these inputs or x's are often referred to as factors and the outputs are referred to as responses. In nearly all Six Sigma projects the relationship of the project y's takes on the form of y=f(x1,x2,...xn). Wait a minute, isn't this what Design of Experiments is all about? Of course, for almost 100 years Design of Experiments has been proven to be one of the best known methods for validating and discovering relationships between responses and factors. In Six Sigma terms it is discovering the relationship between outputs called y's and inputs called x's. Today's Six Sigma Belts are primarily taught to focus their use of Design of Experiments in the Improve phase of DMAIC and the Optimize phase of IDOV. For DMAIC Six Sigma training the most common experimental designs taught are factorial and fractional factorial designs. Some curriculums introduce response surface designs and optimization designs at a high level. DFSS includes the experimental designs taught in all levels of DMAIC training and often expands to include the concept of robust designs. As an alternative to the classical approach, there are also a number of consulting companies teaching Taguchi designs as the preferred method for robust design.

Final Remarks

Six Sigma looks as though it is here to stay and even in today's slow economy one of the few areas where there still are a number of new positions. The Six Sigma process is a great step toward creating learning organizations with its well-defined roadmaps and management structure. As with most new methodologies Six Sigma will mature and grow as it expands into new areas such as DFSS. As Six Sigma professionals learn more about the power of properly planned experiments, Design of Experiments will be integrated into most phases of the Six Sigma roadmap and not just considered an advanced tool for the improvement and optimization phases. Experienced practitioners of statistical methods like Design of Experiments should learn the language of Six Sigma and help integrate new methods into the Six Sigma process to improve its effectiveness.

Peter Peterka is the leading consultant for 6sigma.us. Peter has eleven years of experience performing as a Master Black Belt, working with numerous companies, including 3M, Dell, Dow, GE, HP, Intel, Motorola, Seagate, and Xerox. You can signup for Peter's 6sigma.us at 6sigma.us.

pet-friendly home cleaners Winnetka ...

In The News:

Michigan's new prison scoring system claims 30% better violence prediction, but Recidiviz says it doesn't actually use AI to classify inmates.

University of Texas at Arlington researchers reveal how AI analyzes public Instagram posts to craft spear phishing emails that feel personal.

VOLTA-AUTODOXER malware uses AI to analyze stolen data and rank victims by potential value, helping criminals target the most profitable accounts.

Daimler Truck's Oregon demos show how a Freightliner Cascadia's automatic emergency braking responds when dummy cars suddenly cross a moving truck's path.

Facebook ads promising to recover stolen funds are targeting scam victims again, and Meta confirmed removing flagged accounts after investigation.

Tesla Cybertruck production is winding down at Gigafactory Texas to make room for Cybercab robotaxi manufacturing, but key questions remain for owners.

Identity theft can hide in phone accounts, medical records and utility bills long before it shows on a credit report. Eight places to check now.

JR East's towering ZIZAI ZX-3 chainsaw robot tackles dangerous branch-cutting along Japan's Koumi Line while a trained operator controls it remotely.

A massive DHS data leak exposed records of over 41,000 employees, revealing links to undercover ICE operations, Palantir tools and AI platforms.

The Fox News AI Newsletter covers the latest artificial intelligence technology advancements, including the challenges and opportunities AI presents now and for the future.

UCLA's PhoneBot turns old Android phones into the brain of a two-legged humanoid robot that walks, follows people and stands up after falling.

A fake Amazon invoice charging $988.18 for an iPad lists the same customer support phone number three times to steer panicked victims into calling.

A handful of food delivery robots from Uber Eats and other platforms have gotten kicked and knocked over in Philadelphia and Los Angeles.

Data broker opt-out forms may not protect your family. People search sites can still expose your info through a spouse's or parent's profile.

Apple's first touchscreen MacBook Pro starts at $2,899 with a PROLED XDR OLED display, but the non-touch M6 model costs $900 less at $1,999.

Black Friday deals are already drawing scammers who use fake delivery notices and gift card payment requests to steal your personal financial information.

Apple's iPhone Duo reportedly outlasted the Samsung Galaxy Z Fold 8 by over three hours in battery tests, but its weight and repair costs raise concerns.

Florida Polytechnic University's Jetson ONE eVTOL police vehicle named Astro still awaits FAA authorization before officers can fly operational patrols.

OpenAI's new locked chats feature lets you protect ChatGPT conversations with a PIN, Face ID or Touch ID, but there are key privacy limitations.

A phishing email disguised as an Evite fooled a man even after he emailed his friend to verify it, revealing how compromised Gmail accounts aid scams.

Microsoft's AI diagnostic system identified 83% of complex medical cases in a study, more than doubling the 36% accuracy of generalist doctors.

Account takeover threats go beyond stolen passwords as criminals exploit session cookies, SIM swaps and MFA fatigue to bypass your login security.

SpaceX is reportedly pursuing access to 80,000 cell sites to turn Starlink into a major wireless carrier rivaling Verizon, AT&T and T-Mobile.

Tech advocacy groups warn that foreign nationals at AI companies like OpenAI and Google pose a national security threat amid a lack of federal oversight.

Singapore researchers built the world's first touchscreen woven into clothing, surviving 50 machine washes while displaying images and responding to touch.

The Six Sigma Method and Design of Experiments

Strategic Planning