datetime_now =2025-04-20T11:25:53
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MBB Consulting™ - Design of Experiments (DOE) Training In Detroit, MI

Design of Experiments (DOE) Training In Detroit, MI

Design of Experiments (DOE) Training
Detroit is recovering as US automakers regain their strength. DOE training shows Detroit students the nuclear option root cause analysis technique.
Price $349 / student assuming min. enrollment is met
Duration 1 day
Format In-person, instructor-led slideshow with exercises ending in a test of comprehension.
Materials Each student will receive a 3-ring binder containing color print-outs of the slideshow. Please note, this material and the presentation itself are copyrighted. A Certificate of Completion is released for each student who passes their test and for which payment for the training clears.
Start Day
SUMOTUWETHFRSA
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facility match
CityDetroit, MI

Recommended Dates

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About Design of Experiments (DOE) Training


Who is Design of Experiments (DOE) Training for?

Design of Experiments can be used by anyone wanting to improve a service, process, or product. If the situation can be represented or modeled as a system with an output driven by inputs all of which can be measured, and inputs can be set at different levels, then DOE training is for you. In our course, Detroit students learn:

Design of Experiments (DOE) Training Course Overview:

DOE training explains Design of Experiments - the strongest root cause analysis technique ranking a problem's causes & fastest way to optimize. We regard Design of Experiments (DOE) as the most powerful root cause analysis tool in the world. Our Masters have used DOE to produce 6-digit per year savings many times across a broad range of industries and applications. It's definitely worth adding to your arsenal. DOE can optimize product design when seeking to improve some performance criteria influenced by component dimensions or general features. By setting these features to varying, measurable levels, their relative influence on the response and preferable settings can be determined. Similarly, DOE can optimize process design when seeing to improve a process output influenced by process inputs. Even soft inputs like shift A,B,C can be used. Defect rate is commonly the process output, but many others such as operating cost can be used. From a service perspective, employee satisfaction would be an HR example. To domenstrate this, our class uses a fun case study providing a real, physical system allowing students to actually experience how DOE works. Advanced topics such as fractional factorial arrays, multi-level factors, Taguchi arrays, etc. are covered. Statistical software such as Minitab or SigmaXL is also used.

Detroit

Motor City

Excellent choice! After Design of Experiments (DOE) Training in Detroit, enjoy a game at Comerica Park, choose from several museums, stroll the riverwalk, marvel at the Guardian Building's architectural splendor, and more.

Detroit
SUMOTUWETHFRSA
Detroit, MI
Credit: Andrea_44

Facility

Detroit Design of Experiments (DOE) Training is delivered downtown in the Renaissance Center.

Testimonials

Read what our students and clients have to say.

Lance S.
Lance S.
Quality Inspector
Aerospace


I strongly recommend MBBC's GD&T training to others.



Ben Aldridge
Ben Aldridge
Field Service Support Admin
Energy


I had the pleasure of working with our Master Black Belt at our energy tech firm. There, he created an internal mentorship and training program to teach lean/six sigma concepts. The training was made available to employees spread both horizontally and vertically throughout the organization. Executives, managers, assemblers and receptionists alike were soon finding and eliminating waste within their workday. This divide-and-conquer philosophy in executing the continuous improvement program was not only an incredibly efficient way to find and implement cost savings, but also created a culture of empowerment within our organization. Our MBB encouraged all of his students to use these techniques to add value to the organization, in-turn making them more valuable employees.