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MBB Consulting™ - Design of Experiments (DOE) Training In Omaha, NE

Design of Experiments (DOE) Training In Omaha, NE

Design of Experiments (DOE) Training
Between the Platte and Mississippi Rivers, Omaha is known for Lake Manawa, unusual laws, TV dinners, and Reuben sandwiches. DOE training shows Omaha students the nuclear option root cause analysis technique.
Price $349
Duration 1 day
Format In-person, instructor-led slideshow with exercises and a quiz to test comprehension.
Materials Each student will receive a 3-ring binder containing print-outs of the slideshow. Assuming satisfactory quiz results graded a few days after class, each student will receive a Certificate of Completion.
Class Size5 - 10 students
Start Day
SUMOTUWETHFRSA
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CityOmaha, NE

Recommended Dates

The following dates are recommended because they have a low minimum student requirement, or students are enrolled but not yet enough to hold a class. Please choose a date for your Design of Experiments (DOE) Training class. Dates are formatted as year-month-day:


All 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, Omaha 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.

More Cities

If Omaha won't work for you, don't worry. MBB Consulting™ also offers Design of Experiments (DOE) Training in the following recommended cities plus many more:

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Houston

Houston, TX

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San Antonio

San Antonio, TX

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Austin

Austin, TX

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Nogales

Nogales, SO

Omaha

River City - Gateway to the West

Excellent choice!

Omaha
SUMOTUWETHFRSA
Omaha, NE
Credit: Midtown Realty & Management

Facility

Omaha Design of Experiments (DOE) Training is delivered at Landmark Center just west of I480's Douglas St. exit. Our site is walking distance from Heartland of America Park, Conagra Lake, and the Missouri River.

Maps of Nearby

The following links will open in new tabs so you don't lose your place in the pre-registration process. When you're done checking out all the cool stuff around Omaha, return here to choose a date for your Design of Experiments (DOE) Training class.

Testimonials

Read what our students and clients have to say.

Kieran C.
Kieran C.
Senior Research Engineer
Energy

I strongly recommend MBB Consulting's 5S for others.


Laura A.
Laura A.
Process Engineer
Chemical Manufacturing

The Measurement System Analysis Class was a very interesting AND fun, with multiple activities to aid in learning the concepts and how to apply them to real-world examples.