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MBB Consulting™ - Design of Experiments (DOE) Training In Portland, OR

Design of Experiments (DOE) Training In Portland, OR

Design of Experiments (DOE) Training
Portland accesses the Pacific Ocean via the Columbia River. DOE training shows Portland 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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available
facility match
CityPortland, OR

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, Portland 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.

Portland

City of Roses

Excellent choice! In the shadow of snow-capped Mount Hood, Portland is Oregon's largest city and known for eco-friendliness, bridges, biking, microbreweries, and coffeehouses. Portland began as a transportation point for goods especially timber. WWII spurred ship building. And technology migrated in helping Portland become the youthful and educated city it is today.

Portland
SUMOTUWETHFRSA
Portland, OR
Credit: Agape Voyage

Facility

Portland Design of Experiments (DOE) Training is delivered only a few hundred feet away from the Willamette River in Sellwood Riverfront Park.

Testimonials

Read what our students and clients have to say.

Kharina S.
Kharina S.
Manufacturing Engineer
Medical


Class was very informative. The DFA worksheet was extremely helpful. The hands on activity was good and it was fun being able to practice what we were learning with our teammates.



Natalia M.
Natalia M.
Gas Phase Laboratory Technician


I have been working at this company for 7 years. Every year, the leadership encourage each staff member to stive in their individual roles to help the company achieve its goals. The methods we went through in this FMEA class felt like the first concrete, clear path any / each individual throughout the company hierarchy could use to measurably do this.