datetime_now =2024-04-19T06:49:57
datetime_class =2024-05-03T00:00:00
datetime_diff =84672000
MBB Consulting™ - Design of Experiments (DOE) Training In Tucson, AZ

Design of Experiments (DOE) Training In Tucson, AZ

Design of Experiments (DOE) Training
Tucson is the 2nd biggest city in Arizona. DOE training shows Tucson 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 Size4 - 8 students
Start Day
SUMOTUWETHFRSA
Legend:
unavailable
available
facility match
CityTucson, AZ

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

If none of the recommended dates work with your schedule, that's ok. Please choose a date from the list below:



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, Tucson 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.

Tucson

Old Pueblo

Excellent choice! Tucson means "base of the black (hills)". It began as a fort which was later connected by wagon road to California. After Design of Experiments (DOE) Training, check out Saguaro National Park.

Tucson
SUMOTUWETHFRSA
Tucson, AZ

Facility

Tucson Design of Experiments (DOE) Training is delivered from a beautiful facility allowing students to enjoy views of the city and surrounding mountains. Our Training Center is near a streetcar line, Amtrak, bus stations, Tucson City Hall, Arizona Superior Court, the Tucson Convention Center, and several small shops and restaurants.

Testimonials

Read what our students and clients have to say.

Patrick H.
Patrick H.
Account Manager
Automotive


Our MBBC trainer was very knowledgeable and informative in every area. The training was great for people with little to no experience or those with some experience already. He catered to what we previously knew about ISO/IATF. The course allowed me to practice my own skills which I liked most because you don't learn without trying. You also don't know what you don't know so having an instructor with all his experience / expertise helped foresee possible issues we may run into in the future so we are equipped to handle those.



Nick P.
Nick P.
Mechanical Engineer
Machinery


I had extremely limited knowledge of GD&T before this course. I learned a lot in a strong course that allowed room for questions, example, and provided the space to learn the course material to the best of my ability.