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One Factor At a Time (OFAT) Experimentation
One Factor At a Time (OFAT)
One Factor At a Time (OFAT) is a problem solving technique to identify the critical causes for an effect from a pool of potential causes. The approach adopted is to change one cause, ceteris paribus i.e. while keeping everything else (all other causes) constant. Hypothesis testing is the most commonly used tool for OFAT.
Design of Experiments (DOE)
Design of Experiments (DOE) is a problem solving technique to identify the critical causes for an effect from a pool of potential causes. The approach adopted is by changing multiple causes at the same time. In addition to identifying the critical causes, DOE can also be used to optimize the problem to achieve a desired outcome
An application-oriented question on the topic along with responses can be seen below. The best answer was provided by Mohamed Asif & Natwar Lal on 05th July 2019.
Applause for the respondents - Mohamed Asif, Natwar Lal
Question
Rupinder N
Q. 173 What are the key differences in OFAT (One Factor at A Time) testing and DOE (Design of Experiments)? Share examples to explain. What are the advantages of one over the other?
Note for website visitors - Two questions are asked every week on this platform. One on Tuesday and the other on Friday.
3 answers to this question
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