ISO/TR 29901:2007
Selected illustrations of full factorial experiments with four factors

Standard No.
ISO/TR 29901:2007
Release Date
2007
Published By
International Organization for Standardization (ISO)
Status
Replace By
ISO/TR 29901:2007/cor 1:2009
Latest
ISO/TR 29901:2007/cor 1:2009
Scope
This Technical Report describes the steps necessary to specify, to use and to analyse 24 full factorial designs through illustration, with five distinct applications of this methodology. Depending on the application, a number of factors other than four may be considered in the experiment. NOTE 1 Each of these five illustrations is similar in that sufficient resources were available to implement the design. Other commonalities among the five examples are noted (e.g. study objective, two levels for factors, response variable(s), factors effecting the response). The individual illustrations have some salient features that are distinct such as presence/absence of repetitions, centre points, interactions, or different types of response variables. Each illustration takes place in a different environment such as marketing, software, manufacturing, telecommunications and chemical processing. NOTE 2 For the purposes of this Technical Report, the selection of four factors with two levels (aside from centre points) was made in advance. Furthermore, the detailed use of response surface designs as a follow-up or augmentation of the existing designs was excluded from this Technical Report, although their use is noted in some of the illustrations. Likewise, Taguchi designs and blocking designs were not included. NOTE 3 Full factorial experiments are often employed by individuals (so-called “black belts” or “green belts”) associated with Six Sigma methods. Six Sigma methods are concerned with problem solving and continuous improvement. A full factorial experiment with four factors is one of many tools available to Six Sigma practitioners, but hitherto has not been addressed in detail in ISO International Standards.

ISO/TR 29901:2007 history

Selected illustrations of full factorial experiments with four factors



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