Taguchi introduced the concept of split-unit design to sort factors into different groups with respect to difficulties involved in changing the levels of factors. Li et al. have developed all possible group structures for eight factors in an L16 orthogonal array for resolution IV with split-plot design. Chen et al. have searched for a best design, according to the various criteria for two-level fractional factorial design and have presented a catalogue. In this paper, we have developed an algorithm for generating group structure and possible allocations for various 2n-k fractional factorial designs that correspond to the designs given by Chen et al
Most two-level fractional factorial designs used in practice involve independent or fully confounded...
When performing fractional factorial experiments in a completely random order is impractical, fracti...
Most two-level fractional factorial designs used in practice involve independent or fully confounded...
Taguchi (1959) introduced the concept of split-unit design to sort the factors into different groups...
A common problem experimenters face is the choice of fractional factorial designs. Minimum aberratio...
A common problem experimenters face is the choice of fractional factorial designs. Minimum aberratio...
© 2015 American Statistical Association and the American Society for Quality. While the orthogonal d...
clear design This note builds on results from Wu, Mee and Tang‘s (2012) article (henceforth WMT) on ...
<div><p>While the orthogonal design of split-plot fractional factorial experiments has received much...
A fractional factorial design is called a resolution V.2 plan if it is capable of estimating all mai...
A fractional factorial design is called a resolution V.2 plan if it is capable of estimating all mai...
A general approach to studying fractional factorial designs with multiple groups of factors is propo...
Regular two-level fractional factorial designs are often used in industrial ex-periments as screenin...
It is very powerful for constructing nearly saturated factorial designs to characterize fractional f...
Fractional factorial designs are widely used in practice and typically chosen according to the minim...
Most two-level fractional factorial designs used in practice involve independent or fully confounded...
When performing fractional factorial experiments in a completely random order is impractical, fracti...
Most two-level fractional factorial designs used in practice involve independent or fully confounded...
Taguchi (1959) introduced the concept of split-unit design to sort the factors into different groups...
A common problem experimenters face is the choice of fractional factorial designs. Minimum aberratio...
A common problem experimenters face is the choice of fractional factorial designs. Minimum aberratio...
© 2015 American Statistical Association and the American Society for Quality. While the orthogonal d...
clear design This note builds on results from Wu, Mee and Tang‘s (2012) article (henceforth WMT) on ...
<div><p>While the orthogonal design of split-plot fractional factorial experiments has received much...
A fractional factorial design is called a resolution V.2 plan if it is capable of estimating all mai...
A fractional factorial design is called a resolution V.2 plan if it is capable of estimating all mai...
A general approach to studying fractional factorial designs with multiple groups of factors is propo...
Regular two-level fractional factorial designs are often used in industrial ex-periments as screenin...
It is very powerful for constructing nearly saturated factorial designs to characterize fractional f...
Fractional factorial designs are widely used in practice and typically chosen according to the minim...
Most two-level fractional factorial designs used in practice involve independent or fully confounded...
When performing fractional factorial experiments in a completely random order is impractical, fracti...
Most two-level fractional factorial designs used in practice involve independent or fully confounded...