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A Study on Developing Fold-Over Designs with Four-Level Quantitative Factors  

Choi, Kiew-Phil (Total Productivity Team, Orion Electric Company)
Byun, Jai-Hyun (Department of Industrial and Systems Engineering, Gyeongsang National University)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.28, no.3, 2002 , pp. 283-290 More about this Journal
Abstract
Two-level fractional factorial designs are widely used when many factors are considered. When two-level fractional factorial designs are used, some effects are confounded with each other. To break the confounding between effects, we can use fractional factorial designs, called fold-over designs, in which certain signs in the design generators are switched. In this paper, optimal fold-over designs with four-level quantitative and two-level factors are presented for (1) the initial designs without curvature effect and (2) those with curvature effect. Optimal fold-over design tables are provided for 8-run, 16-run, and 32-run experiments.
Keywords
fractional factorial designs; four-level quantitative factors; fold-over design; combined design; resolution; word length pattern; curvature effect;
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  • Reference
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