Two-level screening designs are widely applied in manufacturing industry to identify
influential factors of a system. These designs have each factor at two levels and are …

In recent years, there has been an increasing emphasis in the design of experiments
literature on optimal design. Many authors have recommended that optimal design of …

Despite the vast amount of literature on supersaturated designs (SSDs), there is a scant
record of their use in practice. We contend this imbalance is due to conflicting …

A screening experiment attempts to identify a subset of important effects using a relatively
small number of experimental runs. Given the limited run size and a large number of …

This article presents a comparison of criteria used to characterize two-level designs for
screening purposes. To articulate the relationships among criteria, we focus on 7-factor …

An important property of any experimental design is its power, defined roughly as its ability
to detect active factors. For supersaturated designs, power is even more critical. We consider …

Two-level orthogonal arrays of N runs, k factors, and a strength of 3 provide suitable
fractional factorial designs in situations where many of the main effects are expected to be …

Supersaturated designs investigate more factors than there are runs, and are often
constructed under a criterion measuring a design's proximity to an unattainable orthogonal …

Optimal designs are often used for constrained mixture experiments because of the irregular
design spaces. For these experiments, the number of blends needed to fit standard linear …

Screening experiments are useful for identifying a small number of truly important factors
from a large number of potentially important factors. The Gauss-Dantzig Selector (GDS) is …