The design described is a Plackett-Burman design. This screening design is a two-level fractional factorial approach used to study many variables efficiently in a relatively small number of runs. A defining feature is that it can study k = N−1 factors in N runs, where N is a multiple of 4. This makes it especially useful in Six Sigma Analyze and Improve work when the team needs to screen a large number of potential factors quickly to identify the few that are likely to matter most. It is not a full factorial design because full factorial experiments require many more runs as the number of factors increases. It is not a Latin square design, which is used to control for two nuisance variables. Resolution IV is a classification of certain fractional factorial designs, but the formula given in the question specifically identifies the Plackett-Burman structure. For Black Belts, this design is valuable when resources are limited and the first objective is factor screening rather than detailed interaction modeling. Therefore, the correct answer is B, Plackett-Burman design.