This is the peer reviewed version of the following article: “Grima, P, Marco, L, Tort-Martorell, X. (2017) Blocking versus robustness in industrial contexts, (2017)1-13.” which has been published in final form at [doi: 10.1002/qre.2173]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."

The paper discusses the similarities and differences between blocking factors (blocked designs) and noise factors (robust designs) in industrial two-level factorial experiments. The discussion covers from the objectives of both design types and the nature of blocking and noise factors to the types of designs and the assumptions needed in each case. The conclusions are as follows: the nature and characteristics of noise and blocking factors are equal or very similar; the designs used in both situations are also similar; and the main differences lie in the assumptions and the objectives. The paper argues that the objectives are not in conflict and can easily be harmonized. In consequence, we argue in favor of a unified approach that would clarify the issue, especially for students and practitioners.

Peer Reviewed