Work

Optimal Foldover Plans for Resolution IV Designs with 17 to 21 Factors

Year: 2025

Type: article

Abstract: This paper provides an identification of optimal foldover plans for two-level fractional factorial designs involving 17 to 21 factors, thereby augmenting the repertoire of available optimal foldover plans for resolution IV designs. The methodology applied was based on an exhaustive search algorithm capable of detecting the set of columns to be inverted in the resolution IV fraction so that the maximum number of two-factor interactions are decoupled.

Source: Mathematics

DOI: 10.3390/math13233852

Authors: Hazael Zarco-Murillo, Armando Javier Ríos-Lira, Yaquelin Verenice Pantoja-Pacheco, Edgar Augusto Ruelas-Santoyo, Oscar Yáñez-Hernández, Martha Laura Asato-España

Institutions: Tecnológico Nacional de México, Technological Institute of Celaya

Language: English

Topic: Optimal Experimental Design Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Tecnológico Nacional de México