DSDApp: An Open-Access Tool for Definitive Screening Design

Abstract

Definitive Screening Design (DSD) is a powerful design of experiment technique employed to find significant factors (parameters) and optimize the factor levels in many experiments of different fields. However, making its design and analyzing the obtained results usually requires expensive software or advance programming knowledge. Therefore, the authors of this work developed a web application, called “DSDApp”, with which users can make designs and analyze the results of DSD without statistical and programming efforts. DSDApp can generate DSD tables, make second-order models, and optimize factor levels to obtain max/min/target output values. Corresponding authors: Ryoichiro Hayasaka, [email protected] Pablo Cayado, [email protected]

Keywords

• design of experiment (doe)
• definitive screening design (dsd)
• multi-objective optimization