2018DYNARequires access

DESIGN OF EXPERIMENTS METHODOLOGY. CASE STUDY, LAUNCHER

Gorka Unzueta, AITOR ORUE IRASUEGI, Aritz Esnaola Arruti, José Alberto Eguren

Open publisher page 8 citations

Abstract

The present study describes a methodology to apply the DOE (Design of Experiment) techniques. To show its application, a simple case was prepared that can be used as a training in industrial environments. In this case, fractional factorial designs were applied and the effects and interactions that influence the analyzed response were determined. The analysis of the data was done both manually and through the use of the statistical software MINITAB. The case study shown can be a useful tool to stimulate the use of DOE techniques in the industry. Keywords: Design of Experiment, DOE, training, factorial design, methodology.

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What this paper is about

The present study describes a methodology to apply the DOE (Design of Experiment) techniques. To show its application, a simple case was prepared that can be used as a training in industrial environments. In this case, fractional factorial designs were applied and the effects and interactions that influence the analyzed response were determined. The analysis of the data was done both manually and through the use of the statistical software MINITAB. The case study shown can be a useful tool to stimulate the use of DOE techniques in the industry. Keywords: Design of Experiment, DOE, training, factorial design, methodology.

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The present study describes a methodology to apply the DOE (Design of Experiment) techniques. To show its application, a simple case was prepared that can be used as a training in industrial environments. In this case, fractional factorial designs were applied and the effects and interactions that influence the analyzed response were determined. The analysis of the data was done both manually and through the use of the statistical software MINITAB. The case study shown can be a useful tool to stimulate the use of DOE techniques in the industry. Keywords: Design of Experiment, DOE, training, factorial design, methodology.

Key concepts: Factorial experiment, Design of experiments, Fractional factorial design, Factorial, Computer science, Software, Statistical analysis, Design methods

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