Using Taguchi's experiments Part III: Choosing Raw Materials According to Process Yields

• DOI: 10.24857/rgsa.v19n4-016
• Publication Date: 2025-04-03T21:08:15Z
• Authors: Nilo Antônio de S...; Carlos Eduardo da...; Fabíola Freitas d...; Glaucia Aparecida...; Sílvio Sérgio Sil...; Isaac Teixeira de...; Mariane Ribeiro V...

Objective: The aim of this work is to show the application of the Taguchi Experiment in a Chemical Industry Process.

Theoretical framework: A Taguchi design, or orthogonal array, is a method for designing experiments that usually require only a fraction of the complete factorial combinations. The orthogonal array means that the design is balanced, so that the factor levels are weighted equally. Therefore, each factor can be evaluated independently of all the other factors, so that the effect of one factor does not influence the estimate of another factor: Static experiments (without a sign factor) and dynamic experiments (with a sign factor) (Moura et al., 2023).

Method: Experimental data was taken from a Chemical Industry in the South of the State of Rio de Janeiro and the data was treated with the Taguchi Experiment.

Final Considerations: It can be concluded that the Taguchi experiment is a very viable option for optimizing the performance of industrial processes. In this specific case of the factory, it can be concluded that the most significant factors in order of importance are Factors A, B and C.

Implications of the research: The use cases of the Taguchi experiment are multiplying in the scientific literature and have proven to be highly effective in dealing with data where the assumptions of Normality are confirmed.

Originality/value: Despite being well-known statistical tools, the Taguchi Experiment is widely used and can bring innovations in its application, as in the case of the company in question.