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Six sigma project generation and selection: an action research study

Giovanni Cláudio Pinto Condé (Department of Production Engineering, Federal University of São Carlos Open Interactivity Laboratory for Dissemination of Scientific and Technological Knowledge, São Paulo, Brazil)
José Carlos Toledo (Department of Production Engineering, Federal University of São Carlos Open Interactivity Laboratory for Dissemination of Scientific and Technological Knowledge, São Paulo, Brazil)
Mauro Luiz Martens (Department of Production Engineering, Methodist University of Piracicaba - Santa Barbara d’Oeste Campus, Santa Barbara d’Oeste, Brazil)

International Journal of Lean Six Sigma

ISSN: 2040-4166

Article publication date: 22 March 2024

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Abstract

Purpose

The purpose of this paper is to test and develop a method for generation and selection of six sigma projects. This is done by testing the use of the generation and selection method for six sigma projects (GSM_SSP) in a Brazilian manufacturing industry with the participation of managers, aiming to gather the user’s perspective and improvement opportunities for the approach itself.

Design/methodology/approach

The work adopts the action research (AR) approach once the researchers were busily involved in the training, implementation and use of the GSM_SSP. The intervention was performed in on a series of 15 workshops, with a group of managers, during six months.

Findings

The application of the eight steps of the GSM_SSP approach assisted the company’s management team to generate nine project candidates and also to select three six sigma projects. This study also finds and discusses barriers and lessons learned used to improve the GSM_SSP.

Research limitations/implications

This study presents an example of how six sigma project generation and selection has been applied to a manufacturing industry by adapting AR to the process using the eight steps of GSM_SSP, demonstrating how the management team was involved. This study should be replicated in different companies because AR is limited in its generalization.

Originality/value

To the best of the authors’ knowledge, this study represents the first use of AR methodology in six sigma project selection. This study contributes a method that can generate and select six sigma projects. In doing so, the research offers a simple approach that can be used by managers. In addition, the steps of the approach before selection were explored.

Keywords

Acknowledgements

The authors acknowledge the support from Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq – Brazil. Moreover, the authors wish to thank the company, whose name is kept confidential, which allowed the field research to be carried out at its facilities, contributing to the time of its staff, entrusting data and information that made it possible to carry out this research.

Disclosure statement: The authors report there are no competing interests to declare.

Citation

Condé, G.C.P., Toledo, J.C. and Martens, M.L. (2024), "Six sigma project generation and selection: an action research study", International Journal of Lean Six Sigma, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJLSS-04-2023-0070

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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