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Mapping quality performance through Lean Six Sigma and new product development attributes

Vimal Kumar (Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan)
Elizabeth A. Cudney (John E. Simon School of Business, Maryville University of Saint Louis, St. Louis, Missouri, USA)
Ankesh Mittal (Department of Mechanical Engineering, Asra College of Engineering and Technology, Sangrur, India)
Ajay Jha (Department of Operations Management, Jaipuria Institute of Management Lucknow, Lucknow, India)
Neeraj Yadav (Department of Management Studies, Indian Institute of Technology Delhi, New Delhi, India) (Qualicon Consultancy Co., Jaipur, India)
Ali Al Owad (Department of Industrial Engineering, Faculty of Engineering, Jazan University, Jazan, Saudi Arabia)

The TQM Journal

ISSN: 1754-2731

Article publication date: 12 July 2023

Issue publication date: 14 August 2024

738

Abstract

Purpose

New product development (NPD) is necessary for business sustenance and customer satisfaction. Six Sigma and Design for Lean Six Sigma (DLSS) efficiently employ the repetitive stages for NPD, leading to quality performance and profitability. This study aims to map the quality performance through NPD attributes through the Lean methodology.

Design/methodology/approach

The data on NPD were collected from 267 respondents from manufacturing companies to map the relationship between Six Sigma and DLSS for NPD. Confirmatory factor analysis was employed to confirm model fit, while structural equation modeling was employed to analyze the empirical data for framework testing. The study included nine variables and fourteen hypotheses identified from the literature.

Findings

The statistical results of this study show that NPD attributes such as innovation, marketing, organization, customer, product and technology positively influence the Lean Six Sigma structured improvement process (LSSSIP) and DLSS. Moreover, integrating these attributes in Lean planning enhance quality performance. This empirical investigation's findings indicate that ten of the 14 hypotheses were supported, giving the study a strong foundation.

Research limitations/implications

The data collection was limited to northern India; therefore, the results may not be generalizable to other areas of the world.

Practical implications

NPD involves handling technical issues and factors such as cost, operational bottlenecks, economic changes, competitors' strategy and company policy. This study helps understand the various NPD parameters and their relationship to Lean, which enables an effective NPD implementation strategy.

Originality/value

The current philosophy of NPD calls for a concurrent engineering approach; therefore, the entire organization must be part of this process. This study uses the holistic framework by optimizing NPD with Lean Six Sigma (LSS) principles. The study is unique in that, to date, research does not integrate NPD attributes with the objectives of LSS to develop an efficient NPD implementation strategy.

Keywords

Acknowledgements

The authors would like to thank the three anonymous reviewers, Associate Editor, and Editor-in-Chief for their valuable comments and suggestions that helped to improve the manuscript.

Funding: The authors received no financial support for the research, authorship and/or publication of this article.

Citation

Kumar, V., Cudney, E.A., Mittal, A., Jha, A., Yadav, N. and Owad, A.A. (2024), "Mapping quality performance through Lean Six Sigma and new product development attributes", The TQM Journal, Vol. 36 No. 7, pp. 2107-2131. https://doi.org/10.1108/TQM-11-2022-0324

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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