Development of structural equation model for Lean Six Sigma system incorporated with sustainability considerations

Abstract

Purpose

The study aims to describe the development of a structural measurement model using structural equation modeling technique to validate the association that exists between Lean Six Sigma (LSS) and sustainable manufacturing strategies.

Design/methodology/approach

Both LSS and sustainable manufacturing aim at improving the firm’s business competitiveness which forms a strategic link that benefits the manufacturing organizations. The study aims to investigate the relationship among constructs that leads to operational excellence while deploying LSS and sustainable manufacturing strategies in organizations.

Findings

Empirical data needed for the study are collected from experts belonging to various industries that are implementing both LSS and sustainable manufacturing practices. Later statistical estimates (hypotheses) are being formulated to confirm the developed measurement model. Based on the obtained results after analysis of the structural model, the statistical estimate is either being accepted or rejected. Results of this study reveal that there exists a strong correlation between LSS and sustainable manufacturing factors that leads to organizational performance.

Research limitations/implications

Additional indicators could be included to deal with technological advancements in sustainable manufacturing.

Practical implications

The study has been done with regard to Indian automotive component manufacturing organizations scenario. Hence, the inferences derived have practical relevance.

Originality/value

The development of structural model for the Lean Six Sigma system with sustainability considerations is the original contribution of the authors.

Citation

R., B.R., Vinodh, S. and P., A. (2020), "Development of structural equation model for Lean Six Sigma system incorporated with sustainability considerations", International Journal of Lean Six Sigma, Vol. 11 No. 4, pp. 687-710. https://doi.org/10.1108/IJLSS-11-2018-0123