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Unlocking the potential: empirical analysis of enablers, barriers, benefits and technologies for integrating Industry 4.0 and Lean Six Sigma in manufacturing organisations

Maryam Zulfiqar (Independent Researcher, Lahore, Pakistan)
Michael Sony (WITS Business School, University of Witwatersrand, Johannesburg, South Africa)
Shreeranga Bhat (Department of Mechanical Engineering, St Joseph Engineering College, Mangalore, India)
Jiju Antony (Industrial and Systems Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates)
Willem Salentijn (School of Business and Economics, VU University Amsterdam, Amsterdam, The Netherlands)
Olivia McDermott (University of Galway, Galway, Ireland)

The TQM Journal

ISSN: 1754-2731

Article publication date: 28 December 2023

203

Abstract

Purpose

The integration of Lean Six Sigma (LSS) and Industry 4.0 (I4.0) is in the nascent stage and promises to achieve new optimums in operational excellence. This study aims to empirically examine the enablers, barriers, benefits and application of I4.0 technologies in LSS and I4.0 integration.

Design/methodology/approach

A pilot survey was chosen as an appropriate methodology, as LSS and I4.0 integration is still budding. The survey targeted senior quality management professionals, quality managers, team leaders, LSS Black Belts and operations managers to collect the relevant research data. The questionnaire was sent to 200 respondents and received 53 valid responses.

Findings

This study reveals that “top management support” is an essential enabler for LSS and I4.0 integration. The most significant barrier was “poor understanding of data analysis” and “lack of top management support”. The findings further illustrated that LSS and I4.0 integration resulted in greater efficiency, lower operational costs, improved productivity, improved customer satisfaction and improved quality. Regarding I4.0 technology integration at different phases of LSS, the authors noticed that big data analytics and artificial intelligence (AI) are the most prominent technologies used in all phases of LSS implementation.

Research limitations/implications

One of the limitations of this study is the sample size. LSS and I4.0 are emerging concepts; hence, obtaining a larger sample size is difficult. In addition, the study used non-parametric tests to analyse the data. Therefore, future studies should be conducted with large sample sizes across different continents and countries to understand differences in the key findings.

Practical implications

The outcomes of this study can be useful for organisational managers to understand the enablers and barriers before integrating LSS and I4.0 for adoption in their organisations. Secondly, it helps to convince top management and human resource personnel by providing a list of benefits of LSS and I4.0 integration. Finally, it can help decision-makers understand which I4.0 technologies can be used in different stages of LSS methodology.

Originality/value

LSS and I4.0 integration was studied at a conceptual level. This is the first empirical study targeted toward understanding the LSS and I4.0 integration. In addition, this study investigates the application of widely used I4.0 technologies in different phases of LSS.

Keywords

Acknowledgements

Since submission of this article, the following author(s) have updated their affiliation(s): Jiju Antony is a Professor of Quality and Operational Excellence, Faculty of Business and Law, Newcastle Business School, Northumbria University, Newcastle, England, UK and Michael Sony is at the Oxford Brookes Business School, Oxford Brookes University, Oxford, UK.

Citation

Zulfiqar, M., Sony, M., Bhat, S., Antony, J., Salentijn, W. and McDermott, O. (2023), "Unlocking the potential: empirical analysis of enablers, barriers, benefits and technologies for integrating Industry 4.0 and Lean Six Sigma in manufacturing organisations", The TQM Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/TQM-05-2023-0130

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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