Selection of Industry 4.0 technologies for Lean Six Sigma integration using fuzzy DEMATEL approach
Abstract
Purpose
This study aims to explore the integration of Industry 4.0 technologies with lean six sigma practices in the manufacturing sector for enhanced process improvement.
Design/methodology/approach
This study used a fuzzy decision-making trial and evaluation laboratory approach to identify critical Industry 4.0 technologies that can be harmonized with Lean Six Sigma methodologies for achieving improved processes in manufacturing.
Findings
The research reveals that key technologies such as modeling and simulation, artificial intelligence (AI) and machine learning, big data analytics, automation and industrial robots and smart sensors are paramount for achieving operational excellence when integrated with Lean Six Sigma.
Research limitations/implications
The study is limited to the identification of pivotal Industry 4.0 technologies for Lean Six Sigma integration in manufacturing. Further studies can explore the implementation challenges and the quantifiable benefits of such integrations.
Practical implications
Integrating Industry 4.0 technologies with Lean Six Sigma enhances manufacturing efficiency. This approach leverages AI for predictive analysis, uses smart sensors for energy efficiency and adaptable robots for flexible production. It is vital for competitive advantage, significantly improving decision-making, reducing costs and streamlining operations in the manufacturing sector.
Social implications
The integration of Industry 4.0 technologies with Lean Six Sigma in manufacturing has significant social implications. It promotes job creation in high-tech sectors, necessitating advanced skill development and continuous learning among the workforce. This shift fosters an innovative, knowledge-based economy, potentially reducing the skills gap. Additionally, it enhances workplace safety through automation, reduces hazardous tasks for workers and contributes to environmental sustainability by optimizing resource use and reducing waste in manufacturing processes.
Originality/value
This study offers a novel perspective on synergizing advanced Industry 4.0 technologies with established Lean Six Sigma practices for enhanced process improvement in manufacturing. The findings can guide industries in prioritizing their technological adoptions for continuous improvement.
Keywords
Acknowledgements
The authors of this paper extend their sincere gratitude to the referees whose insightful recommendations have significantly contributed to enhancing the quality of this manuscript. Additionally, we wish to express our appreciation to the experts who generously shared their valuable opinions and insights, further enriching the depth and scope of our study.
Funding: No funding was received for the conduct of this study. The research and preparation of this manuscript were carried out as part of our independent academic pursuits, without financial support or sponsorship from any external organization.
Citation
Ibrahim, A. and Kumar, G. (2024), "Selection of Industry 4.0 technologies for Lean Six Sigma integration using fuzzy DEMATEL approach", International Journal of Lean Six Sigma, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJLSS-05-2023-0090
Publisher
:Emerald Publishing Limited
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