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All Journal International Journal of Industrial Engineering, Technology & Operations Management
Edokpia, Raphael Olumese
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Exploring the Role of Artificial Intelligence in Enhancing Lean Manufacturing and Six Sigma for Smart Factories Nwamekwe, Charles Onyeka; Edokpia, Raphael Olumese; Igbinosa, Eboigbe Christopher
International Journal of Industrial Engineering, Technology & Operations Management Vol. 3 No. 1 (2025): June 2025
Publisher : Indonesia Academia Research Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62157/ijietom.v3i1.61

Abstract

The integration of Artificial Intelligence (AI) into Lean Manufacturing and Six Sigma methodologies marks a transformative advancement in smart factory operations. This research explores the pivotal role of AI in enhancing efficiency, quality, and sustainability across manufacturing processes. Case studies demonstrate how AI technologies, such as predictive maintenance and real-time monitoring, have significantly reduced downtime, optimized resource utilization, and improved product quality. AI-driven analytics and machine learning models further enable proactive decision-making, aligning Lean's waste-reduction principles and Six Sigma's quality-improvement goals. However, challenges such as high implementation costs, data privacy concerns, and workforce skill gaps impede widespread adoption. This paper discusses these barriers, proposes strategies to overcome them, and highlights opportunities to integrate AI into continuous improvement frameworks. Future research directions include developing scalable AI-driven methodologies, addressing ethical considerations, and exploring the role of AI in advancing sustainable manufacturing practices. The findings underscore AI's transformative potential to redefine Lean Six Sigma paradigms, driving innovation and operational excellence in the era of Industry 4.0.
Co-Authors Igbinosa, Eboigbe Christopher Nwamekwe, Charles Onyeka