Synergizing AI and Lean Six Sigma: A Comprehensive Review of Smart Quality Assurance Systems
DOI:
https://doi.org/10.70445/gjmdsa.1.2.2024.113-133Keywords:
Artificial Intelligence, Lean Six Sigma, Quality Assurance, Predictive Analytics, Automation, Continuous Improvement, Industry 4.0, Smart Manufacturing.Abstract
This review examines how Artificial Intelligence (AI) can be integrated with Lean Six Sigma (LSS) in making intelligent and data-driven Quality Assurance (QA) systems. The new AI technology can complement the old LSS techniques by adding predictive analytics, automation, and optimization of processes at any moment, allowing to control the quality pro-actively and constantly improve the processes. The article discusses the important uses, advantages, issues and future of AI-driven Lean Six Sigma within the contemporary industries. The results indicate that AI is highly useful in enhancing the accuracy, efficiency, and decision-making in the DMAIC framework; in addition, it corresponds to the Industry 4.0 and 5.0 paradigms. The paper concludes that AI-enhanced LSS can be taken as a radical change to smarter, adaptive, and sustainable quality management systems.
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Copyright (c) 2024 Muhammad Mohsin Kabeer (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
