AI-Powered Lean Six Sigma: Transforming Smart Manufacturing for the Next Decade

This book is a practical guide for embedding AI within the DMAIC framework, offering real-world examples from regulated industries like pharma and electronics. Packed with templates and checklists, it helps leaders apply AI in Lean Six Sigma, ensuring solutions are auditable, scalable, and impactful. In today’s high-stakes manufacturing environments, leaders don’t need another abstract overview of artificial intelligence or a rehash of Lean fundamentals—they need a hands-on guide that shows exactly how AI can be embedded within the DMAIC framework to drive measurable results. This book delivers just that: a concrete, practitioner-first playbook that integrates AI directly into each phase of DMAIC -— Define, Measure, Analyze, Improve, Control -- rather than treating it as a separate initiative. Drawing on real-world applications from pharmaceuticals, medtech, electronics, and supply chain operations, it offers case-rich insights tailored to the complexity of regulated industries. Readers will find ready-to-use templates, checklists, and governance models designed for immediate implementation. With a balance of academic rigor and executive relevance, this resource is ideal for graduate programs, operational leaders, and innovation teams alike. Whether you're optimizing compliance-heavy workflows or scaling digital transformation, this book equips you to harness AI within a proven Lean Six Sigma structure -- ensuring your solutions are not only innovative, but auditable, scalable, and impactful.