AI-Powered Six Sigma: Integrating Artificial Intelligence with Lean Tools, DMAIC, and Belts for Smarter Quality Management - Couverture souple

Livre 17 sur 33: Lean Foundations & Advanced AI Applications Series

Soliman, Mohammed Hamed Ahmed

 
9798271180200: AI-Powered Six Sigma: Integrating Artificial Intelligence with Lean Tools, DMAIC, and Belts for Smarter Quality Management
Couverture souple
ISBN 13 : 9798271180200
Editeur : Independently published, 2025

Synopsis

AI-Powered Six Sigma: Integrating Artificial Intelligence with Lean Tools, DMAIC, and Belts for Smarter Quality Management

In today's fast-paced business environment, traditional quality tools are no longer enough. AI-Powered Six Sigma bridges the gap between proven Six Sigma methodologies and the disruptive power of Artificial Intelligence.

Written by bestselling author Dr Soliman, with more than 100 published titles in Lean, Business, and Reliability, this book provides a ground-breaking roadmap for professionals in quality, manufacturing, and process improvement.

Inside you will learn how to:

Master the Six Sigma Belts hierarchy (White, Yellow, Green, Black, and Master Black Belt) with AI-driven tools.

Enhance the DMAIC framework using machine learning, IoT, and predictive analytics.

Transform traditional quality methods such as FMEA, Root Cause Analysis, and Control Charts into AI-powered systems.

Apply AI in manufacturing, healthcare, logistics, energy, and services for measurable results.

Lead smarter, faster, and more reliable continuous improvement projects.

With case studies, practical tools, and future-focused insights, this book is your guide to becoming an AI-enabled Six Sigma professional.

Whether you are a beginner (White/Yellow Belt) or an experienced Black Belt, this book equips you with the knowledge and strategies to thrive in the digital era of quality management.

Perfect for engineers, quality professionals, Lean Six Sigma practitioners, managers, and anyone passionate about combining AI + Continuous Improvement to achieve excellence.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2025
Langue
anglais
ISBN 13 
9798271180200
Reliure
Broché
Nombre de pages
184
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
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