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Full Description
The world's leading expert on Lean Six Sigma provides the missing link for reducing waste and taking operations to the next level: Artificial Intelligence
"Whatever the industry, there is an executive with the grit and determination to apply AI to attain the fastest growth, the highest investment returns, to dominate that industry. The only question is: will it be you?" -from Lean Six Sigma in the Age of Artificial Intelligence
Combine the power of AI and LSS to seize the competitive advantage—quickly, decisively, and permanently
Since 2001, business leaders have been using Lean Six Sigma (LSS) to drive improvements across industries, enabling their companies to reduce cycle time and waste, thus improving revenue and profits. Now they can finally unlock their company's full potential by combining LSS and AI.
In Lean Six Sigma in the Age of Artificial Intelligence, the world's most respected expert on LSS, Michael L. George, Sr., shows how to harness the power of the technology that promises changing everything as we know it—Artificial Intelligence—to dramatically enhance any LSS management program. This game-changing guide takes you through the process of using AI to unlock maximum speed, solve complex manufacturing challenges, reduce waste, increase company profits, and ultimately outflank your competition at every turn. With Lean Six Sigma in the Age of Artificial Intelligence, you'll take this revolutionary approach to its limits—and that will make all the difference between business success and failure in the coming decades.
Contents
Table of Contents
Author's Note
The Brain: Inspiration for the Neural Network and Deep Learning
Chapter 1: AI Data Mining Guides an EBITDA Turnaround
Chapter 2: The Waste That Only Artificial Intelligence Can Eliminate
Chapter 3: The Productivity Challenge of the Twenty-First Century
Chapter 4: Why Is the Fourth Industrial Revolution Needed Now?
Chapter 5: AI Data Mining, Product Flow, and Cycle Time
Chapter 6: Executive Overview of the Fourth Manufacturing Revolution
Chapter 7: Introduction to Deep Learning in Manufacturing
Chapter 8: Specific Applications of Deep Learning in Manufacturing
Chapter 9: AI Pull System Development
Chapter 10: Conducting an AI Readiness Assessment
Chapter 11: AI Lean Six Sigma in Process Industries
Chapter 12: AI in Predictive Maintenance to Prevent Machine Downtime
Chapter 13: AI in Project Management and Product Development
Endnotes
Index
