Textbook in PDF format

In Smart Manufacturing, The Lean Six Sigma Way, Dr. Anthony Tarantino delivers an insightful and eye-opening exploration of the ways the Fourth Industrial Revolution is dramatically changing the way we manufacture products across the world and especially how it will revitalize manufacturing in North America and Europe. The author examines the role and impact of a variety of new Smart technologies including industrial IoT, computer vision, mobile/edge computing, 3D printing, robots, big data analytics, and the cloud. He demonstrates how to apply these new technologies to over 20 continuous improvement/Lean Six Sigma tools, greatly enhancing their effectiveness and ease of use. Perfect for anyone involved in the manufacturing or distribution of products in the 21st century, Smart Manufacturing, The Lean Six Sigma Way belongs in the libraries of anyone interested in the intersection of technology, commerce, and physical manufacturing.
Introduction
Introduction to Industry 4.0 and Smart Manufacturing
Lean Six Sigma in the Age of Smart Manufacturing
Continuous Improvement Tools for Smart Manufacturing
Improving Supply Chain Resiliency Using Smart Technologies
Improving Cybersecurity Using Smart Technology
Improving Logistics Using Smart Technology
Big Data for Small, Midsize, and Large Organizations
Industrial Internet of Things (IIoT) Sensors
Artificial Intelligence, Machine Learning, and Computer Vision
Networking for Mobile Edge Computing
Edge Computing
3D Printing and Additive Manufacturing
Robotics
Improving Life on the Factory Floor with Smart Technology
Growing the Roles for Women in Smart Manufacturing
Case Studies
Automating Visual Inspection Using Computer Vision
Barcoding, the Most Ubiquitous and Most Critical IIoT Technology
Improving Safety with Computer Vision
COVID-19 Accelerates the Adoption of 3D Printing
How Mobile Apps Benefit Small to Midsize Enterprises
Using Factory-Floor Touch Screens to Improve Operations
Edge Computing to Improve Operations
Five Dangerous Jobs Robots Can Do Well
Answers to Sample Questions