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Smart manufacturing : the lean Six Sigma way / Anthony G. Tarantino.

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Format:
Book
Author/Creator:
Tarantino, Anthony, 1949- author.
Language:
English
Subjects (All):
Six sigma (Quality control standard).
Quality control--Standards.
Quality control.
Physical Description:
1 online resource (466 pages)
Place of Publication:
Hoboken, New Jersey : Wiley, [2022]
Summary:
Explore the dramatic changes brought on by the new manufacturing technologies of Industry 4.0 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. The book also discusses the role Smart technologies will play in improving: Career opportunities for women in manufacturing Cyber security, supply chain risk, and logistics resiliency Workplace health, safety, and security Life on the manufacturing floor Operational efficiencies and customer satisfaction 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.
Contents:
Cover
Title Page
Contents
Foreword
Acknowledgments
About the Author
About the Contributors
Introduction
Chapter 1 Introduction to Industry 4.0 and Smart Manufacturing
The First Industrial Revolution
The Second Industrial Revolution
The Third Industrial Revolution
The Fourth Industrial Revolution
The Major Components of Smart Manufacturing
Lean and Six Sigma in the Age of Smart Manufacturing
Improving Cybersecurity Using Smart Technology
Smart Logistics
Big Data for Small, Midsize, and Large Enterprises
Industrial IoT Sensors
Artificial Intelligence Machine Learning and Computer Vision
Networking for Mobile-Edge Computing
Additive Manufacturing and 3D Printing
Robotics
Smart Technology to Improve Life on the Factory Floor
Summary: The Advantages of Smart Manufacturing
Improved Quality and Safety
Improved Margins
Improved Cycle Times
High Efficiency with Well-Defined Smart Factory Processes23
Sample Questions
Notes
Chapter 2 Lean Six Sigma in the Age of Smart Manufacturing
The History of Lean - American Assembly Lines
The History of Lean - Toyota Embraces Deming and Piggly Wiggly
The Toyota Production System: The Birthplace of Lean
Lean Empowers Employees, Treating Them with Respect
Resilient Supply Chain Management: How Toyota Fared During the COVID-19 Pandemic
The History of Six Sigma: Bill Smith and Jack Welch
Six Sigma's DMAIC Framework to Fix an Existing Process
The DMAIC Framework Using Smart Technologies
Six Sigma's DMADV Framework to Design a New Process
The Statistics Behind Six Sigma
Six Sigma Professionals in the Age of Smart Manufacturing
Six Sigma Project Charters and SMART Goals
Lean and Six Sigma Uses of the Scientific Method
Summary: Six Sigma's Marriage to Lean.
Sample Questions
Chapter 3 Continuous Improvement Tools for Smart Manufacturing
Voice of the Customer in the Age of Smart Manufacturing
Voice of the Customer Using Net Promoter Score
Voice of the Customer Using the Delphi Technique
Voice of the Customer Using the Kano Model
Affinity Diagrams to Organize Many Ideas into Common Themes
Critical to Quality to Convert the VOC to Measurable Objectives
Types of Data
Benchmarking
Process Maps
Types of Process Maps
SIPOC
Process Maps with Decision Points
Process Maps with Swim Lanes
Limited Data Collection and the Hawthorne Effect Impacting Process Mapping
Value Stream Maps to Eliminate Waste
Value-Added Activity versus Non-Value-Added Activity
Root Cause Analysis Using a Fishbone Diagram and Risk Matrix
Root Cause Analysis Using the Five Whys
Changes Coming to Root Cause Analysis with Smart Technologies
Pareto Chart
Kanban Pull System
Poka-Yoke to Error-Proof Processes and Products
Five S
Heijunka
Plan-Do-Check-Act
Kaizen
Setup Time Reduction Using Single Minute Exchange of Dies
Gage Repeatability and Reproducibility (Gage R&amp
R)
Failure Modes and Effects Analysis (FMEA) to Solve Complex Problems
Pugh Matrix to Design New Processes and Products
Quality Function Deployment (House of Quality)
History of QFD
Structure of the House of Quality Used in QFD
Building a House of Quality
Benefits of Using QFD
Using QFD in Combination with the Pugh Matrix
Smart Technologies to Automate QFD
Summary
Chapter 4 Improving Supply Chain Resiliency Using Smart Technologies
Supply Chain Resilience
Supply Chain Risk Heat Maps
Supply Chain Mapping at a Macro and Micro Level
Preferred Supplier Programs.
Bill of Material Risk Grading Tools
Environmental Risk Solutions
The Global Driver Shortage and Poor Utilization
Vehicle Monitoring Tools
Computer Vision Systems Using Smart Cameras
Autonomous Trucks
Supply Chain Resilency in a Post-COVID World
Criticism and Defense of Lean Inventory Management
Good Sourcing Strategies
Supply Chain Stress Testing
Chapter 5 Improving Cybersecurity Using Smart Technology
Trends Increasing the Risk of Manufacturing and Supply Chain Cyberattacks
Globalization and Specialization
Improved Security Within the Corporate Network
Artificial Intelligence and the Internet of Things
Software Supply Chain Compromises
The Emergence of Cloud Computing and the Public Cloud
Targeting Small Companies
So Why Is Manufacturing and the Supply Chain an Attractive Target?
Primary Motives Behind Manufacturing and Supply Chain Attacks
Stealing Proprietary Information and Intellectual Property
Financial Gain from Ransomware
Political Motives
Disruption of Operations
Methods Used to Breach Target Systems
Using a Third-Party Connection as a Means to Get to Your Network
Using a Third-Party Connection as a Means to Get to Your Customers' Information
Tampering with Components or Products in the Manufacturing Process
Tampering with Manufacturing Process Equipment
What Are the Potential Costs of a Cyberattack?
Protecting Against Cyberattacks
Approaches to Mitigating Risk
Developing Internal Processes and Controls
Developing Secure Third-Party Relationships
Chapter 6 Improving Logistics Using Smart Technology
Introduction: Why Logistics?
Megatrends in Logistics That Impact Brands/Manufacturers.
The Different Expectation of Your Customer-by-Customer Type
The Cost of Not Paying Attention to Logistics
The Benefits of Making Logistics a Strategic Competency
Steps to Make Logistics Your Competitive Advantage
Why Technology Is So Important to Logistics
Area 1: Insight/Planning/Monitoring
Area 1, Use Case 1: Logistics Insight via Data Analytics
Area 1, Use Case 2: Advanced Forecasting via Machine Learning and AI-Based Prediction
Area 1, Use Case 3: Dynamic Decision-Making via Machine Learning and AI-Based Prediction with Real-Time Data and Blockchain
Area 2: Task Execution
Area 2, Use Case 1: Automation for Information Processing via Robotics Process Automation
Area 2, Use Case 2: Automation for Physical Tasks via Robotics
Area 2, Use Case 3: Autonomous Transportation via Autonomous Technologies
Area 3: Exchanges and Collaborations
Area 3, Use Case 1: Digital Freight Brokerage via Cloud Technologies
Area 3, Use Case 2: Supply Chain Collaboration via Cloud Technologies
Area 4: Safety, Security, and Compliance
Area 4, Use Case 1: Global Trade Compliance via Cloud Technologies
Chapter 7 Big Data for Small, Midsize, and Large Operations
Structured Data and Relational Databases
Unstructured Data
Why Manufacturing Needs Big Data Analytics
The Four Levels of Data Analytics
Descriptive Analytics - What Happened?
The Five Phases of Descriptive Analytics
The Value of Descriptive Analytics
Diagnostic Analytics - Why Did It Happen?
Predictive Analytics - What May Have Happened?
Prescriptive Analytics - What Is the Best Next Step?
Future of Big Data Analytics
Data Science Tools
Data Analytics Pipeline
Collection
The Benefits of Big Data for SMEs
Big Data Tools for SMEs.
Problems SMEs Face in Adopting Big Data Analytics
Best Practices in Data Analytics for SMEs
Chapter 8 Industrial Internet of Things (IIoT) Sensors
PLCs
Carnegie Mellon
Consumer-Oriented IoT
Webcams
IIoT-Enabling Technologies
IIoT Platform Building Blocks
IIoT Sensors
Application Areas for IIoT
Industries Where IIoT Can and Does Play a Role
Future Trends in IIoT
Chapter 9 Artificial Intelligence, Machine Learning, and Computer Vision
History of AI and Computer Vision
Understanding Machine Learning and Computer Vision
Types of Machine Learning
Common Computer Vision Tasks
Building a Model
Machine Learning Pipelines
Issues with Artificial Intelligence
Conclusion
Chapter 10 Networking for Mobile Edge Computing
Brief History of Networking
Basic Networking Concepts, Architecture, and Capabilities
Network Address Management
Subnets
Network Address Translation
Ports
Autoconfiguration of Networks
Security and Reliability
Introduction to the OSI Model
Basic Wi-Fi Concepts, Architecture, and Capabilities
Mobile Cell Phone Concepts, Architecture, and Capabilities
Mobile Generations
Cell Architectural Concepts
Mobile Networking Security and Reliability
Future Evolution of Mobile Networking
IT and Telecommunications Networking Convergence
Convergence of the Internet and Telephony
Capabilities and Benefits of Mobile Edge Networking
References
Popular Acronyms Used in Networking and Mobile Computing
Chapter 11 Edge Computing
Introduction: What Is Edge Computing?
Benefits of Edge Computing
Top Use Cases for the Edge in Smart Manufacturing.
The Data Challenge.
Notes:
Includes bibliographical references and index.
Description based on print version record.
Other Format:
Print version: Tarantino, Anthony Smart Manufacturing
ISBN:
9781119846642
1119846641
9781119846628
1119846625
9781119846635
1119846633
OCLC:
1321071970

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