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

• Autore: Tarantino Anthony <1949->
• Pubblicazione: Hoboken, New Jersey : , : Wiley, , [2022]; ©2022
• Descrizione fisica: 1 online resource (466 pages)
• Disciplina: 658.5620218
• Soggetto topico: Six sigma (Quality control standard); Quality control - Standards
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover -- Title Page -- Contents -- Foreword -- Acknowledgments -- About the Author -- About the Contributors -- Introduction -- Chapter 1 Introduction to Industry 4.0 and Smart Manufacturing -- Introduction -- 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 -- Introduction -- 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 -- Notes -- Chapter 3 Continuous Improvement Tools for Smart Manufacturing -- Introduction -- 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& -- 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 -- Sample Questions -- Notes -- Chapter 4 Improving Supply Chain Resiliency Using Smart Technologies -- Introduction -- 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 -- Summary -- Sample Questions -- Notes -- Chapter 5 Improving Cybersecurity Using Smart Technology -- Introduction -- 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 -- Summary -- Sample Questions -- Notes -- 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 -- Summary -- Sample Questions -- Notes -- Chapter 7 Big Data for Small, Midsize, and Large Operations -- Introduction -- 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 -- Summary -- Sample Questions -- Notes -- Chapter 8 Industrial Internet of Things (IIoT) Sensors -- Introduction -- 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 -- Summary -- Sample Questions -- Notes -- Chapter 9 Artificial Intelligence, Machine Learning, and Computer Vision -- Introduction -- 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 -- Sample Questions -- Notes -- Chapter 10 Networking for Mobile Edge Computing -- Introduction -- 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 -- Summary -- Sample Questions -- References -- Popular Acronyms Used in Networking and Mobile Computing -- Notes -- 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Smart manufacturing
• ISBN: 1-119-84664-1; 1-119-84662-5; 1-119-84663-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910678076203321
• Lo trovi qui: Univ. Federico II