Inhaltsverzeichnis

Alle Kapitel aufklappen
Alle Kapitel zuklappen
Foreword by Sumanta Chakraborty
15
Foreword by Amitabh Ray
17
Preface
19
Target Audience
19
How This Book Is Structured
20
Conclusion
21
Acknowledgments
21
1 Introduction to Industry 4.0
23
1.1 Main Trends and Challenges in Manufacturing
23
1.2 Transformations in the Manufacturing Industry over the Ages
24
1.3 Key Concepts of Industry 4.0
25
1.3.1 Cyber-Physical Systems
26
1.3.2 Internet of Things and Digital Twins
27
1.3.3 Vertical Integration: Top Floor to Shop Floor Integration in Manufacturing Processes
29
1.3.4 Virtual Visualization of Production Lines and Processes
32
1.3.5 Predictive Analysis through Operational Data
33
1.3.6 Horizontal Integration: End-to-End Digitalization
34
1.4 Importance of Industry 4.0 in Manufacturing
37
1.5 Key Technology Enablers for Industry 4.0
40
1.5.1 Internet of Things
40
1.5.2 Industrial Internet of Things
43
1.5.3 Machine Learning and Artificial Intelligence
43
1.5.4 Cloud Computing
45
1.5.5 Big Data
46
1.5.6 Augmented Reality
46
1.5.7 Robotics
47
1.5.8 3D Printing
48
1.5.9 5G and 6G Network Capabilities
49
1.6 Challenges to Implementing Industry 4.0
50
1.6.1 Heterogeneous Data Sources
50
1.6.2 Multiple Technologies and Platforms
52
1.6.3 High Data Volume
53
1.6.4 User Adoption and Change Management
53
1.7 Approach for Industry 4.0 Adoption
55
1.7.1 Assess Current State and Maturity
56
1.7.2 Define Objectives and Road Map
57
1.7.3 Define Architecture
58
1.7.4 Kick-Start and Pilot
58
1.7.5 Implement and Rollout
58
1.7.6 Review and Improve
58
1.8 Key SAP Solutions for Industry 4.0
59
1.8.1 Intelligent Products
59
1.8.2 Intelligent Factories
60
1.8.3 Intelligent Assets
61
1.8.4 Empowered People
62
1.9 Summary
63
2 Internet of Things Platforms, Edge Gateways, and Digital Twins
65
2.1 What Is an Internet of Things Platform?
66
2.1.1 Elements of a Successful Internet of Things Platform
67
2.1.2 Components of an Internet of Things Platform
68
2.2 Role of the Industrial Internet of Things and Edge Gateways in Industry 4.0
70
2.2.1 Challenges in Implementing the Internet of Things in Manufacturing Ecosystems
72
2.2.2 Standards and Reference Models for Industrial Internet of Things Implementation
73
2.3 Internet of Things Gateway Solutions and Integration with Internet of Things
76
2.3.1 Key Functionality of an Industrial Internet of Things Gateway Platform
76
2.3.2 Components of Edge Gateways
81
2.3.3 Reference Architecture for an Industrial Internet of Things Platform
83
2.3.4 Choosing an Industrial Internet of Things Platform
84
2.3.5 Comparing Industrial Internet of Things Platforms in the Market
89
2.4 Digital Twins
94
2.4.1 What Is a Digital Twin?
95
2.4.2 Types of Digital Twins and Their Applications
96
2.4.3 What Drives the Digital Twin Initiative in Manufacturing?
102
2.4.4 Best Practices for Digital Twins
113
2.4.5 Digital Twin Enablers from Data Ingestion to Consumption
124
2.5 Developing Cross-Component IIoT Apps Using SAP BTP
125
2.6 Summary
127
3 Process Automation and Analytics
129
3.1 Analytics Platform for Industry 4.0
130
3.1.1 Challenges
130
3.1.2 Journey of Data in a Manufacturing Ecosystem
133
3.1.3 Revolutionary Disruptions in Manufacturing Data Analytics
134
3.2 Analytics in Manufacturing
137
3.2.1 Descriptive Analytics
137
3.2.2 Diagnostic Analytics
139
3.2.3 Predictive Analytics
141
3.2.4 Prescriptive Analytics
146
3.2.5 Robotic Process Automation
148
3.3 Best Practices for Implementing Artificial Intelligence and Machine Learning
149
3.3.1 People: Who Are Your Drivers?
150
3.3.2 Process: When Should You Start the Journey?
154
3.3.3 Procedure: Technology
157
3.4 Key Use Cases of Artificial Intelligence/Machine Learning in Industry 4.0
164
3.4.1 Driving Production Excellence through Statistical Process Control and Statistical Quality Control
164
3.4.2 Predictive and Prescriptive Maintenance
167
3.4.3 Driving Product Engineering Innovation
168
3.4.4 AI-Powered Advanced Planning
170
3.4.5 Conversational Artificial Intelligence for Training and Service Support
173
3.5 AI/ML Services in SAP Business Technology Platform
176
3.5.1 SAP HANA Cloud
176
3.5.2 SAP Master Data Governance
178
3.5.3 SAP Analytics Cloud
178
3.5.4 SAP Datasphere
180
3.5.5 SAP Data Intelligence Cloud
182
3.5.6 SAP AI Services
184
3.5.7 SAP AI Core
187
3.5.8 SAP AI Launchpad
188
3.5.9 SAP Build Process Automation
189
3.6 Building Ethical Artificial Intelligence
190
3.7 Summary
192
4 Intelligent Product Development and Operations
193
4.1 What Are Intelligent Products?
193
4.1.1 The Need for Intelligent Product Design and Development
195
4.1.2 Key Components of Intelligent Product Design and Development
196
4.1.3 Benefits of Intelligent Product Design and Development for Industry 4.0
198
4.1.4 Challenges of Intelligent Product Design and Development for Industry 4.0
200
4.1.5 Intelligent Product Design and Development for Existing Products versus New Products
201
4.1.6 Enablers of Intelligent Product Design and Process Development for Industry 4.0
203
4.2 SAP S/4HANA for Intelligent Products
204
4.2.1 Key Functionalities of Product Lifecycle Management in SAP S/4HANA
205
4.2.2 Key Functionalities of SAP S/4HANA Manufacturing for Production Engineering and Operations
210
4.2.3 Architecture and Integration
216
4.2.4 Key Benefits
218
4.3 SAP Enterprise Product Development for Intelligent Products
220
4.3.1 Key Functionalities
221
4.3.2 Architecture and Integration
238
4.3.3 Key Benefits
243
4.4 SAP Teamcenter for Intelligent Products
244
4.4.1 Key Functionalities
244
4.4.2 Architecture and Integration
251
4.4.3 Key Benefits
252
4.5 Summary
254
5 Intelligent Factories
255
5.1 What Are Intelligent Factories?
255
5.2 SAP S/4HANA Manufacturing
259
5.2.1 Data Classification
259
5.2.2 Production Planning and Control
262
5.2.3 Quality Management
271
5.2.4 Plant Maintenance/Asset Management
273
5.2.5 Product Traceability
273
5.3 Warehouse Management in SAP S/4HANA
275
5.3.1 Warehouse Overview
276
5.3.2 Inbound Processing
279
5.3.3 Storage and Operations
285
5.3.4 Outbound Processing
290
5.4 SAP Warehouse Robotics
294
5.5 Manufacturing Execution with SAP Digital Manufacturing
298
5.5.1 SAP Digital Manufacturing for Execution
303
5.5.2 SAP Digital Manufacturing for Insights
333
5.5.3 Shop Floor Integration Using the Production Connectivity Model
334
5.5.4 Working with the Production Process Designer
338
5.5.5 Managing Artificial Intelligence/Machine Learning Scenarios
343
5.5.6 Enhancements in SAP Digital Manufacturing
344
5.5.7 Integration Scenarios of SAP Digital Manufacturing
347
5.5.8 SAP Digital Manufacturing for Edge Computing
348
5.5.9 Key Benefits of SAP Digital Manufacturing
350
5.6 SAP Manufacturing Suite
352
5.6.1 Components of SAP Manufacturing Suite
352
5.6.2 Key Functionality of SAP Manufacturing Suite
353
5.7 Summary
353
6 Intelligent Assets
355
6.1 What Are Intelligent Assets?
355
6.2 Enterprise Asset Maintenance Strategies
357
6.2.1 Breakdown Maintenance
358
6.2.2 Preventive Maintenance
359
6.2.3 Condition-Based Maintenance
359
6.2.4 Predictive Maintenance
359
6.3 SAP S/4HANA Asset Management
360
6.3.1 Key Functionality
361
6.3.2 Architecture and Integration
381
6.3.3 Key Benefits
383
6.4 SAP Asset Strategy and Performance Management
384
6.4.1 Key Functionality
385
6.4.2 Architecture and Integration
396
6.4.3 Key Benefits
397
6.5 SAP Predictive Asset Insights
398
6.5.1 Key Functionality
398
6.5.2 Architecture and Integration
406
6.5.3 Key Benefits
407
6.6 SAP Asset Performance Management
408
6.7 SAP Business Network Asset Collaboration
409
6.7.1 Key Functionality
410
6.7.2 Architecture and Integration
415
6.7.3 Key Benefits
416
6.8 Summary
417
7 Intelligent Personal Safety and Empowered People
419
7.1 What Are Empowered People?
421
7.2 Environment, Health, and Safety Management in SAP S/4HANA
423
7.2.1 Key Functionalities
424
7.2.2 Architecture and Integration
454
7.2.3 Key Benefits
455
7.3 SAP 3D Visual Enterprise
456
7.3.1 Key Functionalities
456
7.3.2 Architecture and Integration
462
7.3.3 Key Benefits
463
7.4 SAP Service and Asset Manager
464
7.4.1 Key Functionalities
465
7.4.2 Architecture and Integration
470
7.4.3 Key Benefits
472
7.5 Summary
473
8 Implementing Industry 4.0 Scenarios
475
8.1 Process Manufacturing and Discrete Manufacturing
475
8.2 Implementing Make-to-Order and Make-to-Stock Scenarios
479
8.3 Configure-to-Order Manufacturing for Lot Size of One Production
484
8.4 Engineer-to-Order Manufacturing for Lot Size of One Production
486
8.5 Automated Production Line with Closed-Loop Machine Integration and Control
489
8.6 Real-Time Plant Visualization
492
8.7 Real-Time Manufacturing Operations Tracking and KPI Analysis
495
8.8 After-Sale Remote Service of Products
498
8.9 Architectural Scenarios of Industry 4.0 Implementation
500
8.9.1 Manufacturing Execution System and IT-OT Integration
500
8.9.2 IoT-Based Scenarios for Digital Twin and Data Collection
507
8.9.3 Automated and Intelligent Workflows
511
8.9.4 Real-Time and Big Data Analytics
513
8.10 Summary
516
9 Planning and Change Management for Your Industry 4.0 Implementation
517
9.1 Industry 4.0 Readiness and Maturity Assessment
518
9.1.1 Industry 4.0 Readiness and Maturity Assessment Frameworks
519
9.1.2 Assessing Process Maturity
539
9.1.3 Assessing People Maturity
539
9.1.4 Assessing Technology Maturity
540
9.2 Developing the Road Map and Plan for Industry 4.0 Adoption
542
9.2.1 SIRI Prioritization Framework: TIER
543
9.2.2 Road Map Plan for Industry 4.0
548
9.2.3 How to Convince Your Project Sponsor to Invest in Industry 4.0
549
9.2.4 Common Concerns Raised by the Project Sponsors and Mitigations
551
9.3 Change Management Needed for Industry 4.0 Adoption
553
9.3.1 Information Technology and Operational Technology Change Management
553
9.3.2 Logistics and Supply Chain Change Management
556
9.3.3 People and Process Change Management
557
9.4 Technical Skill Sets Needed for Industry 4.0 Adoption
561
9.5 Tips and Strategies for Industry 4.0 Program Management
562
9.5.1 Key Reasons for Failures of Industry 4.0 Initiatives
562
9.5.2 Financial Parameters to Review for Industry 4.0 Investments
563
9.5.3 Pitfalls to Avoid in Industry 4.0 Programs
565
9.5.4 Tips to Avoid Budget Overrun for Industry 4.0 Programs
567
9.6 Summary
570
Conclusion
571
The Authors
579
Index
581