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BSI PD IEC TR 63283-2:2022

BSI PD IEC TR 63283-2:2022

$215.11

Industrial-process measurement, control and automation. Smart manufacturing – Use cases

Published By Publication Date Number of Pages
BSI 2022 170
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PDF Catalog

PDF Pages PDF Title
2 undefined
6 CONTENTS
11 FOREWORD
13 INTRODUCTION
Figures
Figure 1 – Related subjects to Smart Manufacturing
15 1 Scope
2 Normative references
3 Terms and definitions
3.1 General
3.2 General terms and definitions
17 3.3 Business roles
18 3.4 Human roles
20 3.5 Technical roles acting as object only
22 3.6 Technical roles acting as subject or object
25 4 Abbreviated terms and acronyms
Table 1 – Abbreviated terms and acronyms
26 Figure 2 – Overall structure of use cases
5 Conventions
5.1 General
5.2 Description of use cases
27 Figure 3 – Value added processes within a manufacturing company
5.3 Selection guidance for elaborated use cases
5.4 Reference frame for use cases
28 Figure 4 – Example for value added processes across different companies
5.5 Clustering of use cases
29 Figure 5 – Illustration of the use case cluster
5.6 Developing additional use cases
6 Use cases
6.1 Use case cluster “Order-controlled production”
6.1.1 Manufacturing of individualized products
30 Figure 6 – Business context of “Manufacturing of individualized products”
31 Figure 7 – Technical perspective of “Manufacturing of individualized products”
33 6.1.2 Flexible scheduling and resource allocation
34 Figure 8 – Business context of “Flexible scheduling and resource allocation”
Figure 9 – Technical perspective of “Flexible scheduling and resource allocation”
36 Figure 10 – Business context of “Outsourcing of production”
6.1.3 Outsourcing of production
37 Figure 11 – Technical perspective of “Outsourcing of production”
39 6.1.4 Engineering of design for manufacturing and request/order management
40 Figure 12 – Business context of “Engineering of design for manufacturing and request/order management”
Figure 13 – Technical perspective of “Engineering of design for manufacturing and request/order management”
42 6.1.5 Intra-facility logistics
43 Figure 14 – Business context of “Intra-facility logistics”
Figure 15 – Technical perspective of “Intra-facility logistics”
44 6.1.6 Decision support for product configuration
45 Figure 16 – Business context of “Decision support for product configuration”
Figure 17 – Technical perspective of “Decision support for product configuration”
46 6.2 Use case cluster “Adaptable factory”
6.2.1 Modularization of production systems
47 Figure 18 – Business context of “Modularization of production systems”
Figure 19 – Technical perspective of “Modularization of production systems”
50 6.2.2 Reconfiguration of adaptable production systems
51 Figure 20 – Business context of “Reconfiguration of adaptable production systems”
Figure 21 – Technical perspective of “Reconfiguration of adaptable production systems”
52 6.2.3 Migration to adaptable production systems
53 Figure 22 – Business context of “Migration to adaptable production systems”
54 Figure 23 – Technical perspective of “Migration to adaptable production systems”
55 6.2.4 Standardization of production technologies
56 Figure 24 – Business context of “Standardization of production technologies”
Figure 25 – Technical perspective of “Standardization of production technologies”
58 6.2.5 Adaptable robot cells
59 Figure 26 – Business context of “Adaptable robot cells”
60 Figure 27 – Technical perspective of “Adaptable robot cells”
61 6.3 Use case cluster “Management of assets”
6.3.1 Administration of assets
62 Figure 28 – Business context of “Administration of assets”
Figure 29 – Technical perspective of “Administration of assets”
64 6.3.2 Virtual representation of physical assets
65 Figure 30 – Business context of “Virtual representation of physical assets”
66 Figure 31 – Technical perspective of “Virtual representation of physical assets”
67 6.3.3 Feedback loops
68 Figure 32 – Business context of “Feedback loops”
69 Figure 33 – Technical perspective of “Feedback loops”
70 6.3.4 Update and functional scalability of production resources
71 Figure 34 – Business context of “Update and functional scalability of production resources”
Figure 35 – Technical perspective of “Update and functional scalability of production resources”
72 6.3.5 Condition monitoring of production resources
73 Figure 36 – Business context of “Condition monitoring of production resources”
74 Figure 37 – Technical perspective of “Condition monitoring of production resources”
75 6.3.6 Self-optimization of production resources
76 Figure 38 – Business context of “Self-optimization of production resources”
Figure 39 – Technical perspective of “Self-optimization of production resources”
77 6.4 Use case cluster “Optimization of production execution”
6.4.1 Optimization of operations
78 Figure 40 – Business context of “Optimization of operations”
79 Figure 41 – Technical perspective of “Optimization of operations”
80 6.4.2 Simulation in operation
81 Figure 42 – Business context of “Simulation in operation”
Figure 43 – Technical perspective of “Simulation in operation”
82 6.4.3 Optimization of operation through machine learning
83 Figure 44 – Business context of “Optimization of operation through machine learning”
84 Figure 45 – Technical perspective of “Optimization of operation through machine learning”
85 6.4.4 Service workflow management for production systems
86 Figure 46 – Business context of “Service workflow management for production systems”
87 Figure 47 – Technical perspective of “Service workflow management for production systems”
88 6.4.5 Successive improvement of production systems
89 Figure 48 – Business context of “Successive improvement of production systems”
Figure 49 – Technical perspective of “Successive improvement of production systems”
91 6.5 Use case cluster “Energy efficiency”
6.5.1 Design for energy efficiency
92 Figure 50 – Business context of “Design for energy efficiency”
Figure 51 – Technical perspective of “Design for energy efficiency”
93 6.5.2 Optimization of energy
94 Figure 52 – Business context of “Optimization of energy”
95 Figure 53 – Technical perspective of “Optimization of energy”
96 6.5.3 Design for participation in decentralized energy networks
97 Figure 54 – Business context of “Design for participation in decentralized energy networks”
Figure 55 – Technical perspective of “Design for participation in decentralized energy networks”
98 6.5.4 Participation in decentralized energy networks
99 Figure 56 – Business context of “Participation in decentralized energy networks”
Figure 57 – Technical perspective of “Participation in decentralized energy networks”
100 6.6 Use case cluster “Design and engineering”
6.6.1 Seamless models
101 Figure 58 – Business context of “Seamless models”
102 Figure 59 – Technical perspective of “Seamless models”
103 6.6.2 Simulation in design and engineering
105 Figure 60 – Business context of “Simulation in design and engineering”
106 Figure 61 – Technical perspective of “Simulation in design and engineering”
107 6.6.3 Virtual commissioning of production systems
108 Figure 62 – Business context of “Virtual commissioning of production systems”
109 Figure 63 – Technical perspective of “Virtual commissioning of production systems”
110 6.6.4 Optimization in design and engineering through machine learning
111 Figure 64 – Business context of “Optimization in design and engineering through machine learning”
Figure 65 – Technical perspective of “Optimization in design and engineering through machine learning”
112 6.6.5 Immersive training of production system personnel
113 Figure 66 – Business context of “Immersive training of production system personnel”
114 Figure 67 – Technical perspective of “Immersive training of production system personnel”
115 6.6.6 Co-creation in design
116 Figure 68 – Business context of “Co-creation in design”
117 Figure 69 – Technical perspective of “Co-creation in design”
118 6.7 Use case cluster “Product and production services”
6.7.1 Value-based services for production resources
120 Figure 70 – Business context of “Value-based services for production resources”
Figure 71 – Technical perspective of “Value-based services for production resources”
122 6.7.2 Benchmarking of production resources
123 Figure 72 – Business context of “Benchmarking of production resources”
Figure 73 – Technical perspective of “Benchmarking of production resources”
124 6.7.3 Production resource as-a-service
125 Figure 74 – Business context of “Production resource as-a-service”
126 Figure 75 – Technical perspective of “Production resource as-a-service”
127 6.8 Use case cluster “IT-infrastructure and software”
6.8.1 Device configuration
128 Figure 76 – Business context of “Device configuration”
Figure 77 – Technical perspective of “Device configuration”
130 6.8.2 Information extraction from production systems
131 Figure 78 – Business context of “Information extraction from production systems”
Figure 79 – Technical perspective of “Information extraction from production systems”
132 6.8.3 Rule-driven software applications
134 Figure 80 – Business context of “Rule-driven software applications”
Figure 81 – Technical perspective of “Rule-driven software applications”
135 6.8.4 Integration of engineering-tools
136 Figure 82 – Business context of “Integration of engineering-tools”
137 Figure 83 – Technical perspective of “Integration of engineering-tools”
138 6.8.5 Human-machine interface
140 Figure 84 – Business context of “Human-machine interface”
Figure 85 – Technical perspective of “Human-machine interface”
141 6.8.6 Cyber security infrastructure and setup
142 Figure 86 – Business context of “Cyber security infrastructure and setup”
143 Figure 87 – Technical perspective of “Cyber security infrastructure and setup”
145 6.8.7 Cyber security management and maintenance
146 Figure 88 – Business context of “Cyber security management and maintenance”
Figure 89 – Technical perspective of “Cyber security management and maintenance”
148 6.8.8 Engineering for cyber security
149 Figure 90 – Business context of “Engineering for cyber security”
Figure 91 – Technical perspective of “Engineering for cyber security”
150 6.8.9 Support for tactical and strategic decision making
151 Figure 92 – Business context of “Support for tactical and strategic decision making”
Figure 93 – Technical perspective of “Support for tactical and strategic decision making”
153 6.8.10 Additive manufacturing
154 Figure 94 – Business context of “Additive manufacturing”
155 Figure 95 – Technical perspective of “Additive manufacturing”
157 Annex A (informative)Use case template
158 Annex B (informative)General understanding of use cases
159 Figure B.1 – Classification of use cases in terms of IIRA
Figure B.2 – Relation between selected templates for use cases
160 Annex C (informative)Relation to use cases in the draft elaboration
Table C.1 – Use cases in the draft elaboration
162 Annex D (informative)Additional draft use cases
D.1 General
D.2 Inter-facility logistics
D.2.1 Objective
D.2.2 Overview
163 Figure D.1 – Business context of “Inter-facility logistics”
D.2.3 Business context
D.2.4 Technical perspective
D.2.5 Interaction of roles
D.2.6 Expected change and impact
D.2.7 Recommendations for standardization
164 D.3 Safety setup and management
165 Bibliography

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BSI PD IEC TR 63283-2:2022
$215.11