IEC TR 63283-2:2022

Industrial-process measurement, control and automation - Smart manufacturing - Part 2: Use cases

IEC TR 63283-2:2022(EN) has the goal of analyzing the impact of “Smart Manufacturing” on the daily operation of an industrial facility. It focusses on the perspective of automation and control of the production system, but also on the supporting processes of ordering, supply chain management, design, engineering and commissioning, operational technology, life cycle management, and resource management.
These recommendations are accomplished on the basis of several carefully selected use cases that are familiar to manufacturing industry. Therefore, each use case is described, followed by an analysis of the possible influence of “Smart Manufacturing” and the assessment of the impact on existing and future standardization.

General Information

• Status: Published
• Publication Date: 08-Mar-2022
• ICS: 25.040.40 - Industrial process measurement and control
• Technical Committee: TC 65 - Industrial-process measurement, control and automation
• Drafting Committee: WG 23 - TC 65/WG 23
• Current Stage: PPUB - Publication issued
• Start Date: 05-Apr-2022
• Completion Date: 09-Mar-2022

Standards Content (Sample)

IEC TR 63283-2 ®
Edition 1.0 2022-03
TECHNICAL
REPORT
colour
inside
Industrial-process measurement, control and automation – Smart
manufacturing –
Part 2: Use cases
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IEC TR 63283-2 ®
Edition 1.0 2022-03
TECHNICAL
REPORT
colour
inside
Industrial-process measurement, control and automation – Smart

manufacturing –
Part 2: Use cases
INTERNATIONAL
ELECTROTECHNICAL
COMMISSION
ICS 25.040.40 ISBN 978-2-8322-1085-9

– 2 – IEC TR 63283-2:2022  IEC 2022
CONTENTS
FOREWORD . 7
INTRODUCTION . 9
1 Scope . 11
2 Normative references . 11
3 Terms and definitions . 11
3.1 General . 11
3.2 General terms and definitions . 11
3.3 Business roles . 13
3.4 Human roles . 14
3.5 Technical roles acting as object only . 16
3.6 Technical roles acting as subject or object . 18
4 Abbreviated terms and acronyms . 21
5 Conventions . 22
5.1 General . 22
5.2 Description of use cases . 22
5.3 Selection guidance for elaborated use cases . 23
5.4 Reference frame for use cases . 23
5.5 Clustering of use cases . 24
5.6 Developing additional use cases . 25
6 Use cases . 25
6.1 Use case cluster “Order-controlled production” . 25
6.1.1 Manufacturing of individualized products . 25
6.1.2 Flexible scheduling and resource allocation . 29
6.1.3 Outsourcing of production . 32
6.1.4 Engineering of design for manufacturing and request/order
management . 35
6.1.5 Intra-facility logistics . 38
6.1.6 Decision support for product configuration . 40
6.2 Use case cluster “Adaptable factory” . 42
6.2.1 Modularization of production systems . 42
6.2.2 Reconfiguration of adaptable production systems . 46
6.2.3 Migration to adaptable production systems . 48
6.2.4 Standardization of production technologies . 51
6.2.5 Adaptable robot cells . 54
6.3 Use case cluster “Management of assets” . 57
6.3.1 Administration of assets. 57
6.3.2 Virtual representation of physical assets . 60
6.3.3 Feedback loops . 63
6.3.4 Update and functional scalability of production resources . 66
6.3.5 Condition monitoring of production resources . 68
6.3.6 Self-optimization of production resources . 71
6.4 Use case cluster “Optimization of production execution” . 73
6.4.1 Optimization of operations . 73
6.4.2 Simulation in operation . 76
6.4.3 Optimization of operation through machine learning. 78
6.4.4 Service workflow management for production systems . 81

6.4.5 Successive improvement of production systems . 84
6.5 Use case cluster “Energy efficiency” . 87
6.5.1 Design for energy efficiency . 87
6.5.2 Optimization of energy . 89
6.5.3 Design for participation in decentralized energy networks . 92
6.5.4 Participation in decentralized energy networks . 94
6.6 Use case cluster “Design and engineering” . 96
6.6.1 Seamless models . 96
6.6.2 Simulation in design and engineering . 99
6.6.3 Virtual commissioning of production systems . 103
6.6.4 Optimization in design and engineering through machine learning . 106
6.6.5 Immersive training of production system personnel . 108
6.6.6 Co-creation in design . 111
6.7 Use case cluster “Product and production services” . 114
6.7.1 Value-based services for production resources . 114
6.7.2 Benchmarking of production resources . 118
6.7.3 Production resource as-a-service. 120
6.8 Use case cluster “IT-infrastructure and software” . 123
6.8.1 Device configuration . 123
6.8.2 Information extraction from production systems . 126
6.8.3 Rule-driven software applications . 128
6.8.4 Integration of engineering-tools . 131
6.8.5 Human-machine interface . 134
6.8.6 Cyber security infrastructure and setup . 137
6.8.7 Cyber security management and maintenance . 141
6.8.8 Engineering for cyber security . 144
6.8.9 Support for tactical and strategic decision making . 146
6.8.10 Additive manufacturing . 149
Annex A (informative) Use case template . 153
Annex B (informative) General understanding of use cases . 154
Annex C (informative) Relation to use cases in the draft elaboration . 156
Annex D (informative) Additional draft use cases . 158
D.1 General . 158
D.2 Inter-facility logistics . 158
D.2.1 Objective . 158
D.2.2 Overview . 158
D.2.3 Business context . 159
D.2.4 Technical perspective . 159
D.2.5 Interaction of roles . 159
D.2.6 Expected change and impact . 159
D.2.7 Recommendations for standardization . 159
D.3 Safety setup and management . 160
Bibliography . 161

Figure 1 – Related subjects to Smart Manufacturing . 9
Figure 2 – Overall structure of use cases . 22
Figure 3 – Value added processes within a manufacturing company . 23
Figure 4 – Example for value added processes across different companies . 24

– 4 – IEC TR 63283-2:2022  IEC 2022
Figure 5 – Illustration of the use case cluster . 25
Figure 6 – Business context of “Manufacturing of individualized products” . 26
Figure 7 – Technical perspective of “Manufacturing of individualized products” . 27
Figure 8 – Business context of “Flexible scheduling and resource allocation” . 30
Figure 9 – Technical perspective of “Flexible scheduling and resource allocation” . 30
Figure 10 – Business context of “Outsourcing of production" . 32
Figure 11 – Technical perspective of “Outsourcing of production” . 33
Figure 12 – Business context of “Engineering of design for manufacturing and
request/order management” .
...