1 APAC Innovation Summit Hong Kong April 7 th 2016
2 Internet of Things An infrastructure of interconnected objects, people, systems and information resources together with intelligent services to allow them to process information of the physical and the virtual world and react.
3 JTC1 Strategic Group 5 Internet of Things IoT sketched in terms of Requirements and Stakeholders Application domains and use cases Technologies
4 Strategic Group 5 Mind Map
5 IoT Applications & Use Cases
6 IoT Technologies
7 SG5 & WG10 Standards & RA identification Over 525 IoT related Standards Data collected from 10 SDOs ISO, IEC, JTC 1, ITU-T, 3GPP, CEN, GS1, OGC, OMA, OMG and mapped to the Technologies identified by the Mind Map, analyzing gaps, overlaps, etc. Over 30 Standards of Reference Architectures & Frameworks reviewed and summarized (JTC 1, ISO, IEC, ITU-T, IoT-A, IoT-i, etc.), identifying requirements for IoT Reference Architectures (general & application specific)
8 How to get those works?
9 Who develops IoT Standards? UPnP Forum The Open Group AllSeen IEEE P2413 IIC onem2m OGC W3C OMA GS1 ITU-T SG 20 OIC
10 IoT Interoperability Context SOURCE: AIOTI/WG 3
11 WG10 works on Reference Architecture (RA) Systems Reference Architecture (SRA): Describes the IoT Systems from system perspective Communications Reference Architecture (CRA): Describes the IoT Systems from communication technology perspective Information Reference Architecture (IRA): Describes the IoT Systems from information technology perspective
12 Industry 4.0 & Smart Manufacturing Strategic Group 8 Outreach to JTC1 WG Internet of Things
13 IEC Strategic Group 8
14 Manufacturing Value Stream MATERIAL: Sourcing of material and its passage through many process stages resulting in the disposal or delivery of material in a product form to a customer ENERGY: Sourcing of energy in the form of Labor, Water, Air, Gas, Electricity, Steam, to the consumption and generation of energy of individual processes to the delivery of re-useable energy (e.g. heat, steam) or waste products for recycle purposes. PRODUCT LIFE CYCLE: defines the process steps from the creation of the product idea, through the design, prototype, build, assembly, test, delivery, application, use and service of the product. FACTORY LIFE CYCLE: addresses the investment, process and automation planning, modeling and simulation of the designed plant, acquisition of plant resources, build and commissioning, production operation, maintenance and the ultimate tear down and disposal of the plant assets. SUPPLY CHAIN: addresses the Purchasing and Quality Management of incoming materials and resources, together with the sales, and delivery logistics of the completed products. ORDER to ENTRY: addresses order entry, production planning, manufacturing execution systems, production operation including equipment monitoring and control, order status reporting, order delivery, installation, service and invoicing. HUMAN RESOURCE MANAGEMENT: organizes the acquisition, training, deployment, development, and maintenance of skilled employees with required capabilities to perform needed functions ACCOUNTANCY: collects cost and utilization data from each of the functions within the organization to manage ultimate productivity and profitability for the enterprise
15 Smart Manufacturing Description Smart Manufacturing facilitates the collection of real time data that can improve decision making in the value chains of manufacturing which will enhance the efficiency and performance of the plant and increase overall productivity. Smart Manufacturing applies to all types of domains from discrete parts to production batches to continuous process applications, such as exhibited in Aerospace, Automotive, Semiconductor, Food & Beverage, Metals & Mining, Pharmaceutical and Oil and Gas industries.
16 Stakeholders in the smart manufacturing domain Large Multi-National Manufacturing Enterprises; Small to Medium Manufacturing companies within global supply chains; Wholesale, Distribution, Retail, Product distributers; Customers and their associated post sale product support services; Communities supported by local manufacturing factories employment; tax base; environment National Governments, and their regulatory agencies Standards development organizations; Conformity Assessment Service providers
17 SG8 Objective Identify which functions, domains are within the IEC scope. Identify which functions, areas are being standardized in other organizations. Identify the interfaces, overlaps and gaps within and between domains and functions that need to be addressed by the standards communities. Create a standards roadmap of the smart safe secure sustainable enterprise standards activities and create a portfolio of deliverables to form a cohesive set of standards to sustain smart manufacturing system implementation. Leverage new technology e.g. Internet of Things, Cloud, Big Data Analytics, new sensor and process technologies where applicable in the scope.
18 SG8 Expected results To provide a common framework supportive of all instances of models being proposed in related standards and consortia activities Referenced Models include: RAMI 4.0 model from Industry 4.0 Industrial Internet Consortium Architecture ISA S95 models To propose a common framework for smart manufacturing
19 Smart Manufacturing Standards Manufacturing Automation standards currently address the planned Safety of plant, equipment and personnel Security of data, and equipment Sustainability and Environmental Regulation Compliance Factory Floor Communication Systems Quality of Product Energy Efficiency of Equipment Lean / Just In Time Material Utilization Machine / Process Diagnostics and Preventive Maintenance Smart Manufacturing requires the collection of real time data that can improve decision making in manufacturing value chains which enhances the efficiency and performance of the plant and increases overall productivity
20 Activity domains within an enterprise Business Planning & Development Business Scheduling & Operations Business Sales, Service & Support Level F4 Establishing demand for production, material use, delivery, and shipping. Determining enterprise wide inventory levels. Time Frame - Months, weeks, days Product / Mfg. System Planning, Design, Development & Engineering Manufacturing Operations Management (MOM) Product Transport, Deployment, Service & Support Level F3 Work flow / recipe control, schedule, assign and managed the jobs to produce the desired end products. Maintaining records and optimizing the production process. Time Frame - Days, Shifts, hours, minutes Materials, Energy & Utilities Receiving, Storage & Supply Sourcing & Planning domains Process / Equipment Automation & Control Making domain Resource/Waste Delivery, Recovery & Disposal Delivering & Returning domains Level F2 - Monitoring, supervisory control and automated control of the production process Level F1 - Sensing and manipulating the production process Level F0 - Actual physical processes Time Frame Hours, minutes, seconds, fractions of a second Activity domains differ by functional clusters and decision horizons References: ISO 15704, IEC 62264, ISO 18435
21 Different manufacturing lifecycles with respective phases DISPOSE/RECYCLE SERVICE/USE DELIVER/DISTRIBUTE MANUFACTURE/MAKE DESIGN/DEVELOP CONCEPTUALIZE/FORM IDEA ENTERPRISE LIFECYCLE DISSOLVE/MERGE SUPPLY CHAIN LIFECYCLE PRODUCT LIFECYCLE MAINTAIN/GROW OPERATE FORM DESIGN DISCOVER QUALIFY QUALIFY NEGOTIATE CONTRACT COLLABORATE DISENGAGE ENVISION
22 SG8 Standards Survey 1 of 2 Similar to the existing approach that Industrie RAMI-40-English.pdf did with the Smart Grid Architecture Model, (SGAM), ftp://ftp.cencenelec.eu/en/europeanstandardization/hottopi cs/smartgrids/reference_architecture_final.pdf, a Standards Attribute Survey will be sent to the relevant IEC TC s and ISO TC s to provide a first set of data to collect information the gaps and overlaps of each domain / value stream within the RAMI4.0 model.
23 Smart Grid Architecture Model
24 SG8 Standards Survey 2 of 2 SG8 Survey is found at: RAMI4.0 Mapping example
25 How different models can be mapped to RAMI4.0 example A
26 How different models can be mapped to RAMI4.0 example A
27 How different models can be mapped to RAMI4.0 example B
28 How different models can be mapped to RAMI4.0 example B
29 Relevant consortia programs and standards National Smart Manufacturing Programs Germany Industry 4.0, China Fusion of Informatization and Industrialization Korea Manufacturing Innovation 3.0, Japan IMS (Intelligent Manufacturing Systems program), USA multiple Industry-Academia consortia programs (next slide) Internet of Things IEEE P2413 Standard for an Architectural Framework for the Internet of Things (IoT) ISO/IEC JTC1 WG10 Internet of Things ITU Study Group 20 "IoT and its applications including smart cities and communities". ISO Activities Strategic Advisory Group (SAG) on Industry 4.0/Smart Manufacturing ISO TC184 Industrial Automation Standards ISO 8000 Data Quality Standards ISO/IEC JTC 1/SG 2 Big Data IEC Activities Strategic Group 8 Industry 4.0 / Smart Manufacturing IEC TC 17, 22, 44, 65, 66, 71, 108, 111, 118 are addressing current automation standards
30 Digital Manufacturing and Design Innovation Institute (DMDII) US Industry - Academia Initiatives Industrial Internet Consortium Smart manufacturing (leadership) coalition Smart manufacturing web page NIST advanced Manufacturing Program Office NIST Cyber Security Framework Georgia Tech Activities University of Kentucky Activities
31 SG8 Challenges ITU-R spectrum allocation Harmonization of data descriptions of smart mfg. resources Standardization of multi-vendor value chains and life cycle models within smart mfg. Development and usage of Use Cases Horizontal topics security/safety/environmental/energy/cps - be addressed in all views of models and architecture Preservation of real time response in a data intensive exchange environment Changing regulatory and conformity assessment requirements IoT architectures must meet the needs of smart mfg. Legacy systems and bringing together different visions of smart mfg. (consortium, national initiatives, etc.) IT resource challenge
32 Smart Manufacturing Enterprise Challenge Actionable, accurate validated data delivered to the right place and right time within the enterprise to facilitate improved decision making Consistent terminology, definitions and data representation within the industry A high level of security and safety integrated within the smart systems deployed Ability for the installed base to evolve and adapt to changing production requirements Complete Life Cycle Management to be addressed across the enterprise For the Product from Concept to Market to Obsolescence For the Production facility from Concept to Installation, Commission and end of life For the Supply Chain from Initial offer to obsolescence of the product Asset, Resource and Supply management For the sales order to product delivery and after sales support For Finance from Customer Quote to Cash
33 APAC Innovation Summit Hong Kong April 7 th 2016