APAC Innovation Summit Hong Kong April 7th 2016

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.”

JTC1 Strategic Group 5 Internet of Things

• IoT sketched in terms of − Requirements and Stakeholders − Application domains and use cases − Technologies

Strategic Group 5 Mind Map

IoT Applications & Use Cases

IoT Technologies

• 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@Work, IoT-A, IoT-i, etc.), identifying requirements for IoT Reference Architectures (general & application specific)

SG5 & WG10 – Standards & RA identification

http://www.jtc1.org How to get those works ?

oneM2M

IIC

UPnP Forum

The Open Group

AllSeen

OGC

W3C OMA

IEEE P2413

GS1

OIC

ITU-T SG 20

Who develops IoT Standards?

IoT Interoperability Context

SOURCE: AIOTI/WG 3

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

Industry 4.0 & Smart Manufacturing

Strategic Group 8 Outreach to JTC1 WG “Internet of Things”

IEC Strategic Group 8

• 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

Manufacturing Value Stream

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.

Smart Manufacturing Description

• 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

Stakeholders in the smart manufacturing domain

• 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.

SG8 Objective

• 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

SG8 Expected results

• 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

Smart Manufacturing Standards

Activity domains within an enterprise

Product / Mfg. System Planning,

Design, Development &

Engineering

Business Planning & Development

Materials, Energy & Utilities Receiving,

Storage & Supply

Process / Equipment

Automation & Control

Resource/Waste Delivery,

Recovery & Disposal

Product Transport,

Deployment, Service & Support

Business Scheduling & Operations

Business Sales, Service & Support

“Making” domain “Sourcing” &

“Planning” domains “Delivering” &

“Returning” domains

Activity domains differ by functional clusters and decision horizons

Manufacturing Operations

Management (MOM)

References: ISO 15704, IEC 62264, ISO 18435

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

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

Level F4 Establishing demand for production, material use, delivery, and shipping. Determining enterprise wide inventory levels. Time Frame - Months, weeks, days

Different manufacturing lifecycles with respective phases

DISPOSE/RECYCLE

SERVICE/USE

DELIVER/DISTRIBUTE

MANUFACTURE/MAKE

DESIGN/DEVELOP

MANUFACTURE/MAKE

DESIGN/DEVELOP

CONCEPTUALIZE/FORM IDEA CONCEPTUALIZE/FORM IDEA

PRODUCT LIFECYCLE

ENVISION

DESIGN

FORM

OPERATE

MAINTAIN/GROW

DISSOLVE/MERGE

ENTERPRISE LIFECYCLE

QU

ALIFY

DISCOVER

QU

ALIFY

NEGO

TIATE

CON

TRACT

COLLABO

RATE

DISENGAGE

SUPPLY CHAIN LIFECYCLE

Similar to the existing approach that Industrie 4.0 http://www.zvei.org/Downloads/Automation/ZVEI-Industrie-40-RAMI-40-English.pdf did with the Smart Grid Architecture Model, (SGAM), ftp://ftp.cencenelec.eu/EN/EuropeanStandardization/HotTopics/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.

SG8 – Standards Survey 1 of 2

Smart Grid Architecture Model

SG8 Standards Survey 2 of 2

https://www.surveymonkey.com/r/IEC_SG8_standards

RAMI4.0 Mapping example

SG8 Survey is found at:

How different models can be mapped to RAMI4.0 – example A

How different models can be mapped to RAMI4.0 – example A

How different models can be mapped to RAMI4.0 – example B

How different models can be mapped to RAMI4.0 – example B

• 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

Relevant consortia programs and standards

http://www.iiconsortium.org/about-us.htm Industrial Internet Consortium https://smartmanufacturingcoalition.org/

Smart manufacturing (leadership) coalition http://smartmanufacturing.com/what/

Smart manufacturing web page http://manufacturing.gov/amnpo.html

NIST advanced Manufacturing Program Office http://www.nist.gov/cyberframework/

NIST Cyber Security Framework http://www.cdait.gatech.edu/

Georgia Tech Activities http://www.ism.uky.edu/2014/11/21/sustainable-manufacturing-roadmap-workshop-documents/

University of Kentucky Activities http://digitallab.uilabs.org

Digital Manufacturing and Design Innovation Institute (DMDII)

US Industry - Academia Initiatives

• 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

SG8 Challenges

• 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

Smart Manufacturing Enterprise Challenge

APAC Innovation Summit Hong Kong April 7th 2016