industrial internet & smart manufacturing · pdf filethingswise, llc –© 2017,...

Thingswise, LLC – © 2017, All Right Reserved

®

Industrial Internet & Smart Manufacturing

IIC-Plattform Industrie 4.0 World Tours, Burlingame, December 08, 2017

Shi-Wan LinCEO & Co-Founder, Thingswise, LLC

[email protected]

Co-Chair, Technology WG & Architecture TG, IICCo-Chair, Architecture Joint Task Group, Plattform Industrie 4.0 & IIC

Co-Chair, Vocabulary and Reference Architecture, NIST CPS Public Working Group

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Part I

Architecture Alignment & Interoperability

An IIC & Plattform Industrie 4.0 Joint Whitepaper

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Jointly Publish a Whitepaper onArchitecture Mapping & Alignment between IIRA & RAMI 4.0

http://www.iiconsortium.org/iic-i40-joint-work.htm

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• Contributed by members of from both organizations

• 60+ draft revisions over 10+ month with several rounds of internal reviews in each organization

• Independently approved by each organization

Shi-Wan Lin (Thingswise)Erich Clauer (SAP)Ralf Neubert (Schneider Electric)Madhusudan Pai (Wipro)Heinrich Munz (KUKA) Stephen Mellor (IIC)

Brett Murphy (RTI)Ulrich Loewen (Siemens)Gerd Bachmann (VDI)Martin Hankel (Bosch Rexroth)Erich Barnstedt (Microsoft)

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• Highly complementaryo IIRA: broad applicability and interoperability across industrieso RAMI 4.0: in-depth focus on manufacturing & value-chain lifecycles

• The concepts, methods and models map to each other well

• Different emphasis in scope & depth from different perspectiveso together strengthen the digitalization of manufacturing and beyondo IIRA: analytics capability; RAMI 4.0: I4.0 Components

• Important to enable interoperability among IIoT systems that are based on IIRA & RAMI 4.0

• Common ground to enable connectivity/communication/connectivity/ semantic interoperability

IIRA RAMI4.0

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Industrial Internet, the Core Idea

IntelligentIndustrial Operations

TransformationalBusiness Outcomes

IIoT

Analytics Driving Optimal Decision-Making

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Deep

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Healthcare

Buildings & Infrastructure

Transportation & Logistics

Power/Utilities

Oil & Gas

Manufacturing

Agriculture

IIoT - a simple idea,widely applicable

Digitalization-driven optimizationfrom assets to processes,through the value chains, across enterprises & industries, end-to-end

Bro

ad

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Collaboration Between IIC and I4.0

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Driving the digitalization of industries:

advances the adoption of the industrial internet on a global scale that transcends industry boundaries

coordinates the Industrie 4.0-driven digital transformation of the German industry

Chicago, June 2016

Heidelberg, Sept 2016

Zurich

, No

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15

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JTG1: Lifecycle Perspectives

JTG4: Interoperability & Standards

JTG2: Architectures Alignment

JTG5: Security

JTG3: Collaboration on Testbeds

Collaboration Between IIC and I4.0

JTG6: Coordination & Roadmap...

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IIRA & RAMI 4.0

Industrial Internet Reference Architecture Reference Architecture Model for Industrial 4.0

addresses concerns about IIoT, emphasizing its broad applicability and interoperability across industries

takes an in-depth focus on manufacturing and related value-chain lifecycles.

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Implementation Viewpoint

Functional Viewpoint

Usage Viewpoint

Business Viewpoint

Gu

ide

Val

idat

e &

Rev

ise

Identify & classify important system architectureconcerns into related categories – viewpoints -for their analysis and resolution.

Business vision & value driven, concern-resolution centric, iterative design methodology

IIRA – Business Value Driven Methodology

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biz values, objectives & capabilities

Usage activities

Functional decomposition & structureInterfaces & interactions

Activity &functional to technologies mappingImplementation Viewpoint

Functional Viewpoint

Usage Viewpoint

Business Viewpoint

Business View

Usage View

Functional View

Implementation View

IIRA - Architectural Templates and Models

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…

Intelligen

t & R

esilient C

on

trol

Industria

l Analy

tics

Dis

tribute

d D

ata

Mana

gem

en

t

Conn

ectiv

ity

Functional Domains

Business

Ap

plic

atio

n

Physical Systems

ActuationSense

Control

Info

rmat

ion

Op

erat

ion

sSystem Characteristics

Trustworthiness

Identify major common functional domains& their relation and interaction.

Identify major cross-cutting functions

Identify major system characteristics asemerging system properties

IIRA – Comprehensive Architecture Considerations

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RAMI4.0 – A Comprehensive Model for Manufacturing

identify standards requirementsassess applicability of relevant standardsrecommend best-fitting standards

Full Interoperability

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Industrie 4.0 Component

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Broad InteroperabilityCommon Model & Interface

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Industrial Internet Connectivity Framework

• a new IIoT stack model for mapping the rich connectivity landscape• an open connectivity reference architecture for interoperability• an assessment template for selecting suitable technologies and frameworks

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RAMI Communication Stack

• I4.0-compliant access to information and functions of a networked asset • a uniform I4.0 data format and a unified I4.0 communication• communication across multiple axes – described separately in each partition

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A Mapping of IIRA & RAMI 4.0

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Similarities & Differences

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A Functional Alignment between IIRA & RAMI 4.0

…

Intelligen

t & R

esilient C

on

trol

Ind

ustria

l An

aly

tics

Dis

tribu

ted D

ata

Ma

na

gem

ent

Co

nnectiv

ity

Functional Domains

Business

Ap

plic

atio

n

Physical Systems

ActuationSense

Control

Info

rmat

ion

Op

erat

ion

s

System Characteristics

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System Interoperability

Manufacturing Operations

Un

iqu

e Id

enti

fier

fo

r A

sset

s

Un

iqu

e Id

enti

fier

fo

r P

rop

erti

es

Stan

dar

diz

ed

Sem

anti

cs

Stan

dar

diz

ed

Fun

ctio

ns

Asset Usage Data For Enineering Processes

Predictive Maintenance

Maintenance Services

...

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IIRA & RAMI 4.0 share strong correspondence with many similar concepts. When differ, they are commentary in nature enhancing each other from the different prospects they offer in responding to the IIoT challenges.

We need interoperability between systems built based on them.

The better understanding of complementary nature of IIRA & RAMI 4.0 enables cooperation across industries,interoperability among systems across industries…

IIRA RAMI4.0

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Part II

Applying Industrial Internet

in Smart Manufacturing

An Architectural Approach

IIoT for Smart Manufacturing (ARC - Industrial IoT/Industrie 4.0 Viewpoints)

• https://industrial-iot.com/2017/09/iiot-smart-manufacturing/• https://industrial-iot.com/2017/09/iiot-smart-manufacturing-part-2-digital-thread-digital-twin/• https://industrial-iot.com/2017/10/iiot-smart-manufacturing-part-3-new-digitalization-architecture/

https://industrial-iot.com/2017/09/iiot-smart-manufacturing/

https://industrial-iot.com/2017/09/iiot-smart-manufacturing-part-2-digital-thread-digital-twin/

https://industrial-iot.com/2017/10/iiot-smart-manufacturing-part-3-new-digitalization-architecture/

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Manufacturing Challenge & Response

Personalizationof Products

Globalization Of Market

Consumerizationof the Internet

Cost

Quality Efficiency

Change

dynamic responses to changes

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Digitalization of manufacturing

optimized manufacturing processes driven by

information to dynamically respond to changes

Information comes from analytics of data, lots of data…

Industrial Internet of Things

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The Digitalization of Manufacturing Environment

Cyber Physical Systems (CPS)

Product Design

Process Planning

Production Engineering

Product Chain

PLM

CAx

CAMSimulation

ALM : Asset Lifecycle Management == Production Lifecycle Management, to distinguish from Product Lifecycle Management (PLM)

SystemDesign

Build

Commission

Operation &Maintenance

Decommission

MRO

ALM

Disposal &Recycling

Asset Chain

APM

Manufacturing

Delivery & Distribution

Value Chain

Product Orders

Production Planning

Material & Supply

Customer support

ERP

SCM

CRM

MES

QMS

Multi-product small-batch

customized mass production，Rapid response to market demand

The introduction of more diverse,

more sophisticated products

in a shorter innovation cycle

High performance and quality at low cost

by dynamic optimization of the

deployment of production resources

Create value-added services and enable business transformation

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Digital Twin: A digital model for a product

• assessing capabilities & discovering deficiencies, • optimizing manufacturing & operational processes, • improving product designs,• precise product recall scope

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Digital Thread & Digital Twin

Product Design

Process Planning


Product Chain

PLM

CAx

CAMSimulation

Manufacturing


Value Chain

Product Orders

Production Planning

Material & Supply

Customer support

ERP

SCM

CRM

MES

QMS

SystemDesign

Build

Commission


Decommission

MRO

ALM

Disposal &Recycling

Asset Chain

APM

Digital Thread

3D MBE

Digital Twin

As Manufactured: Production data

As Designed: Design model, process & engineering data

As Maintained: Usage & maintenance data

Digital Thread:• Integrate manufacturing functions • Integrate product data for digital models

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Cyber Physical Systems(CPS)

Product Design

Process Planning


Product Chain

PLM

CAx

CAMSimulation

Manufacturing


Value Chain

Product Orders

Production Planning

Material & Supply

Customer support

ERP

CRM

MES

QMS

SystemDesign

Build

Commission


Decommission

MRO

ALM

Disposal &Recycling

Asset Chain

APM

Digital Thread

3D MBE

SCM

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IIoT & Analytics in Manufacturing

Digital Twin

Manufacturing

MES

QMS


Material & Supply

Realtime Monitoring

OEE

Fault Det. & Diag.

Predictive Maint.

Quality Analysis

Energy Optimization

Asset Perf. Mgmt

Product Data

Analytics

Supply Chain Data Analytics

PLM

ERP

MESProduction

Data Analytics

Process Optimization

Streaming Data Analytics:Responsive to events in the physical world

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Product Design

Process Planning


Product Chain

PLM

CAx

CAMSimulation

Manufacturing


Value Chain

Product Orders

Production Planning

Material & Supply

Customer support

ERP

SCM

CRM

MES

QMS

SystemDesign

Build

Commission


Decommission

MRO

ALM

Disposal &Recycling

Asset Chain

APM

Digital Thread3D MBE

2

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Longitudinal Cross-domain Data Mining Analytics

Batch Big Data Analytics:To identify performance bottlenecks and inefficiencyTo build models for runtime analytics and engineering simulationsTo understand product usage patterns and customer preferences

Batch Big Data Analytics for Manufacturing

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Distributed Industrial Analytics

Processes Data Lakes

Data Collection & Process

Streaming Analytics

Big Data Storage

Batch Analytics

Data Integration

Digital Twin

Dynamic Machine & Process DataIn

form

ation

D

istribu

tion

Pro

cesses A

pp

lication

s

Responsiveness, reliability & security to production needs

Large computing resources for model building, Big Data and simulation

Cloud

Edge

Plants

Enterprise/ecosystem

Factories

Thingswise delivers a scalable distributed streaming analytics stack that are easy to deploy and maintain.

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Digital Manufacturing – An Overlaying Architecture

Orchestration & Control

Information

Data

Data

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Overlaying Architecture Mapping to IIRA

Functional Domains

Business

Ap

plic

atio

n

Physical Systems

ActuationSense

Control

Info

rmat

ion

Op

erat

ion

s

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IIoT – the Vision of Optimization

Downtime is predicted and prevented

Waste and defects are eliminated

Supply are replenished in time and surplus production minimized

Worker safety is ensured and sustainability is maintained

Full visibility to operation status providing access to real time, actionable information – operation management to mission control

industrial internet & smart manufacturing · pdf filethingswise, llc –© 2017,...

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