busting the myth of digital twins and planning them ......this presentation, including any...

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Busting the Myth of Digital Twins and Planning Them Realistically

Marc Halpern,

Research Vice President

Cross Industries and Advanced Mfg.

[email protected]

1 © 2017 Gartner, Inc. and/or its affiliates. All rights reserved.

A Personal Story


Key Topics

What makes digital twins compelling?

What are the priorities and risks of investing in a digital twins initiative?

What are best practices to avoid digital twin failures?


Key Topics





What is a Digital Twin?

Physical Object Digital Twin


Digital Twins are More Than the Model

ModelA model of the "thing"

Datae.g., identity, status, context, ...

MonitorQuery state, obtain notifications

AnalyticsRules, predictions, algorithms,

SimulationSimulate the real-world "thing"

ControlTwins can control the

"thing" they represent

UniquenessEach physical thing has at

least one unique twin

© 2015 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner and ITxpo are registered trademarks of Gartner, Inc. or it’s affiliates.

Facilities and Infrastructure as Digital Twins


Not All Digital Twins Need to be High Fidelity Physics Models

Digital twins should provide you with a

view into assets — based on your

business objectives

In the era of IoT, we should be able to

have a detailed view of every device.

If you do not have this view you will

be commoditized.

By 2020, OEMs Must Have a Digital Twin Strategy or Risk Commoditization

Image sources: Courtesy of L. Shamanna, A. Velosa, A. Johnson


Digital Twins Drive Better Decisions

Image source: Gartner and GE Aviation (www.geaviation.com/digital)

Emirates and GE Use Digital Twins to Optimize Maintenance and Identify Engines Requiring Extra Inspection

Blade erosion

GE90 turbine

http://www.geaviation.com/digital


Things and Processes Will Increasingly Involve Digital Twins

https://www.gerenewableenergy.com/content/dam/gepower-renewables/global/en_US/downloads/3d-still-images/wind-onshore-digital-wind-farm-representation-1900px.jpg

https://www.gerenewableenergy.com/content/dam/gepower-renewables/global/en_US/downloads/3d-still-images/wind-onshore-digital-wind-farm-representation-1900px.jpg


Majority of organizations are using or plan to use Digital Twins in the next year itself

In your IoT solution implementation, is your organization also adopting digital twins?

Source: Gartner, 2017© 2017 Gartner, Inc.

8%

20%

7%

19%

24%

24%

Percentage of Respondents

Base: All respondents, excluding "don't know" responses, n = 200

Not familiar with this technology

Not planning to use digital twins

Not using, but planning to use in four or more years

Not using, but planning to use in the next three years

Not using, but planning to use in the next year

Already using digital twins

48%{


Key Topics





Priorities for Digital Twins Drive New Business Opportunities

Business

Model

Economic

Architecture

Business

Concept

Digital

Twins

#GartnerSYM13 CONFIDENTIAL AND PROPRIETARY I © 2017 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner and ITxpo are registered trademarks of Gartner, Inc. or its affiliates.

Digital Twin Value Depends on Your Core Perspective

AssetOEMs

Owner orOperatorof Assets

Main Focus

Value

Challenges

External

Product improvement

Customer service

New business models

Your product team will

need to become a

software + hardware team

Internal

Cost reductions

Process improvements

Safety

Your operations team will

have to integrate multiple

tech companies


Digital Twin Asset Views: Business Objective Dependent

Rental Fleet

Manager:

Age and miles

Utilization rate

Maintenance $$$

Car User:

Car location

Status (battery, etc.)

Performance

Understanding the relevant business decisions drives the design of digital twin personas.

Image sources: Cars: https://commons.wikimedia.org/wiki/File:Dude,_wheres_my_car%3F_(323784683).jpg — under the Creative Commons Attribution-Share Alike 2.0 Generic license.

Tesla: https://upload.wikimedia.org/wikipedia/commons/thumb/9/9f/Tesla_Model_S_charging_Folsom_CA_trimmed.jpg/320px-Tesla_Model_S_charging_Folsom_CA_trimmed.jpg —licensed under the Creative Commons Attribution 3.0 Unported license.

https://commons.wikimedia.org/wiki/File:Dude,_wheres_my_car?_(323784683).jpg

https://upload.wikimedia.org/wikipedia/commons/thumb/9/9f/Tesla_Model_S_charging_Folsom_CA_trimmed.jpg/320px-Tesla_Model_S_charging_Folsom_CA_trimmed.jpg


You Will Need to Marry Quarreling Ecosystems to Maximize Your Digital Twin Value

Tech Provider

Ecosystem

Digital Twin Model

Developer

Analytics

Integration

Contextual Data

Services

Semiconductor

Enterprise Ecosystem

Component Asset Vendor

Asset Vendor

Asset Owner

Asset Operator

Asset Servicer

IT/OT Stake-holders

Who Is Responsible

for Integration,

Security, Overall

Functionality?

YOU


Digital Twin Cautions

Data ownership and confidentiality

Data interchange/integration standards

Unclear value of data collected Skills, IT, design, simulation, ...

Vendor lock-in

Longevity of technology and models

Vendor "twin washing"


Key Topics





Determine the Digital-Twin-Enabled Business Models (Strategic Business Architecture)

Betterinsights

Customer lifetime value

Customer revenue increase

Economic value analysis

Dynamic contextual data(e.g., weather, location, social media feeds)

Betterdecisions

Prediction on customer behavior

Predict equipment status

Better future-oriented decisions on customers

Increase our:

Revenue

Retention

Return on "loss leaders"

Lower costs

Newproducts

Data streams

Thing models

Utility-based services

Monetize data in new ways.

Establish digital twin model stores.

Become the "master DT" to our customer.

Business Concept Business Model Economic Architecture


Intelligence

Things IT Systems

EcosystemsCustomers

Scope the Digital Twin Technologies Needed (Conceptual Architecture)

ENGAGE

SENSE

INTERACT

RUN

DECIDE 1011011

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Define the Digital Twin Integration Plan (Logical Architecture)

Internal Apps (CRM, ERP,

Analytics, etc.)

Ecosystem Apps (Supply Chain, Digital

Commerce, etc.)

Cloud Apps and Services (CRM, Analytics, etc.)

IoT Endpoints (Simple or Complex)

Digital Marketplace

Connectors

Data

Contextual

Current

Time Series

Events

MonitorMessages

Partner APIs Open APIs

Internal APIs

Model Development

Functional Models

Bill of MaterialsIdentity

Finite Element Analysis

UniquenessIdentity of Things

Partner

Developer

Portals

Partner

Developer

PortalsPartner

Platforms

IoT Platform

External Digital PlatformIoT Endpoints

Analytics

Simulation

Control


Evaluate IoT and Digital Twin Technologies, Services and Disciplines (Implementation Architecture)

Keep Your Digital Twin as Simple as Possible, but No Simpler Than That.

Digital Twin

Model

Metadata

Monitor, Analytics

Simulation

Enterprise Systems

CAD ModelsPhysics-Based Model

Statistical ModelsFunctional Models

Operational HistoryMaintenance HistoryAggregate Fleet Data

Asset Data

Context Data

Operational Data

Operational Data

Control

Local Model

Unique Identity

Image source: Courtesy of Engie and C3 IoT


Digital Twin – Best Modeling Practices

© 2017 Gartner, Inc.

Ensure long access life

cycles

Include data from many

sources

Establish well-documented

modelling practices

Involve the entire product value chain

Engage suppliers, partners, and customers in planning and selections

• Maximize editing flexibility

• Plan for the “unexpected”

• Protect against vendor “lock in.”

• Adopt “standards”

• Adopt ISO standards

• Part 10303

• Part 14306

• Part 14739

• Standards-based apps


Enable Comprehensive Simulation Modeling and Management

© 2017 Gartner, Inc.

System

Model

Detailed

Stress

Analysis Near

Crack

Mass

Transport

Model

Structural

Analysis

Model

Thermal

Management

Model

Geometric

Model

Sensor DataSimulation

DataDigital twin model and data management:

Map simulation data and models

Orchestrate multiphysics effects

Hire model and simulation data management functions

Map contextual external data to digital twins


Recommended Gartner Research

Four Best Practices to Avoid Digital Twin Failures

Marc Halpern, Andrew Stevens, Alexander Hoeppe (G00331611)

Innovation Insight for Digital Twins — Driving Better

IoT-Fueled Decisions

Alfonso Velosa, W. Roy Schulte and Others (G00324871)

Use the IoT Platform Reference Model to Plan Your IoT

Business Solutions

Benoit J. Lheureux, Yefim V. Natis and Alfonso Velosa (G00311536)

Hype Cycle for the Internet of Things, 2017

Alfonso Velosa, W. Roy Schulte and Benoit J. Lheureux (G00314298)

Digital Twins Will Impact Economic and Business Models

Alfonso Velosa and Dale Kutnick (G00328808)

For more information, stop by Gartner Zone.

https://www.gartner.com/document/3645341



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Thank You!

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