thingworx - econocap

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Jens Peter Hervil PTC/User 2019 - Nyborg THINGWORX INDUSTRIAL INNOVATION PLATFORM

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Page 1: THINGWORX - Econocap

Jens Peter Hervil

PTC/User 2019 - Nyborg

THINGWORXINDUSTRIAL INNOVATION PLATFORM

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• IIoT is about applying digital technology to the physical world and creating value– IIoT is about much more than acquiring data from

machines– This physical digital convergence requires

orchestration of product design content, operational data, supporting business systems, and the people who operationalize processes

• While there are common, recurring solution patterns, all enterprise solutions require customization to meet complex use cases

• Solutions demand agility – this means enabling domain experts, partners, and customers themselves to participate in the solution design, creation, and evolution

THE ESSENCE OF INDUSTRIAL INTERNET OF THINGS SOLUTIONS

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• A system of integral capabilities for creating solutions with physical and digital convergence

• An ecosystem of partners and developers

THINGWORX IS…

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THINGS ARE CHANGING

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IOT CREATES ENORMOUS BUSINESS OPPORTUNITY

DRIVE NEW

REVENUE STREAMS

Unlock new business

models and realize new value-add opportunities

DIFFERENTIATE

OFFERING

Increase pace

of product andservice innovation

IMPROVE CUSTOMER

EXPERIENCE

Leverage data from

connected products for improved service,

support and usability

OPTIMIZE BUSINESS

PROCESSES

Combine real-time data

with existing systems to increase efficiency

$¥£

C

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CONNECTED PRODUCT MATURITY MODEL

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SERVICE EXPECTATIONS ARE RAPIDLY TRANSFORMING

/

“For every $1 in equipment sales, we have the potential for $12 in sales of services.”

“When we ask customers, they keep telling us, ‘I don’t want to just buy your products – I want you to help me operate more effectively and efficiently.’”

– Kevin Bollum, Vice President of Building Services, Trane

Manufacturers Expect Services to Provide Increased

Revenue and Profitability

1

Customers Are Demanding Outcomes,

Not Products

2

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SERVICE IS THE LEADING USE CASE FOR IOT

Smart, Connected Products Drive Two Levels of Accelerated Service Transformation

Operational Effectiveness

Reactive Proactive

On Site Remote

Blind Data Driven

Historic Present & Future Product Value Chain

Strategic Differentiation

Break Fix Performance Based

New Product Sales Products as a Service

Equipment Uptime Operation Optimization

Customer Value Chain

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23% of manufacturing service leaders have adopted a proactive maintenance approach, focused on product monitoring- IDC

38% of manufacturing service leaders have adopted a preventive maintenance approach- IDC

40%of Top 100 discrete manufacturers plan to provide Product as a Service- IDC

70% of global discrete manufacturers will offer connected products - IDC

CONNECTED PRODUCTS AND DIGITALIZATION ARE KEY TO A SUCCESSFUL TRANSFORMATION

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Faster Service Delivery

CUSTOMER IMPROVED BUSINESS OUTCOMES

Reduced Cost Of Service Growth in Service Revenue

50%

Reduction in mean

time to repair

Reduction in case

resolution time

50%

Reduction in truck

rolls

Reduction in

unplanned downtime

Reduction in service

requests

15-30 %

15-40 %

66%

12-30% Increase in service

contract renewals

Increase in customer

satisfaction

33%

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• 15-30% less truck rolls/field service visits (Abbot Diagnostics, Electa, Applied Biosystems)

• 66% reduction in service requests (Converse)

• 15% -40% reduction in unplanned downtime ( Diebold, Leica)

• 33% increase in customer satisfaction (Egenera)

• 5% increase in service productivity (Leica)

• 50% decrease in case resolution time (NetApp)

• 15% reduction in service costs (Phillips Healthcare)

• 12% - 30% increase in service contract renewals (Phillips Healthcare, Quantum Corp)

• 50% reduction in mean time to repair (Varian Medical)

• 42% reduction in on-site visits (Varian - $2k per visit)

CUSTOMER REFERENCES

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CONNECTED PRODUCT MATURITY MODEL

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THINGWORX ADDRESSES THE CHALLENGES TO REALIZING THAT BUSINESS OPPORTUNITY

Excited about

Industrial Innovation but not sure how to

get started

Finding necessary

resources that understands the

entire stack

Unforeseen costs

with maintaining and improving a

DIY approach

Inability to

anticipate future needs

Created one app

but unable to scale or

modernize

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Purpose-Built for Industrial

Innovation

Quickly Create & Deploy Industrial

Apps & AR Experiences

Wrap & Extend Existing Technology

Agile &Flexible

Expansive Ecosystem

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• The Thing Model is a collection of entities that represent your process, solution or application.

• Things provide context into your IoT data and are the building blocks for application developers

• Things have structure and relationships that represent your real world objects

THE THING MODEL

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2020

THINGS AS APPLICATION BUILDING BLOCKS

Things

3c90056

56a897c

4jklzp0

Enterprise Systems

Service

Sales

Finance

Manufacturing

Engineering

Operations

Properties• Running hours• Average temp• Warranty• Load Size

Services• Check Wash• Update firmware• Report Failure

Events• Wash Complete• Wash Started• Malfunction

Appliance

Thing Template

PropertiesServicesEventsSubscriptions

Subscriptions• Clothes ready• Detergent

available

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THINGWORX INDUSTRIAL CONNECTIVITY

• Powered by Kepware, the industry’s leadingindustrial connectivity platform

• Library of 150+ device & client drivers and advanced plug-ins — supporting thousands of devices and other data sources

• Provides operations data to traditional Industrial Automation clients (via OPC and proprietary protocols) and new IoT solutions (via MQTT & IT-centric protocols)

• Meets the highest standards of quality through third-party validation

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COMPOSER THING MODELING TOOL

Model KepServer Tags into the ThingModel

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• Mashups are the fastest way to build IoT desktop and web applications

• Mashups allow you to see and interact with your Things

• The Mashup Builder is the WYSIWYG developer tool for creating content

MASHUPS

Properties

Panel

Widget

Area

Layout

Area

Connections

Area

Services

Area

Service

Properties

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SAMPLE MASHUP CONTENT

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THINGWORX ASSET ADVISOR FOR SERVICE

CAPABILITIES

• Monitor multiple asset performance in real-time

• Alerts based on thresholds or irregular operating conditions

• Notification of alerts via email or text message

• Detailed views of sensor information to help troubleshooting

• Provides remote access to assets

• Bi-directional file transfers with asset

Sensor data detects irregular operating conditions Detailed view of

sensor information

Asset list with operating status and alerts

Take actions before failures occur

Prevent unscheduled downtime by

anticipating issues

Reduce travel cost with less service visits

Detect irregular operating conditionsBENEFITS

25

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• Workflow Builder enables business users to quickly build automated and repeatable workflows

• Workflow Manager provides monitoring and analyzing workflows

• Integration connectors allow back-end system connectivity (SAP ERP, Windchill)

INTEGRATE BUSINESS SYSTEMS AND PROCESS

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DELIVERING VALUE TO ENTERPRISES THROUGH DIGITAL TRANSFORMATION

AZURE CLOUD SERVICESINTEGRATION TO MICROSOFT DYNAMICS 365HOLOLENS SUPPORT IN THINGWORKS

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SERVICE INTEGRATION – MICROSOFT VIDEO

https://www.youtube.com/watch?v=azo_kTWehwM&feature=youtu.be

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Problem statement

• Companies see HoloLens as a way to put AR in production – but it is hard to create the experiences for HoloLens!

New ThingWorx Studio

• Out-of-the box, fast & easy creation of HoloLens experiences without coding

Benefit

• For many companies – it is the AR content authoring breakthrough needed to deploy HoloLens commercially at scale

• A viable wearable option

MICROSOFT HOLOLENS SUPPORT

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ENABLES KNOWLEDGE TRANSFER

simulated wing

assembly

30% fasterBOEING & IOWA STATE

Source: AREA

comprehending

training instructions

47% fasterSRI

Source: SRI

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REAL-TIME INTELLIGENT ANOMALY DETECTION

• Finds anomalies in real-time

• Automatically observes and learns the normal state pattern

• No need for setting rules or applying pre-calculations

• Monitors for anomalies and delivers real-time

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PREDICTIVE INTELLIGENCE ENGINE

Machine learning is used to automatically build and validate predictive models without assistance from a statistician, using data from your your Things data as a learning source.

• A patent-pending technology explores various sophisticated predictive modeling algorithms to determine the best algorithm to use for each data set and predictive topic

• Automated machine learning ready data preparation without ETL (when used with ThingWorx Composer)

• Dramatically reduces or eliminates the need for an expert team in modeling algorithms or technologies

• Automatically identifies and reveals which data signals are most important in predicting outcomes

• These predictive models are instantly usable to perform predictions and optimization determine recommendations

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AUTOMATED PREDICTIVE INSIGHTS

• Automatically build and validate predictive models without assistance from a statistician, using your Thing data as a learning source

• Subscribe your “things” to one or more predicted outcomes (time to failure, future efficiency, etc.)

• Real-time or batch predictions (“scoring”)

• Uses prediction models generated by ThingWorx Analytics Server or equivalent PMML-compliant prediction model generation tool

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AUTOMATED PREDICTIVE MODELING WITH THINGWORX ANALYTICS

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AUGMENTED REALITY IS NOW !

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