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Bridging the Digital & Physical Worlds: IoT & Model-Based Approaches in Manufacturing 1 Matthew Hause PTC Engineering Fellow, MBSE Specialist December, 2017
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Jun 07, 2020

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Page 1: Bridging the Digital & Physical Worlds: IoT & Model-Based ... › events › ca-17 › special-events › mnf-pdf › Hause.pdfproduct design improvements • Identifies manufacturing

Bridging the Digital & Physical Worlds: IoT & Model-Based Approaches inManufacturing

1

Matthew Hause

PTC Engineering Fellow, MBSE Specialist

December, 2017

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Standard Systems Engineering “V”

Operate

ProduceSupport

Connected

Engineering

Connected

Manufacturing

Connected

Service

Software

Electrical

Mechanical

Develop

TestPlan

Customer requirements, business initiatives / strategy, concept

development

Manufacturing / Service planning, execution;

after-market activities

Requirements

Management

System

Architecture

Validation

Verification

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Manufacturing

Service

Extended Systems Engineering “V”

Software

Electrical

Mechanical

Operate

ProduceSupport

Requirements Management

System Architecture

Validation

Verification

Develop

TestPlan

Connected

Engineering

Connected ManufacturingConnected

Service

Customer requirements, business initiatives / strategy, concept

development

Manufacturing / Service planning, execution;

after-market activities

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A holistic, multi-disciplinary and collaborative approach to designing and

maintaining complex systems throughout the systems lifecycle.

Closed Loop Systems Engineering

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5

Evolving MBSE Use Cases

Source; John WatsonProduct Support

Software ModelsMechanical &

Electrical Models

Q

QSET

CLR

S

R

Verification Models

Performance, RMA,

SWaP, Cost, etc.

G(s)U(s)

Analytical Models

Manufacturing

Program

Management

System

Architectural

Model

Test

P

lan

An

alysis Sp

ec

System Engineering

Development

Environment

To measure MBSE effectiveness we need to understand the context of how it is used

Customer

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Understand

Make better engineering decisions and designs using real-world data

Digital Engineering Journey

Outperform

Grow your market share and profitability though

continuous innovation on evergreen products

Advance

Achieve new levels of innovation and business results by incorporating IoT technologies into your design practices

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PLE integration across Modeling and PLMFunctional Model Structural ModelRequirements

Model

Req1

Req2

Req2.1

Req2.2

Req3

Req3.1

Req4

Func1

Func1.1

Sequence1Sequence2

Sequence3

Func2

Actor1 Block2

Block1

Block3

Port1 Port2

Connector1

Product Structure(eBOM)

Software Executables

Parts, End Items, Configurable Modules

PTC Integrity

Lifecycle Manager

Func3

PTC

Integrity

Modeler

System

Model

(SysML)

Variability Model

DecisionSet

VariationPoint

Variant

Option

Choice

Choice

VariantSelection

Options &Variants

PTC

Windchill

Requirements

Req1

Req2

Req2.1

Req2.2

Req3

Req3.1

Req4

REST/OSLC

Links

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MBSE to PLM Selection of Parts

Review and confirm the items selected for export

Drag and drop additional items from standard Modeler Browsers

Items can be defined as Windchill

PDMLink End Items or Configurable

Modules

Structure can be expanded/collapsed

Items can be marked as included/excluded for export

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Export of MBSE Variability to PLM

If the included Blocks/Block Properties have related variability

items, they are automatically included in

step 2 of the Exporter

Structure can be expanded/collapsed

Items can be marked as included/excluded for export

Review and confirm the variability items selected for export

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MBSE and PLM Traceability

Options, Choices and Option Set are

created

Parts, Part Structure and Variability Expressions are

created

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ALM, MBSE and PLM Bi-Directional Traceability

Browse Modeler data and select

items

Select items on both sides and click

Apply to create new trace links

View details and existing traces

for selected item

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PLE integration across Modeling and PLMFunctional Model Structural ModelRequirements

Model

Req1

Req2

Req2.1

Req2.2

Req3

Req3.1

Req4

Func1

Func1.1

Sequence1Sequence2

Sequence3

Func2

Actor1 Block2

Block1

Block3

Port1 Port2

Connector1

Product Structure(eBOM)

Software Executables

Parts, End Items, Configurable Modules

PTC Integrity

Lifecycle Manager

Func3

PTC

Integrity

Modeler

System

Model

(SysML)

Variability Model

DecisionSet

VariationPoint

Variant

Option

Choice

Choice

VariantSelection

Options &Variants

PTC

Windchill

Requirements

Req1

Req2

Req2.1

Req2.2

Req3

Req3.1

Req4

REST/OSLC

Links

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10

MANUFACTURING TRANSFORMATION

10

Continuously improve your operationalperformance and flexibility

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MANUFACTURING

DigitalProcesses

PredictiveAnalytics

TODAY

UNDERSTANDReal-Time Issue Identification

ADVANCE

OUTPERFORM

PerformanceBenchmarking

SynchronizedOperations

Closed-LoopDigital Thread

SupplierVisibility

AgileInnovation

AR EnabledOperations

Unified Connectivity

Role-Based Intelligence

14

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STAGE ONE: UNDERSTAND

UNDERSTANDReal-Time Issue Identification

TODAY

Unified Connectivity

Role-Based Intelligence

• Enhance existing

infrastructure with smart

sensors and modern

technologies

• Simplify data in up-to-the-

minute role-based views of

operational performance

• Broadcast real-time alerts about

assets and performance anomalies

• Connect diverse and disparate

assets, sensors, business systems

and external data sources in real time

• Improve information quality & reliability

15

Decreased unplanned downtime

• Increase operator efficiency

• Improve maintenance efficiency

• Improve product quality

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STAGE TWO: ADVANCE

• Accelerate continuous improvement

• Increased speed and flexibility

• Increased workforce efficiency

• Improved product quality

• Optimized maintenance processes

• Utilize agile methodologies to

rapidly create & continuously

evolve manufacturing

applications

• Digitally design your

manufacturing

processes & quality plans

• Employ intuitive, in-context

3D and augmented reality to

guide workers

• Apply predictive analytics to

machine health and quality

processes

DigitalProcesses

PredictiveAnalytics

UNDERSTANDReal-Time Issue Identification

ADVANCE

AgileInnovation

AR EnabledOperations

TODAY

Unified Connectivity

Role-Based Intelligence

16

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STAGE THREE: OUTPERFORM

• Deploy physical-digital closed-

loop processes to drive

continuous improvement

• Implement consistent

KPIs and operations-wide

performance benchmarking

to identify and implement

best practices

• Synchronize resources to

ensure flawless execution of

production

• Obtain supplier production

visibility to gain early status

into performance and quality

DigitalProcesses

PredictiveAnalytics

UNDERSTANDReal-Time Issue Identification

ADVANCE

OUTPERFORM

PerformanceBenchmarking

SynchronizedOperations

Closed-LoopDigital Thread

AgileInnovation

AR EnabledOperations

TODAY

Unified Connectivity

SupplierVisibility

Role-Based Intelligence

• Improve and perfect

production processes

• Improve profitability

• Reduce unplanned downtime

• Shorten lead times

• Improve agility and

responsiveness

20

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ThingWorx Manufacturing Apps

Controls EngineerPlant Manager Maintenance

ThingWorx Production Advisor ThingWorx Asset Advisor ThingWorx Controls Advisor

Transform your performance by giving your operations teams unprecedented capabilities to see, understand and act in real time. ThingWorx manufacturing apps accelerate your time-to-value and offer unmatched flexibility.

Ensure OT Network Data Quality

Unified real-time monitoring of all connected end points and related data elements on the OT system network.

Rapidly and flexibly trend data to troubleshoot issues

Reduce unplanned downtime

Real-time monitoring of the status and health of critical production assets. Detect anomalies to identify potential issues that

could result in unplanned downtime.

Optimize Production Performance

Real-time monitoring of production status and critical KPI’s. Detect and react instantly to production schedule and quality issues.

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19PTC MBSE

Device Code

Data Links

MashupThings

IoT system architecture design for complex systems

Systems flow-down to IoT software modeling

Automated IoT code generation for ThingWorx

Edge-device to Cloud and Edge-device to Edge-device

CONNECT

MODEL-DRIVEN IOT

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20

MBSE - UNIFY

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DIGITAL PROCESSES

Manufacturing processes, quality plans, and work instructions are defined and delivered digitally

• Accelerates time-to-volume production through thedigital validation of manufacturing processes

• Improves operator efficiency through delivery of 3D/ARwork instructions and in-process quality validation

• Improves product quality by defining control characteristics and validation requirements from the 3Dmodels

• Accelerates change propagation with associativeengineering and manufacturing change management

PTC Solutions:

• ThingWorx Platform

• Windchill MPMLink

Digital Processes

Customers:

37

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22

Import Creo NC

process plan

DEMO VIDEO

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AUGMENTED REALITY ENABLED OPERATIONS

Immersive factory experiences improve training, work instructions, quality validation, maintenance execution, and operations monitoring by layering digital information onto the user’s physical world

• Increases workforce efficiency and flexibility by deliveringeasy-to-consume, guided instructions

• Dramatically improves training speed and outcomesthrough cognitively rich digital / physical user experiences

• Improves quality assurance through use of AR as a quality-control visual validation technique

• Improves safety by making workers aware of in-contextsafety risks

PTC Solutions:

• ThingWorx Studio and ThingWorx View

• MPMLink

AR Enabled Operations

Customers:

36

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What if you could create and use augmented reality experiences in less than

a minute? … with your engineering data?

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CLOSED-LOOP DIGITAL THREAD

Physical manufacturing processes are compared with digital models to identify opportunities for continuous improvement.

• Uses closed-loop feedback from production to identifyproduct design improvements

• Identifies manufacturing process and quality improvements based on production outcomes

• Continuously assesses gaps between the physical/digitalrealities to improve and perfect production processes

PTC Solutions:

• ThingWorx Platform (Connectivity,

Foundation, analytics)• MPMLink• Q3 – Kinex for Manufacturing

Customers:

Closed-Loop Digital Thread

42

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GE Brilliant Factory

• “Get Connected, Get Insights, Get Optimized”

• 530 plants in total. 75 in 2016

Airbus Factory of the Future

• “Future digital technology will be introducedeverywhere in the factory”

DENSO “Dantotsu” Factories

• “Linking 130 factories at home and abroad by2020”

IN THE WORDS OF LEADING MANUFACTURERS

2

9

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Questions and Answers

DescriptionDescription You

:Attendee

Me

:Speaker

loop1

You

:Attendee

Me

:Speaker

loop1 while open questions exist

Question1.1

end loop

while open questions exist

Question1.1Question

Answer1.1.1Question

Answer1.1.1AnswerAnswer

end loop

{Speech Time}{Speech Time}

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43

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CUSTOMER STORIES

44

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CNB STREAMLINES MANUFACTURING WITH DIGITAL PROCESSPLANNING

“The PTC Manufacturing

Process Management

solution helps streamline our

R&D and manufacturing

processes.”

“PTC has delivered a solution

that is in line with the vision

we have for improving our

product development and

manufacturing processes.”

CNB

45

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GE TRANSPORTATION, GROVE CITY

10 to 20% reduction in

unplanned downtime

46

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A GLOBAL FOOD LEADER INCREASES PRODUCTIVITY

5 to 8% improvement in

productivity

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SMART, CONNECTED ASSEMBLY LINE FOR IMPROVED QUALITY

Leading aircraft manufacturer with €40 billion in revenue and

55,000 employees

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SOLAR TURBINE

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Enabling Timely Data Driven Decisions

- Rapid Time to Value with 6 weeks IoT sprints

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PREDICTIVE MAINTENANCE TO REDUCE UNPLANNED DOWNTIME

Predicting alarms 24 hours in

advance, with a 91% accuracy

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52

CASCADES – CONNECTIVITY INSIGHT

“I will show the tool to my team and use it every time we have support calls

regarding data collection”

- Benoit Lapensee, Director of MES