GE Digital: Industrie 4.0 und Digitale Transformation€¦ · Early Warning of Increased Spindle...

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GE Digital:Industrie 4.0 und Digitale Transformation

SQF Automation Day |19.07.2017| Nü[email protected]

mailto:[email protected]

GE’s Digital Transformation Story

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CONFIDENTIAL GE Digital International LLC Copyright © All Rights Reserved19.07.2017"Industrie 4.0 und Digitale Transformation" | Automation Day 3

GE Annual Report 2016

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GE moved from a Burning Platform to Digital Transformation

DEFENSE(Early 2010s)

Protecting Service Contracts

OFFENSE(Today)

Focus on Productivity and New Offerings, Markets,

& Models

19.07.2017"Industrie 4.0 und Digitale Transformation" | Automation Day


+Cloud-based platform for

Industrial Internet

Capabilities for Industrial

companies

Connected assets Industrial datamanagement

Cloud & mobile Industrial datascience

Enterprise visibility Manufacturing intelligence

Operations & execution

Predictive maintenance

Reliability Increase availability and

longer asset life

Cost ReductionLower operating costs with

greater efficiencies

Risk MitigationLower operations

and financial risk

Profitable GrowthIncrease production for

market advancement

PredixTM Platform is the enabler



GE’s Digital Industrial Transformation Strategy

Partner Ecosystem

Digital Talent and Culture

Business Model Innovation

Capabilities & Operating Model

Data and Connected

Infrastructure

1 2 3 4 5

GE for GE“Productivity”

GE for Customers“Apps”

GE for the World“Platform”

Ou

r P

lay

Ho

w w

e W

in

Harness the Platform Go Together, Go Far Building Digital DNA

Change the Game

Very different capability set than consumer internet; GE is building capabilities that are necessary to win

All About Outcomes

19.07.2017"Industrie 4.0 und Digitale Transformation" | Automation Day 6


Digital ExpertiseSoftware developers and architecture • User experience design • Product management • Solution architecture • Data science • Cybersecurity analysts

Industrial ExpertiseMechanical, electrical, chemical, and industrial engineering • Material science • Computer science • Physics • Product management

GEDigital

Revenuein 2015

Goal of being atop 10 software

company by 2020

4,000 15,000 $5B Top 10

Employees across GE

GE Digital employees



Predix Platform Overview

Predix Platform BriefDetails see:

https://www.predix.com/sites/default/files/predix-the-industrial-internet-platform-from-ge-digital-brief.pdf


Predix Platform https://www.predix.io/

https://www.predix-ui.com/#/components/px-vis-timeseries/

Analytics

ServicesDocumentation

UI Components

...

https://www.predix.io/

https://www.predix-ui.com/#/components/px-vis-timeseries/


Growing GE Digital Partner Ecosystem


Joint Selling Customized Solutions Strategic Partnerships

SystemIntegrators

ISVs TelcosTechnology

PartnersResellers

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The Digital Transformation Playbook

Systematically Ascend the Maturity Curve

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• Asset Utilization• Operational Cost

Reduction• Worker Productivity• Industrial Data

Standardization (Data Semantics)

• Products-as-a-service • Pay per Use• Software Based

Services • Data Monetization

• Pay per outcome • New connected

ecosystems• Platform enabled

marketplace

• Continuous real time demand sensing

• End to end automation

• Resource optimization and waste reduction

Operational Capability

New Products & Services

New Business Models

Autonomous, Pull Economy



Digital Industrial Transformation – GE‘s Playbook


https://www.ge.com/digital/industrial-internet/what-digital-industrial-transformation

https://www.ge.com/digital/industrial-internet/what-digital-industrial-transformation

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How does GE define Digital Industrial?

Create a Digital TwinServes as the digital foundation.

Enable the Digital ThreadCreates a virtuous loop of continuous improvements.

Business Model Innovation Runs Through the Plant FloorCreate the OT and IT capabilities that enable innovation.


Digital Twin

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The Digital Twin

Outcomes• Early warnings• Predictions• Optimizations


Digital Twin – Illustration (Video Screens)

DigitalTwin.mp4


Digital Twin – Outcomes Examples


Early Warning of Increased Spindle Wear on a CNC Lathe

Avoids ~$45k in Costs

What did GE Digital’s software find?

Beginning in February, GE Digital’s Predictive Quality Monitoring solution detected a

deviation on a CNC lathe at a heavy industry manufacturing plant. The spindle load

exceeded 150% of the rated power for more than 10 seconds on a particular cut on a high

volume part process. This behavior continued to repeat for each part run. GE Digital’s

Industrial Performance & Reliability Center (IPRC) sent out a high priority notification and

added this item to the weekly report for discussion with the customer.

What was the underlying cause?

After the alert from the IPRC, the customer discovered that the tooling selected for the

feature cut was a 1” step drill chosen to limit chip stringing. Although chip stringing was

limited, this tool choice was inadvertently causing very high chip loads. When the

customer realized the sub-optimal tooling selection and its potential impact on spindle

life, the decision was made to select a different tool to make the same feature cut while

decreasing wear on the spindle and limiting chip stringing.

What was the value to the customer?

Due to the early notification from the IPRC, the customer was able to reevaluate their tool

choice in order to significantly prolong spindle life. This catch is estimated to have

avoided approximately $45k in production losses and spindle replacement costs.


Digital Thread

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DESIGN

MANUFACTURING

QUALITY

OPERATIONS

EQUIPMENT

SUPPLY CHAIN

Virtual Product Design

Virtual Manufacturing

Supply

Chain

NetworkProduction

feedback loop

Service/Repair Shop

Design feedback

loop

Factory Floor

Equipment

Quality

On time delivery 58%

Throughput

Outcomes

Downtime 10 -15%

Labor costs 14%

Inventory 30%

Lead time 60%


Digital Thread - Brilliant Factory Reference Architecture


Aviation Digital Thread Benefit Examples

$13M Overall Cost out

• Lynn CFM Combustor Computer Aided Design (CAD) eliminates Computer

Aided Manufacturing (CAM) steps

• Model based assembly engineering & digitized assembly instructions

• Linked Models from connected analysis to CAD to CAM reducing cycle,

rework and escapes

• Optimized feed rates for reduced machining cycle and tool life

• On-machine probing replacing operator for reduced cycle

$22M Overall Fleet Performance Productivity

• GE90 engine new Analytics Based Maintenance (ABM)

• GE90 engine improvement to existing ABM

• Actual characteristic data from supply chain used to improve the

engine cumulative damage models

• GE shop and supplier characteristics used to analyze Hot Gas Path

Digital Productivity

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GE Annual Report 2016

Summary


GE Digital FoundriesKickstart Your Digital Industrial Transformation


Work side-by-side applying design thinking and rapid co-creation methodsBusiness Opportunity Exploration, Data Science, Proof of Concepts tied to customer needs

Digital Transformation Blueprint Service for customers who want to build a roadmap for Digital Transformation

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