get value from iot in operations, predictive maintenance ... · tooling, agvs… must be connected....

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Get Value from IoTin Operations, Predictive Maintenance & Quality

Nikolaos GeorgantasSenior Solutions EngineerJuly 3rd , 2019

4th Industrial Revolution: The Industrial and Digital Worlds are Converging, not Colliding.

GE 2016,John G. Rice, Vice Chairman of GE and President and CEO of GE Global Growth Organization

“

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http://www.gereports.com/author/john-g-rice-ge/

Next Gen of Operational Technologies is Digital Native

• 3D printers, Cobots, connected tooling, AGVs… must be connected.

• Artificial Intelligence will run complex operations.

• Innovations will come from data and digital improvement.

• Digital OT must be secured and enterprise grade by design.

From Industry 1.0 to Industry 4.0

(Connected humans, parts, machines, partners)

1 42 3

End18th century

Early70’

TodayEarly20th century

Mechanical

Electrical

Electronics & IT

Cyber Systems


• Digital twin data connects the digital and the physical worlds for faster innovation.

• Next best action AI helps to tackle human and machine errors.

• Open collaboration with partners helps Innovation.

• Data transparency helps decision making.

Constant Innovation is theHeart of Success


Only Smart Connected Enterprises will Survive


In a Highly Connected World

Smart Connected Factory Brings the Power of Digitization within the Four Walls of Your Plants

Know in real-time from data transparency

Connected & disconnected factories monitoring

Production monitoring & predictive maintenance

Asset monitoring and predictive issue resolution

Quality monitoring and training

KNOW DECIDE EXECUTE LEARN

Decide the next best action based on KPIs

Execute predictive actions

Learn from the fieldand run best practices


• Predictive alerts and next best action based on production line.

• Anticipate potential yield drop.

• Optimize your maintenance scheduling, downtime costs and spare parts purchasing.

• Bigdata root cause analysis for maintenance optimization.

Production Monitoring & Predictive Maintenance

Silos, Predefined VerticalMonitoring

Global Value ChainCorrelation AdaptivePrescriptiveIntelligent

Before After


Production Monitoring & Predictive Maintenance


The Value of Analytics for Equipment Availability

Multi-level reliability

analytics detect issues that

are not easily caught during

regular maintenance

Machine learning technology

continuously learns from

sensor data to create failure

predictions

Reliability issues can

automatically generate

incidents in service

management system or work

orders in order management

system

LEVEL 3 – EQUIPMENT IS LIKELY TO HAVE A PROBLEM (Predictive)

There is a 75% probability of temperature of milling machine exceeding 250o F in the next 4 hours

LEVEL 2 – EQUIPMENT MAY HAVE A PROBLEM

Milling machine is trending > 5% outside of normal temperature of all other units

LEVEL 1 – EQUIPMENT HAS A PROBLEM

Milling machine temperature is higher than 250o F threshold limit


• Monitors assets to provide predictive alerts.

• Next best action based on asset efficiency and field data.

• Optimize maintenance reaction to reduce downtime and costs.

Asset Monitoring and Predictive Issue Resolution

Break / FixStatic Analytics

Real-TimeProactive Big-DataNext Best Action

Before After


Asset Monitoring and Predictive Issue Resolution



Improve Asset Utilization Through Predictive Analytics

• Reduce asset downtime

• Use past performance to build predictive failure models

• Generate advance notification when patterns are detected

• Incorporate machine learning to continuously refine predictive capabilities

35%

Improvement in inventory turns

48%

Reduction in unplanned downtime

25%

Reduction in asset maintenance costs

Reduction in defects

49%

Critical Metrics Set to Improve with Edge ManufacturingOpportunity is significant

2015 Survey SCM World

23%

Reduction in new product introduction cycle time

17%

Reduction in energy costs

16%

Improvement in overall equipment effectiveness



“It is not the strongest species that survive, nor the most intelligent, but the ones most responsive to change”

According to Charles Darwin

get value from iot in operations, predictive maintenance ... · tooling, agvs… must be connected....

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