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AI-Driven Machine Health and Performance
Brian Charles, Enterprise Account Executive
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Machine health is a
$1.4 trillion* blind spot.
Source: American Manufacturing Association 2016
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Source: Robert Half Survey – 2,100 U.S. CFO’s. Responses do not
total 100% due to rounding.
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Baby Boomers make up 22% - 27% of the
manufacturing workforce & retiring…taking
knowledge with them.
Source: Solo Point Solutions.
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The Journey to Digital Machine Health & Performance
ReactiveMaintenance
Some scheduled & mostly reactive
fix what’s broken
PreventiveMaintenance
reduce breakdowns
Time based asset care & reporting
Predictive Maintenance
reduce surprises
Periodic data & sensor analysis
Digital Machine Performance
optimize production outcomes & flexibility
Integrated asset diagnostics & performance
analysis
Digital Machine Health
Fully automated continuous asset
monitoring& diagnostics
avoid cost of failure & optimize asset care
Solving Maintenance & Reliability Challenges
Solving Business, Operations &
Reliability Challenges
AI-Driven Machine Health & Performance
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Machine Health is Digital TransformationWhat is the impact of
Machine Health on your total digital opportunity?
Source: McKinsey Global Institute 2015Machine Health Impact:
Medium LowHigh
Costs for qualityreduced by 10-20%
Forecasting accuracyincreased to 85+%
20-50% reductionin time to market
10-40% reduction ofmaintenance costs
Productivity increaseby 3-5%
30-50% reductionof total machine
downtime
45-55% increase ofproductivity in technical
professions via automationof knowledge work
Costs for inventory holdingdecreased by 20-50%
Process Productivity
Quality
Time to Market
Supply/Demand Match
Maintenance& Service
Inventories
Labor
Asset Utilization
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How a AI-Based Solution Works
Algorithms DiagnoseDiagnoses of malfunctions and provide alerts
and recommendations
VisualizeYou get full visibility of machine health across your
facility
Connect
Smart sensors monitor your machines 24/7
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Algorithm in Action
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Sensor dataOperational data Signal processing
Analyst review
Anomaly Detection Anomaly models
Adapt
Anomaly Found?
Fault Detection Fault models
Confidence in Anomaly and Fault is High?
Yes
No
Yes
SITE TEAM
Feature extraction
No
Diagnostics Flow
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HEALTH METRICS
PERFORMANCE METRICS
BUSINESS METRICS
-OEE, TEEP
-Production KPIs, Savings, Growth and Optimization
-Health Trend & Status
The Power of AI at Scale
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Increase Portfolio Visibility Across Your Organization
The Standard Manufacturing Company
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AI Driven Machine Machine Health in Action
Global Manufacturer of Lumber Products
● Previously relied on an outside contractor to perform
vibration/data collection on a monthly basis
● Augury program deployed December 2018
● Initial results revealed about 30% of critical equipment in an
unacceptable condition
● Corporate deemed the Augury program a must haveand is being
standardized to additional plants
$470KCost
Avoidance
Quick Time-to-Value
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AI Driven Machine Health is not a black box.
AI Driven Machine Health is a means to an end.
[email protected]
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