Getting performance metrics, such as Overall Equipment Effectiveness (OEE), from industrial equipment is tough because data is often locked into proprietary on-premises data stores and typically requires specialized expertise to retrieve and put in a useful format for searching and analysis. AWS IoT SiteWise makes it easy to collect and organize data from industrial equipment. This chalk talk shows you how to compute common industrial performance metrics, build applications to analyze industrial equipment data, prevent costly equipment issues, and reduce production inefficiencies.

1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Driving Overall Equipment Effectiveness with
AWS IoT SiteWise
Usman Anwer
Senior product manager, AWS IoT
Amazon Web Services
S V C 2 0 4

2. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Agenda
• Lean Manufacturing and Overall Equipment Effectiveness (OEE)
• Introduction to AWS IoT SiteWise
• Calculating OEE in the cloud for all of your sites
• Demo
• Q&A

3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Countering waste is core goal of lean manufacturing
Wastes
Defects
Over-
production
Waiting
Unutilized
talent
Extra
processing
Transportation
Inventory
Motion

4. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Equipment metrics help track waste
OEE
Availability
Performance
Quality

5. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Prerequisites
Data collection from
facilities
Data accessibilityData labeling and
organization

6. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Collect,structure,andconsumedatafromindustrialsites

7. • Next level of efficiencies comes from
optimizing across sites
• Compute metrics for thousands of assets,
across hundreds of sites in near-real-time
• Serve to dashboards and applications across
your organization
• Enable end-to-end business workflows
Drive efficiencies across sites

8. OPC-UA: Liberate data from factories
Gateway hosting
OPC-UA server and
AWS IoT SiteWise
software package
PLC
Both PLC and
gateway plugged
into network
switch

9. Representing your assets in AWS IoT SiteWise

10. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Representing your assets
Power Meter
Solar Panel
Ajax
PK78484
f(Voltage, Current)
f(Real Power)
CA/17/260-477
CA/17/260-478
Name:
Make:
Serial Number:
Real Power:
Efficiency:
Voltage:
Current:

11. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Power Meter
Solar Panel
Ajax
PK78484
f(Voltage, Current)
f(Real Power)
CA/17/260-477
CA/17/260-478
Name:
Make:
Serial Number:
Real Power:
Efficiency:
Voltage:
Current:
Asset
Representing your assets

12. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Representing your assets
Attributes
Power Meter
Solar Panel
Ajax
PK78484
f(Voltage, Current)
f(Real Power)
CA/17/260-477
CA/17/260-478
Name:
Make:
Serial Number:
Real Power:
Efficiency:
Voltage:
Current:

13. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Representing your assets
Metric
Power Meter
Solar Panel
Ajax
PK78484
f(Voltage, Current)
f(Real Power)
CA/17/260-477
CA/17/260-478
Name:
Make:
Serial Number:
Real Power:
Efficiency:
Voltage:
Current:

14. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Measurements
Representing your assets
Power Meter
Solar Panel
Ajax
PK78484
f(Voltage, Current)
f(Real Power)
CA/17/260-477
CA/17/260-478
Name:
Make:
Serial Number:
Real Power:
Efficiency:
Voltage:
Current:

15. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Representing your assets
Power Meter
CA1751-1A
320
watts
f(Power Meter)
f(Power Meter)
CA/17/260-477
Name:
Nominal Power:
Units:
Real Power:
Efficiency:
Power Meter:
Asset

16. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Representing your assets
Power Meter
CA1751-1A
320
watts
f(Power Meter)
f(Power Meter)
CA/17/260-477
Name:
Nominal Power:
Units:
Real Power:
Efficiency:
Power Meter:
Asset
Power Meter
Name:
Nominal Power:
Units:
Real Power:
Efficiency:
Power Meter:
Asset template

17. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Representing your assets
Power Meter
CA1751-1A
320
watts
f(Power Meter)
f(Power Meter)
CA/17/260-477
Name:
Nominal Power:
Units:
Real Power:
Efficiency:
Power Meter:
Asset
Power Meter
Name:
Nominal Power:
Units:
Real Power:
Efficiency:
Power Meter:
Asset template
Power Meter
CA1751-1C
320
watts
f(Power Meter)
f(Power Meter)
CA/17/260-479
Name:
Nominal Power:
Units:
Real Power:
Efficiency:
Power Meter:
Asset
Power Meter
CA1751-1B
320
watts
f(Power Meter)
f(Power Meter)
CA/17/260-478
Name:
Nominal Power:
Units:
Real Power:
Efficiency:
Power Meter:
Asset

18. Recipe for OEE
Asset Packer
Data from equipment Equipment_State (reported as numerical codes e.g. 1024)
Good_Count
Bad_Count
Equipment state
derivations (transforms)
IDLE = EQ(Equipment_State, 1024)
FAULT = EQ(Equipment_State, 1020)
STOP = EQ(Equipment_State, 1000)
RUNNING = EQ(Equipment_State, 1111)
Metrics (aggregates)
Interval options: 5 min, 10
min, 15 min, 30 min, 1 hour,
1 day, 1 week.
IDLE_TIME = STATETIME(IDLE)
FAULT_TIME = STATETIME(FAULT)
STOP_TIME = STATETIME(STOP)
RUN_TIME = STATETIME(RUNNING)
DOWN_TIME = STOP_TIME + FAULT_TIME + IDLE_TIME
AVAILABILITY = RUN_TIME / (RUN_TIME + DOWN_TIME)
QUALITY = Last(Good_Count) / Last(Good_Count) + Last(Bad_Count)
PERFORMANCE = Last(Good_Count) / RUN_TIME * 0.2
OEE = AVAILABILITY x QUALITY x PERFORMANCE

20. Thank you!
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Usman Anwer
@uanwer