http://predixtransform.com We will share how GE's Brilliant Manufacturing products and applications are built on top of Predix and APM services such as Asset service, Time Series service, Security service, and APM Tenancy service. You will see live demos of the APIs that power GE's manufacturing solutions portfolio. And you'll understand how edge-processing capabilities, delivered though Predix Machine and Field Agent software, are used to stream machine downtime events and work order progress information to the cloud. We'll also demo and discuss Field Agent APIs and related configurations.

1. IND2: Predix For Manufacturing
Jennifer Bennett
Yun Freund
Nilesh Dixit

2. 2PREDIX TRANSFORM
Agenda
Brilliant Manufacturing Overview1
Architecture
Demo
Q&A
2
3
4
5
BM Microservices

3. 3PREDIX TRANSFORM
Digital Industrial – Why Now?
Industrial productivity
• Need data to drive results
• Role of CIO changing … more
operational
• Value of operational insight >
connectivity
• Faster NPI, Reduce Lead Time,
Improve Quality
4%
1991 – 2010
1%
2011 – 2015
Meets Digital Thread &
Brilliant Factory
• Leveraging end to end data to
provide better decision support
• Dramatically changes potential
value for Customers and business
• Transformational Business Model
and Differentiation

4. 4PREDIX TRANSFORM
Manufacturing – Market Drivers
Drive to Differentiate
Products (Customization,
Quality, Eco-Friendly)
Cyber Security concerns
at industrial facilities
Millennials
Macro
Factor
Customer
Impact
Implications
Customization
(build to order vs build to stock)
Reduce Order to Fulfill time
(calendar to clock time), urgent
orders -- Faster NPI
• Leverage shop floor
dynamic handling and real-
time visibility (JIT mfg)
• Focus on Digital Thread for
analytics, e.g. what if
analysis on NPI
• Better analytics around
energy/utilities/waste
• Contemporary UX a must
… World class experience
expected
• Ease of use and instant
information are new
normal
• Expect right data when
needed AND “Google-like”
experience
• Leverage expertise with
WurldTech
• World class Industrial
Cloud
• Comply with emerging
standards, networks &
interfaces
• Traditional build-deploy
cycles no longer adequate
• Faster innovation speeds a
must
• Better visibility to VCP
through Digital Thread
(providing data in context)
Make industrial data available in
an actionable context..(40% of
skilled manufacturing labor
retires within 4 years)
Cyber incidents impact
security, operational
effectiveness
Improve business
performance, better reliability,
lower op costs
Move to products as a service
Relentless drive to
decrease VCP (labor costs
rising, COQ) & new
business models

5. 5PREDIX TRANSFORM
Manufacturing Growth Plays
Connect and Monitor
Machines and Materials
Machine Intelligence : Connected in hours Material
Visibility in Context: View key parts and tools with ERP
context
Analyze and Predict
Leveraging our Knowledge Base of Industrial
Intelligence
Enterprise Data and Analytics Global MFG
infrastructure in one view with comparative analytics.
Continuous, low cost analysis of large data sets with no
cost of IT
1
Organize and Analyze
Machines, Material, Labor and Product
Machine, Material, Labor and Product Visibility and
Analysis:
Machine health, material quality, WIP, Labor utilization,
efficiency, product schedule, quality, genealogy
2 3
Quick install; “wink” of factory floor Scalable “modular” reporting MFG Analytics across the Enterprise
WHATTHEOFFERING
OPERATOR
Keep the Machine running
Keep Materials moving
WHO
PLANT MANAGER
Optimize plant / infra efficiency
C-SUITE, VPs, MANAGERS
Optimize operations and performance
Get Connected Get Insights Get Optimized
Plant Health
Get Connected MFG Intelligence

6. 6PREDIX TRANSFORM
Brilliant Manufacturing Landscape
Customer Systems Manufacturing Operations
Efficiency
Analyzer
WIP
Manager
Quality
Manager
Big Data Metrics & Analytics
Predix cloud
`
Existing Customer MES On-Premise (**)
Mfg Database
Plant
Applications Historian
Production
Manager
Manufacturing Big
Data Warehouse
Efficiency
Metrics &
Analytics
MES Ingestor (**)
PLC
DCS
SCADA
Bar Code
Scanners
Time Series Data, Alarms
Set Points
Alarm Acknowledgement
Scans
`
Predix Edge(*)
(*) – Capabilities deployed on premise or cloud based on
mfg type, speed, criticality to production and customer
preference
Historian Mfg Store
Production
Manager (*)
Predix Time Series
WIP
Metrics &
Analytics
Quality
Metrics &
Analytics
Production
Metrics &
Analytics
(**) – On-Ramp existing installed base into Predix for
analytics and reporting, build ingestors for 3rd party MES
Predix Asset
Label
Printers
Order / Lot Info
Enterprise
Pulse
Optimizer
Or
And / Or
AndAnd
ERP
HRM
Production Orders
Production Performance
Material Consumption
PLM
Production Definitions
BOM, EWI, Specs
Test Results
Training Records
Availability
Personnel Performance
LIMS
EAM Work Orders
Cycle Counts
Test Results
QC Test
PFMD
CimNet
MES
Rockwell
MES
Material Lots
Personnel
ProductionDowntime
Waste
Crews
Shifts
Work
Definition
BOM Documents
Operations
Work Orders
Predix cloud
PPO (Thin Client) w/ Cards

7. 7PREDIX TRANSFORM
Predix
Platform
Cloud Foundry (PaaS)
PostgreSQL Redis CacheTime Series
Graph DB
(Asset)
Work Order
Service
Material Lots
OEE Service
Scalable Storage Systems
RabbitMQ
Console
Logs
Monitoring
UAA
ACS
Analytics
Catalog
Vertical
Extension Heavy Industry
Food & Bev
CPG
BM
Predix//
APM
Legend
Work Order
IngestorBMS
Data &
Models
Processing
Analytic
Service
Time Series
Data Poller
ProductionMaterials
Downtime
Blobstore
Data Models
S95 Resource
ModelsAPM Asset
(Equipment)
Classes
APM Tenant
Manager
Services
APM User
Management
App Hub
Time Series
Collector
Incoming
File Store
APM &
Common
Business
Services
Field Agent –Edge Connectors
Logging
Error
Handling
CSV Files APM Time
Series
BMS
MicroApps
Downtime
Dashboard
Performance
Dashboard
Downtime
Analysis
Waste
Analysis
Machine
Details My Machines
Material
Service
Active Work
Orders
Work Order
Operations
Work Order
Tracker
BMS
MicoServices
APM Asset
Ingestion
Predix
Machine
Work Orders
Brilliant Manufacturing Architecture
Automotive Chemicals
Others (e.g.
Pharma,
Electronics)
Verticals

8. 8PREDIX TRANSFORM
Brilliant Manufacturing - Predix Catalog

9. 9PREDIX TRANSFORM
Brilliant Manufacturing Micro services
B M Services Predix Services CF Services
Analytics Service Predix Analytics Catalog Postgres, UAA, ACS
Plant Data Parser Service Predix Tenant mgmt Redis, RabbitMQ
TS Data Collector Service Predix Time Series Redis
Downtime Service Predix Asset, Timeseries Postgres, Logstash, UAA, ACS
OEE Service Predix Tenant mgmt UAA, ACS
Production Service Event Mgmt Kafka, Postgres, UAA, ACS
Analytics Configurator Service Predix Asset UAA, ACS
Work Order Service Predix Tenancy mgmt Rabbit MQ, Postgres, UAA, ACS

10. 10PREDIX TRANSFORM
Brilliant Manufacturing Marketplace
Work Order Tracker
Use this service to connect to plant data
sources for order and route information,
transform and store data onto cloud.
Plant and Enterprise Dashboard
Get manufacturing plant or enterprise level
dashboards
Manufacturing Event Generator
Use this service to generate various types of
manufacturing events.

11. 11PREDIX TRANSFORM
Efficiency Analyzer - Architecture

12. 12PREDIX TRANSFORM
Analytics Service
For an analytic to be developed and executed, you must:
• Ingest Asset Model.
• Ingest tag time-series data.
• Develop an analytic in one of the languages supported by Predix.
• Create a deployment configuration for mapping selected assets.
• Execute the analytic

13. 13PREDIX TRANSFORM
APIs – Generating events
Usage Method API
Asset Ingestion – S95 POST https://apm-s95-adaptor<env- tenant>.run.asv-pr.ice.predix.io/v1/asset/upload/
APM Timeseries Ingestion POST https://apm-timeseries-services<env-tenant>.run.asv-pr.ice.predix.io/v1/data/add?file_type=json
Predix TS Ingestion – Secure websocket wss://gateway-predix-sysint.grc-apps.svc.ice.ge.com/v1/stream/messages
Usage Method API
Create a new analytics and into catalog POST https://Efficiency-Analyzer-Service-<env- tenant>.run.asv-pr.ice.predix.io/analytics/v1/createanalytics/
Create a new instance of an analytics POST https://Efficiency-Analyzer-Service-<env- tenant>.run.asv-pr.ice.predix.io/analytics/v1/instance/
Get an instance or analytics by id GET https://Efficiency-Analyzer-Service-<env- tenant>.run.asv-pr.ice.predix.io/analytics/v1/instance/{id}/
Usage Method API
Allows creation of specific event record for a specific asset POST https://Efficiency-Analyzer-Service-<env- tenant>.run.asv-pr.ice.predix.io/v1/downtimes
Start the specific event (downtime, production,waste) PUT https://Efficiency-Analyzer-Service-<env- tenant>.run.asv-pr.ice.predix.io/v1/downtimes/{id}/
Search for an event GET https://Efficiency-Analyzer-Service-<env- tenant>.run.asv-pr.ice.predix.io/v1/search/downtimes/
Usage Method API
Create OEE report based on assets and time range POST https://Efficiency-Analyzer-Service-<env- tenant>.run.asv-pr.ice.predix.io/v1/reports/oee/
Create downtime report based on assets and time range POST https://Efficiency-Analyzer-Service-<env- tenant>.run.asv-pr.ice.predix.io/v1/reports/downtime/
Create waste report for a specific time range POST https://Efficiency-Analyzer-Service-<env- tenant>.run.asv-pr.ice.predix.io/v1/reports/waste/
Reporting Service
Analytics Service
Event Service
Data Ingestion Service (Predix TS, Asset)

14. 14PREDIX TRANSFORM
Lessons to Take Away
1. Integrating Manufacturing Analytics
2. Best practices : Data collection and analytics
processing
3. BMS APIs and Marketplace services

15. General Electric reserves the right to make changes in specifications and features, or discontinue the product or service described at any time, without notice or obligation. These materials do
not constitute a representation, warranty or documentation regarding the product or service featured. Illustrations are provided for informational purposes, and your configuration may differ. This
information does not constitute legal, financial, coding, or regulatory advice in connection with your use of the product or service. Please consult your professional advisors for any such advice.
GE, Predix and the GE Monogram are trademarks of General Electric Company. ©2016 General Electric Company – All rights reserved.