Inteligência Aritficial & a Indústria de Manufatura - André Morgado e Alceu Duran

1. AI na Indústria: Transformando a manufatura

2. Technology that can perceive, learn, and reason to
extend the capabilities of people and organizations

3. AI, Machine Learning and Deep Learning
1950 1960 1970 1980 1990 2000 2010

4. When use AI?

5. Analysis Types

6. Focus on their customers business outcomes, most manufacturers are embarking on is from
production, to product-as-a-service.
They need more agile factories and responsive – and sustainable - supply chains
They still need to focus on responsible and compliant manufacturing practices
Digital Transformation Journey

7. ENHANCE CUSTOMER
EXPERIENCE
depend completely on
consumers for success
INNOVATE FASTER
online channels are
rapidly increasing
CREATE SERVICE-BASED
BUSINESS MODELS
keep business processes
synchronized
83% of
manufacturers said
that selling products
as services would
increase profits
80% of
manufacturers expect
that improved
factory connectivity
will help them to
increase output levels
71% of
B2B companies are at
risk of losing
customers by not
being fully engaged
Digital transformation is changing the entire manufacturing industry. Competitive edge is no longer based on
product offerings alone. Now, manufacturing is about the best and most profitable business models and
enhancing the customer experience.
Digital trends are changing manufacturing

8. Dynamically changing customer needs &
product variability
Predictive inventory management,
customized quoting and contracting.
Eroding Margins & Rising Costs
Increased operational efficiency, automatic asset
maintenance, and less asset replacements.
Growing skills gap & deteriorating assets
Improved reporting, more natural
interfaces, and efficient training.
Top of Mind for Manufacturers

9. Imagine if you could have a flexible production
which leverages sensor data to ensure processes are
updated in real time
Imagine if you could stay one step ahead of our
maintenance needs, identifying optimum times and
processes for refreshing our equipment.
Imagine if you could increase the flow of
information across your entire business operations,
keep your business processes synchronized, and
improve your interaction with partners and your
supply chain.
Imagine if you could deliver a profitable field
service that deepens customer loyalty
Imagine if…

10. Manufacturing
IoT & Edge | AI | Hybrid cloud | High-performance computing | Mixed reality | Blockchain | Quantum computing
Chemicals/Agrochemicals
Verticals
Sub-verticals
Aerospace, Industrial, High
Tech & Semiconductor
Chemicals,
Agriculture
Technology
Enablers
CONNECTED
FIELD SERVICE
FACTORY/
OPERATIONS
OF THE FUTURE
INTELLIGENT
SUPPLY CHAIN
WORKFORCE
TRANSFORMATION
CONNECTED
PRODUCT/ENERGY
INNOVATION
SUSTAINABILITY
Industry Priority Scenarios
CONNECTED SALES
AND SERVICE
Empowering Factory of the Future

11. Value
Time
Phase
Data
Visualization
“See what is
happening”
Equipment &
Factory
Monitoring
Data
Foundation
1
Connected
“Get
connected”“Define data
and sources”
AI Models,
Machine
Learning
“Predicting what
will happen”
Advanced
Analytics
“Understanding
causes & impacts”
2
Predictive
Cognitive &
Intelligent
Connected
Products
“New services &
business models”
Digital
Feedback Loop
Automation
“Real-time data
driven response”
3
Cognitive
• Enhance productivity
• Improve quality
• Reduce inventory
• RedDecrease lead times
• Reduce conversion costs
• Improve service levels
• Enhance margins
• Optimize pricing
• Improve NPI
Data Analytics AI Cognitive
Data and AI Empowering Factory of the Future

12. Reference Azure Architectures

13. Device/Sensor Data
Data/Operational Historian
ERP/Planning Data
Experience limitless analytics and data
querying at petabyte-scale to rapidly
deliver insights across your global
factories at blazing speed
Enable immediate remote responses to mechanical
or physical equipment issues and sending automatic
notifications to the right personnel so that problems
can be resolved quickly, and downtime minimized
Improve Productivity
Provide detailed insights on machine
performance to keep equipment running
smoothly, extend the operational lifespan and
increase overall production uptime
Optimize Production
Provide real-time analytics and alerts about the
condition of factory equipment & environment to
empower data-driven decisions that can increase
equipment effectiveness, and optimize performance
& productivity
Enable Real-Time Decisions
MES/Operations data
Real-Time
Streaming
Collect &
Ingest
SCADA systems
(factory operations data)
(temperature, pressure, speed)
(transactional data)
Faster insights though
big data analytics
Globally distributed
serving pre-scored data &
machine learning models
Cosmos DBAzure Data Lake Storage
Prep, experiment,
deploy models
Visualize your data
Analyze your data
Azure Synapse Analytics
Benefits
Business Architecture: Remote Monitoring Factory
of the
Future

14. IoT Hub
Azure Stream Analytics
(Real-time analytics)
Metadata
Azure Data Factory
Power BI
Azure Analysis Services
Azure Data Lake Storage
Azure Machine
Learning
Commerce
Product Catalog
ERP
Shop Floor System
IoT Devices/Sensors
Manufacturing Systems
Hot Path (in-memory)
Azure Cosmos DB
Azure Synapse
Analytics
Warm Path
Cold Path (batch)
Reference Architecture: Remote Monitoring Factory
of the
Future
2
1
1

15. Device/Sensor Data
Usage History Data
ERP/Planning Data
Experience limitless analytics and data
querying at petabyte-scale to rapidly
deliver insights across your global
factories at blazing speed
Minimize the frequency of unscheduled
downtimes resulting from equipment
failure, improve the overall availability of
equipment, and maximize the useful life of
equipment,
Increase Efficiencies
By consolidating and analyzing data over long
periods of time, customers can identify potentially
hazardous conditions, estimate its impact on
working conditions, and quickly take appropriate
action to mitigate safety risks
Improve Safety
MES/Operations data
Real-Time
Streaming
Collect &
IngestMaintenance Data
(factory operations data)
(temperature, pressure, speed)
(transactional data)
Embed cognitive
intelligence
Prep, experiment, deploy
models
Embed predictive models
Visualize your data
Analyze your data
Build proactive capabilities based on advanced data analytics to predict and avoid machine failure
Faster insights though
big data analytics
Azure Synapse Analytics
Globally distributed
serving pre-scored data &
machine learning models
Cosmos DBAzure Data Lake Storage
Utilize historical and performance data from
multiple sources to make accurate predictions
about asset health, utilization, and the possibility
of failure, enabling customers to take action
based on this data
Reduce Costs
Benefits
Business Architecture: Predictive Maintenance Factory
of the
Future

16. IoT Hub
Azure Stream
Analytics
(Real-time analytics)
Azure Data Factory
Power BI
Azure Analysis
ServicesAzure Data Lake
Storage
Azure
Machine
Learning
Apps
Product Catalog
IoT Devices/Sensors
ERP
Shop Floor System
Manufacturing Systems
Azure Databricks
Cognitive Services
Web and Mobile App
Azure
Cosmos DB
Realtime integration with Azure Functions
Azure Synapse
Analytics
Reference Architecture: Predictive Maintenance Factory
of the
Future
2
1
1
2 2
Cold Path (batch)
Warm Path
Hot Path (in-memory)

17. Collect &
Ingest
Real-time monitoring data
Warranty system
Scheduling system
Maintenance data
Faster insights though big data analytics
Cut field service costs and improve customer
satisfaction and by increasing technician
productivity, allocating field teams efficiently, and
enabling real-time decision-making
Reduce Costs
Accelerate repair times by ensuring
service technicians are fully
equipped to deliver a first-time fix
Provide insights and analytics that enable
manufacturers to see patterns and trends
to improve o
Improve Operations
ERP data
Protect /
Anonymize
Stream
Apply cognitive
intelligence
Prep, experiment,
deploy models
Embed predictive
models
Visualize your data
Analyze your data
Add virtual
assistance
Improve Last-Mile Service
Experience limitless analytics and data
querying at petabyte-scale to rapidly
deliver insights across your global
factories at blazing speed
Azure Synapse Analytics
Delivering to the right person, at the right place, at the right time, with the right tools.
Business Architecture: Smart Connected Field Service Connected
Field Service
Azure Data Lake Storage

18. Process data
Sensors/Devices
Register Commands & Properties
Web/Mobile Apps
Service Alert
Workflow
Work Order
Dynamics 365
Web Services/
Connectors
Azure Synapse
Analytics
Azure Analysis
Services
Power BI
Cognitive Bot
Azure Machine
Learning
Azure Databricks
Azure Data Factory
Ingest data
IoT Hub Azure Stream Analytics Service Bus
Service BusLogic Apps
IoT Alerts
Azure Data Lake
Storage
Logic Apps
Warranty systems
Scheduling systems
Maintenance data
Reference Architecture: Smart Connected Field Service
1
2
1
2

19. Customer Case
https://customers.microsoft.com/en-us/story/739606-
thyssenkrupp-elevator-azure-discrete-manufacturing-pt-
germany-willow
https://play.vidyard.com/QyD8L461mRuYLB29F8kuZB.html

20. Thank You