The document discusses how AWS can help manufacturers with their digital transformation and Industry 4.0 initiatives. It outlines how AWS enables smart factories and smart products through connectivity, sensors, cloud computing, analytics and AI. This allows for increased efficiency, data-driven decision making, and products that improve over time. The document also provides an example of how AWS technologies like IoT, machine learning and analytics can help optimize manufacturing operations and meet business goals. Finally, it presents an AWS reference architecture for integrating manufacturing systems with the cloud.

1. AWS in Manufacturing
What role can AWS have in your transformation?
Michel Putnik
WW BD Lead, Manufacturing
mputnik@amazon.com

2. The true value of digital
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Revenue
Growth
Operational
Overhead
Empowered
Sales Teams
Increased
Efficiency
Intelligent Decision
Making
Products that Get
Better with Time
Better Relationship
with Customers
Data Driven
Discipline

3. The 4th Industrial Revolution
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Industry 1.0
Mechanical production
powered by water and
steam
Industry 2.0
Mass production based
on the division of labor
and powered by
electrical energy
Industry 3.0
Electronics and IT for a
further automation of
production
Industrie 4.0
Cyber physical
production systems
18th Century 20th Century 1970s Today

4. Industry 4.0
4
Autonomous
Robots
Simulation & HPC
Vertical & Horizontal
Integration
Industrial Internet of
Things
Cybersecurity
Cloud
Additive
Manufacturing
Augmented
Reality
Big Data
ML, Analytics
Technical enablersCommon use cases
• Smart Factory
• Smart Products & Services
• ML driven Quality Control
• ML based forecasting
• ML based planning
• Self driving logistics vehicles
• Digital Twin
• Smart Supply chains
• Predictive Maintenance
• Self organizing production
• Disaster recovery
• SAP on AWS
• Knowledge Transfer of maintenance/service staff

5. What sets AWS apart?
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Security Fine-grained control
Service Breadth & Depth
Pace of Innovation
120+ services to support any cloud workload; rapid customer driven releases
Experience: 1M+ customers Building and managing cloud since 2006
Global Footprint 18 regions, 55 availability zones, 121 edge locations
Artificial Intelligence Fully integrated in AWS
Ecosystem Thousands of partners; 3,800+ Marketplace products
Enterprise Leader
AWS is positioned highest in execution and furthest in vision within the
Leaders Quadrant

6. Two predominant outcomes
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Smart products and services are brought to market with smart factories
Smart Factories
Smart Products and
Services
Connectivity and Internet Technology
Smart Sensors and Actuators
Cloud Processing and Storage
Big Data Analytics and Artificial Intelligence

7. Smart factories built on cloud computing
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Smart factories – simple and adaptive
Global Data and
Integration Platform
Internal Focus
applications
Processes
Employees
Equipment
• Highly reliable
• Highly available
• Increased agility
• Increased innovation
• Lower total cost
• Knowledge capture

8. applications
Smart products built on cloud computing
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Smart products and services – individualized and quickly brought to market
Global Data and
Integration Platform
Processes
Employees
Equipment
• Rich and adaptive
customer experience
• Innovation and quickly
bring to market
• Smart, connected and
updated
External Focus
applications

9. Manufacturing Operations Business Matrix
Plant Manager Quality Manager H&S Officer Production
Planner
Plant
Maintenance
Performance
Quality
Availability
Safety
Product
Increase/Optimize
Production line
throughput
Optimize Production
Line throughput
Optimize Asset
Lifecycle
Reduce
Scrap/Defects
Reduce
Scrap/Defects
Reduce unplanned
outages / stoppages
No unplanned
outages
Zero safety incidents
Increase Quality
Build to Order
Optimize Supply
Chain
Build to Order
Minimize Stock
Production
Manager
Protect workforce
Safe Environment
Asset Maintenance
Track Inventory
Reduce Rework
Build to Plan
Engineer
Reduce
Engineering
Change Orders
Reduce Design
Time
Enable safe work
environment
Representative

10. Envisioning Example
Business Outcomes / Goals
Enabling
Technologies Stakeholders
Increase Performance
Increase Quality
Plant Manager
Production
Planner
Quality Manager
Plant Manager
Metrics
Increase Availability
Line Utilization
M O
Stoppage Time
M O
% of rework
M O
M O
Optimized
Production
Throughput
Implement JiT
Inventory
No unplanned
downtime
Reduce rework
Production Planning
Forecasting ML
Data Lake
Deep Learning
Video Defect
Detection
Analytics for
Predictive
Maintenance

11. ISA-95 triangle in the context of the AWS Cloud
Level 1
Level 2
Line/Machine
Control
Animation
Direct Control
Level 3
Level 4
Description
Line/Machine
Supervision
Manufacturing
Operations
Management
Business
Planning &
Logistics
MES/
Historian
ERP/PLP/SCM
App/SystemFunction
Line/Cell
Execution
Business
Operations
SCADA/HMI
Supervisory
Control
DCS/PLC/RTU
Level 0
Physical
Values
Raw Data
Event Signals
I/O Sensor
AWS
Architecture
Enterprise
Apps in the
Cloud
Data
Ingestion &
Analytics
Edge /
Greengrass
IoT Device

12. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Manufacturing Reference Architecture (Brownfield)
Greengrass S3
Data Lake
Kinesis Firehose
MES
Factory Machines
Protocol
conversion
ML
Inference
AWS IoT
Sage Maker
Machine Learning
Amazon QuickSight
Data Visualization / Reporting
Amazon
Athena
Historian
Storage Gateway
EMR
Amazon
EBC
Amazon
EC2
AWS
Batch
Amazon
AppStream
Amazon
EBC
Amazon
EC2
HPC Workloads
Enterprise Workloads
(SAP)
DMS RDS
Local Servers
RedShift
Data Warehouse
DataIngestion
API Gateway
Interfaces
N:1
Plant
Manager
Quality
Manager
H&S Officer
Production
Planner
Plant
Maintenance
Production
Manager
Engineer
OSI PI Connector
Snowball Edge
Data Migration

13. Thank you!
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