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INDUSTRIA 4.0
CONTEXTO
DESAFÍOS DE LA INDUSTRIA 4.0
TRANSFORMACIÓN DIGITAL
PALANCAS TECNOLÓGICAS
IOT, FABRICACIÓN ADITIVA, ANALÍTICA DE DATOS
BIG DATA ANALYTICS
ATOS CODEX
CASOS DE USO
APLICACIONES PRÁCTICAS EN INDUSTRIA 4.0
Big data aplicado a IoT en
entorno Industrial
El término Industria 4.0 fue acuñado por el gobierno
alemán para describir la fábrica inteligente, una visión de
la fabricación informatizada con todos los procesos
interconectados por Internet de las Cosas ( IOT )
El nuevo modelo de industria centrada en los datos
requiere de una transformación profunda
Digital Enterprise
Industrial Data
Analytics
Industry 4.0 Internet of
Things
Digital Trans-
formation
ERP
PLM
MES
Additive Manufacturing
Predictive Maintenance
Virtual Reality
IoT
HIGH PERFORMANCE COMPUTING
Translational Genomics
ADVANCED ANALYTICS Analyzing in real-time customer, products, assets and partner data to gain insights as source for growth
INTERNET OF THINGS ▶ Connected Vehicle ▶ Connected Machines ▶ Connected Patients ▶ Connected Infrastructure
BUSINESS REINVENTION to transform your processes & business models
Cyber Security
HPC
Tomorrow’s Enterprise
Best in class manufacturers are able to use the potential of each domain as lever to unlock the full business potential of a Digital World
New Tech-companies
entering the market
Increasing complexity of
products and production
High dependency of
suppliers through
integration into the value
chain
Risks
Chances
Source: Atos
New products and
services increase
customer value through
Digitalization
Demand of customers to
get more individualized
products
Extending the own value
chain through new
services
While today's enterprises are linearly organized
and optimized within the boundaries of organizational and system silos…
PAST … companies of the future
will fulfill individual customer needs by using collaborative and agile network of capabilities
FUTURE
Are you ready?
USER
CUSTOMER
SUPPLIER
PARTNER
Connected
Processes
CUSTOMER
CONSUMER
R&D
PARTNER
Connected
Customers
Connected
Products Connected
Consumers
Connected
R&D
Connected
Suppliers
Connected
Boardroom
Cyber
Physical
Systems
Internet of Things
& Services
Big Data
Analytics
Social/
Collaboration
Digital
Manufacturing
Cloud
Mobility/
wearables
Open
Standards
Virtualization
Decentralization
Real-Time
Capability/
Responsiveness
Service
Orientation
Modularity
CONNECTED PEOPLE CONNECTED THINGS
CONNECTED ENTERPRISE CONNECTED APPLICATIONS
Product engineers
Process engineers
Production planners
Sales
Shopfloor perators
Supervisors
Service engineers
Quality engineers
Maintenance engineers
ERP
MES
PLM
SCADA
CAPP
EAI
DNC
Office PCs
Smart phones
Equipment PLC’s
Smart Products
RFID
Shop Floor touchscreens
CNC
Tablets
CO
LLA
BO
RA
TIO
N
IN
TEG
RA
TIO
N
Suppliers Customers
Partners
Consumer
Manufacturer
Plants
Corporate
Intranet Internet
Scanners Wearablers
Label Printers
QMS CRM
DATA
3DPrinters
Rapid Prototype Enhanced Value Chain Cost Saving Distributed Production
Additive Manufacturing Remote Support Dangerous Environments Supported Training Enhanced Immersive Work
AR/VR
Journey towards Digital Enterprise
Connected Machines Connected Worker Connected Products Connected Customer Cybersecurity
Industry 4.0
Connected Devices Smart Devices Massive Data Information Interconnect Systems IoT Platforms
Mindsphere
IoT Big Data Management High Performance Computing Plant Data Use Case:
Predictive & Prescriptive Maintenance
Digitalized Field Services
Advanced Analytics Machine Learning Deep Learning Cognitive Computing Real Time Processing Cognitive Automation
Machine Intelligence
Journey towards Digital Enterprise
Los datos aportan eficiencia a los procesos
Los datos ayudan a mejorar la experiencia de los clientes y ciudadanos
Mainframes Web & mobile Internet of Things
70’s 90’s 10’s
Los datos permiten transformar los negocios y servicios
1. IoT - IoE
2. Big data
3. Exascale computing
4. Cognitive Computing
5. Artificial Intelligence
6. 5G
7. Blockchains
8. Swarm computing
9. Quantum computing
10.Quantum safe encryption
Many customer organizations state today that:
▶ They are still in an early stages of Big Data projects
▶ Their current priority is to get help to drive business value from analytics
BI
Big Data
Insight Systems
Robotics & Cognitive
Track
performance
Analyze
behaviors
Predict & adapt
in real time
Provide cognitive
intelligence
Descriptive &
diagnosis analysis
First capabilities for
predictive analysis
Prescriptive analysis
& insight to action
IA & prescriptive
automation
From single systems to networks ofcapabilities and data
driven business
Atos Codex Analytics
Atos Codex Platform
Infrastructure
Cognitive Solutions
▶ Analytics components
▶ Analytics use cases
▶ Pre-developed vertical
algorithms
▶ Visualization tools
▶ Appliances
▶ Security
▶ Middleware
▶ Abstraction layer for Cloud
▶ BDaaP
▶ Big Data Capabilities
Framework
▶ APIs
▶ Compute (bullion)
▶ HPC
▶ Public & Private Cloud
▶ Machine learning
▶ Speech recognition
▶ Image analysis
▶ Natural language processing
Atos Codex
connectors
▶ Telco connectors
▶ Smart metering
▶ Smartgrid
▶ Sensors
▶ APIs to IoT “world”
▶ IoT devices
▶ IoT connectors
▶ IoT platforms
Security ▶ Security Products ▶ Security Management
Accelerators, templated solutions and fast incubation services to develop at start-up speed
Ready to deploy use cases to build best-in-class business solutions
Open Exascale-class supercomputing and appliances to provide exceptional outcomes
2. Customer design labs (FabLabs)
3. Open industrial analytic platform
1. Methodology & Data Science - Ideator
4. High-Performance Data Analytics
As a service, on premise and BPO plat-forms to boost analytics agility & TCO fully embedded with our IOT solutions-
Agile analytics consulting and Proof-of-Value sprints to transform data into profitable insights
5. Industrialize best practices and use cases
Leading Agricultural Machinery Manufacturer • Delivery of a big data platform with >99% availability
• Management of data gathered every 3 minutes from 180 sensors on each machine
• Processing, storing and analyzing terabytes of live telematics and external data
• Collection and real-time analysis of hi-fidelity and hi-definition agricultural data at 9 Hertz of data per minute.
• 250,000 vehicles providing real-time machine data
• New platform base for new business models e.g. providing predictions and recommendations for precision farming to farmers
Renault • Business and technology partner for Renaults R-Link
• Atos provides a Connected Vehicle Platform incl. On-Board Software, Service Integration Gateway , M2M Connectivity, Business Process Integration , Commercial Catalogue and App Store
• R-Link establishes the connection between car, driver and OEM (owned by Renault)
• Customer touch points are multiplied and a direct sales channel is established via an in-car app store allowing for driver-specific and context-related purchases.
Atos is supporting its customers to master the change to
a digital world (2)
Atos is supporting its customers to master the change to
a digital world (2)
Schlumberger
Predictive Maintenance
• Improving Uptime for an Oil & Gas Company + Reducing cost
of failure by Improvement of “Mean time between Failure
(MTBF) and Non-productive Time (NPT) = direct impact on
bottom-line
• Approach: Agile Team-set (Data Scientist, Industry Expert and
SI Architect) + Cloud Based Analytics Platform
• Transparency of Root causes of failures
• New maintenance policies defined
• Mean time between failure (MBTF) significantly improved
CPG Manufacturer • Need for real-time technology solution for customer branded oil
• Customer chose Atos MPM a unique, highly effective real-time operational intelligence system that drives significant line performance improvement
• MPM uses theory of constraints to prioritize actions and enable optimal line output
• MPM uses real-time data from each piece of equipment on the line combined with product specific master data and actual conveyor buffer quantities as the basis for its calculations
• It provided for Significant line performance improvements from 1st month on
Atos, the Atos logo, Atos Codex, Atos Consulting, Atos Worldgrid, Worldline, BlueKiwi, Bull, Canopy the Open Cloud Company, Unify, Yunano, Zero Email, Zero Email Certified and The Zero Email Company are registered trademarks of the Atos group. April 2016. © 2016 Atos. Confidential information owned by Atos, to be used by the recipient only. This document, or any part of it, may not be reproduced, copied, circulated and/or distributed nor quoted without prior written approval from Atos.
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