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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

It is not the strongest of the species that

survives

but the most adaptable to changes

(C.Darwing)

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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