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©2014 Software AG. All rights reserved. 1 | Wolfgang Beeck, CTO, SAG Deutschland GmbH München, 1. Oktober 2014 Industrie 4.0 Die Notwendigkeit!

Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

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Page 1: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 1 |

Wolfgang Beeck, CTO, SAG Deutschland GmbH

München, 1. Oktober 2014

Industrie 4.0 Die Notwendigkeit!

Page 2: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 2 |

Software AG helps Organizations

Transforming into Digital Enterprises

Dedicated to Customer Innovation for over 45 years

CUSTOMER BASE

70% More than

2.5M+ Users

5,000+ Employees Worldwide

€1B In Revenue

2M+ Developers

of the Global 1000

Page 3: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 3 |

Industry 4.0 – Chances and Risks

DIGITAL ATTACKERS INDUSTRY 4.0 VISION TRADITIONAL COMPANIES

SMART FACTORY

Self-organizing networks

of machines and other

resources that

autonomously exchange

information in real-time

and control each other. *)

Source: Prof. Dr. Siegfried Russwurm – „Digitize your Factory“ in „The Digital Enterprise“, 2013

Page 4: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 4 |

Traditional: Handgun from Smith & Wesson

Smith & Wesson - established 1852

Page 5: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 5 |

Digital: Open Source firm Defense Distributed

The Liberator

Physible, 3D-printable single shot handgun

15 plastic + 1 metal parts

Page 6: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 6 |

Traditional: Factory-based car manufacturing

Page 7: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 7 |

Digital: Co-creation and micro-manufacturing

Local Motors “Strati”

Chassis printed in just 44 hours

Page 8: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 8 |

moving into the industry arena…

NET INCOME: US$ 12.92 billion (2013)

Google Car Boston Dynamics Titan Aerospace

Page 9: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 9 |

moving into digital manufacturing…

Record-low 15 defects per million

99% reliability

100% traceability

Siemens electronics plant in Amberg, Germany

Page 10: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 10 |

Industry 4.0 integrates the digital and the real world

• Digital Product Models

DEVELOP, TEST, PRODUCE, DISTRIBUTE

• Digital Supply Chains

CONSUMER, SUPPLIER, PARTNER, MANUFACTURER

• Cyber-Physical Production Networks

MATERIALS, MACHINES, PRODUCTS

• Smart Factories

ERP, MES, ROBOTS, 3D-PRINTERS, SENSORS

Page 11: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 11 |

Industry 4.0 is based on real-time capabilities

Traditional Production Cyber Physical Systems

Constant monitoring, real-time analysis and instant action

Intelligent components

Self-organizing

production processes

Ad-hoc changes

Production Networks

Industry 4.0 Production

Page 12: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 12 |

Response time is key to success

Algorithmic trading 100 ms < 1 ms

Call center inquiries 8 hr 10 sec

Supply chain updates 1 day 15 min

Phone activation

Refresh data warehouse

Track financial position 5 min 1 day

Airline operations 20 min 30 sec

Trade settlement

Build-to-order PC

1 min 3 days

0.5 hour 1 week

2 hrs. 5 days

4 weeks 1 day

Batch Analytics/

Data Warehouse

Intra-day Batch

Analytics

Continuous in-

memory Analytics

Low Latency

Analytics

Typical Business SLAs weeks days hours minutes seconds milliseconds

Rapid and proactive response is the key to surviving the pace of competition

Traditional Historical Analysis Real-time “Streaming Analytics” required

Page 13: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 13 |

New Business Process Dynamics – Act Now! Valu

e

Business event

Data captured

Action taken

Information delivered

Time SOURCE: Richard Hackathorn – The BI Watch: Real Time to Real Value

Action time

Page 14: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 14 |

New Business Process Dynamics – Act Now! Valu

e

Business event

Data captured

Action taken

Information delivered

Time

Action time

SOURCE: Richard Hackathorn – The BI Watch: Real Time to Real Value

Page 15: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 15 |

Essential IT capabilities for Industry 4.0

• Integration of disparate data sources

• Storage of data streams

• Analysis of data streams

• Visualization of complex data sets

• Instant or predictive Action

Page 16: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 16 |

Providing Agility to

Transform Manufacturing

IT-Systems Factories Warehouses Production-

systems

Products

Business Models

Customer Products

Markets

Innovation

Digital Agility Layer Processes

Integration

Fast Big Data

IT- & Technology-

Silos

Page 17: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 17 |

Industry 4.0 @ work - The Smart Factory

Digital Agility Layer

IT-Systems Factories

Warehouse Production-

systems Supplier

Logistic

Integration

Digital End2End

Processes

“Right Time” Actions

Monitoring &

Smart Dashboards

Products Customer

M2M-Connectivity M2M-Connectivity

Company

Page 18: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 18 |

Digital Agility Layer - Conceptual Architecture

Intelligent Business Operations

Integration

Adaptive Applications Business and IT

Transformation

Page 19: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 19 |

Intelligent Business Operations Platform Features

Real-time Analysis Constant Monitoring Instant Action

Integration

Visualization

Page 20: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 20 |

Transforming Pharma

75% from 2 years to 6 months PRODUCT APPROVALS

Through Process Automation and Integration

R E S U L T:

FASTER

Leading Pharma

Manufacturer

Page 21: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 21 |

Transforming Manufacturing Through service excellence

PROACTIVE & PREDICTIVE

MAINTENANCE

SAVES $3,5 MILLION

PER YEAR

Page 22: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 22 |

Transforming Manufacturing Through production excellence

Stability and

high product quality

140.000 kilometers

OF COPPER WIRE PER DAY!

FOR

Page 23: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 23 |

Transforming Manufacturing Through Intelligent Process Prediction based on Big Data Analytics

Mastering

Big Data in complex

sensor networks

Volume: Hundreds of terabytes

Variety: 1.5 million data objects

Velocity: real-time

Research project iPRODICT still ongoing

Page 24: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours
Page 25: Industrie 4 - M2M Telefónica · Batch Analytics/ Data Warehouse Intra-day Batch Analytics Continuous in-memory Analytics Low Latency Analytics Typical Business SLAs weeks days hours

©2014 Software AG. All rights reserved. 25 |

The Digital Enterprise The Moves and Motives

of the Digital Leaders

23 examples of how market-leading

corporations are transforming into

Digital Enterprises