Industry 4_9 Pillars of technology

2,002 views 33 slides Nov 23, 2015
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About This Presentation

The Industrie 4.0 has 9 pillars of Technological transformation that one needs to know and understand first before they start implementing it in their company. From Big Data & Analytics to Autonomous Robots to Augmented reality, the whole world is changing.


Slide Content

Ind u stry 4.0: The Future of Productivity and Growth in Aerospace/ Mfg Industries JAYESH C S PAI

© D F K I G m b H The Germ a n Future Proje c t: Indu s try 4.0  Industrial pro d uction i s the back b one o f Germany ‘ s eco n om i c perform a n c e : Germ a ny i s preparing the 4th i n d u st r ial re v o l ut i on based o n the I n te r net o f T h i n gs, C y be r -p h y sical Prod u ction S y ste m s, and the I n te r net o f Ser v ices in Real i n d u st r y . Exponential growth of data

This is how we see our world

This is how we should see our world

From Indu s try 1.0 to Indu s try 4. : Towards the 4th Ind u stri a l Re v olut i on 001010100 100101010 In d ustry 3.0 o f p ro du cti o n F ir s t M ec h a n i c al Loom 1784 In d u stry 1 .0 w a t e r an d st ea m St a r t of 70 ' s E n d of 18th C e n t u r y Sta r t of 20th C e n t u r y t od ay t D e g r ee o f Co m p l ex i ty 010001101 010010101 4 . In du s t r i a l Re v o lut i o n ba s ed on C y ber-Ph y s i c al Produc t ion S y st e m s In d ustry 4.0 3 . In du s t r i a l Re v o lut i o n t h ro u g h I n tro du cti o n of e lec t ro n ics an d IT f o r a f u rth e r au t om i z a ti o n 2 . In du s t r i a l R e v o lut i o n t h ro u g h in t ro du cti o n o f ma ss p ro du cti o n ba s e d o n t h e d i v is i o n o f la bou r po w e re d by e lec t r i c a l ene r g y In d ustry 2.0 1 . In du s t r i a l Re v o lut i o n t h ro u g h in t ro du cti o n of me c ha n ic a l p ro du cti o n f a ci l ities po w e red by

l'usine du future – France Smart Manufacturing Leadership Coalition

Manufacturing Industry Innovation 3.0 – Korea

Major component of the revolution: Big Data Data is produced everywhere According to IBM 2.5 – 3 exabytes / day 1 exabyte = 1.000.000.000.000.000.000 bytes 90% of data produced in the last two years

Autonomous Robots

Simulation of Plant Operations

Horizontal and Vertical System Integration

AirDesign

Cybersecurity

The Cloud

Additive Manufacturing

Augmented Reality

V irtual Plant-Operator T raining Siemens- Comos