This document discusses Industry 4.0 and smart factories. It begins by outlining the stages of the industrial revolution and key technologies of Industry 4.0 like IoT, cloud computing, and augmented reality. It then describes the philosophy of Industry 4.0, including how new information technologies can help address sustainability issues. System architectures for smart factories are presented, involving physical resources connected through an industrial network to cloud systems and supervision terminals. Technical challenges of implementing smart factories are discussed, along with examples of smart factory prototypes and their benefits.

2. INTRODUCTION
These are the stages of industrial revolution.
• Now we are in fourth stage of industrial revolution
• Industry 4.0 called as high tech strategy implemented in
Industries

3. Technologiesused inIndustry 4.0:
• BIGData
• Autonomous Robots
• Simulation
• System Integration
• IOT
• Cyber security
• Cloudcomputing
• Additive manufacturing
• Augmented reality

4. Philosophy of Industry 4.0
Background and purpose:
• It talks about main features and enabling technologies for
smart factory development.
• Due to current production model not sustainable,Industrial production
leadsto climate change ,pollution and using non renewable sources and
work force shrinkage.
• So we use emerging information technologies to implement IOT and
other services.
Kinds of Integration:
• Horizontal Integration
• Vertical Integration
• End to end Integration
Needed Technologies:

6. Smart factory support by IWN and Cloud
System Architecture:
• From previous slide it tells about a smart factory frame work
which contains four layers.
• Physical resources are implemented with smart things which
can communicate with each other through industrial network
• Various informative systems (ERP) exist in cloud which can
collect massive data from physical resource layer and interact
with people through terminals.
Physical resource layer
Industrial Network Layer
Cloud Layer
Supervision and Control Terminal Layer

7. Operational Mechanisms:
• From view of control engineer the smart factory can be viewed
as closed loop system.
• In the centre of control loop is the network of smart artifacts
and it has 3C capabilites and beyond this it has autonomy and
sociality.
• Due to big data analytics the global state of system can be
extracted from massive real time system information
• Based on powerful self computing ability the block process this
big data to serve two purposes:
1.Coordinate the behaviours of distributed smart artifacts
2.Feed back performance indicators to the self organized network

9. SMART FACTORY
PRODUCTION SYSTEM
Traditional production
line
Diverse Resources Limited and predetermined
resources
Dynamic routing Fixed Routing
Comprehensive Connections Shop floor control network
Deep convergence Separate layer
Self organization Independent Control
BIG data Isolated information

10. Benificial outcomes:
• Flexibility
• Productivity
• Resource and energy Efficiency
• Transperancy
• Promoting Integration
• Profitable
• Friendly to staff

11. APPLICATION DEMONSTRATION
• The smart factory is particular implementation of CPS that is based on
extensive and deep application of information technologies to
manufacturing.
• Smart factory prototype of German Research Center for Artificial Intelligence in
Kaiserslautern ,chemicals gaint BASF SE produces fully customized shampoos and liquid
soaps.
• As a test order is placed online ,the empty soap bottle that is attached with Radio
frequency Identification tag(RFID) communicates to production machines what kind of
soap ,fragrance ,bottle cap and labeling it requires .Each bottle has potentially to be
entirely different from one next to it on conveyor belt.The do all talking,with the only
human input coming from the person placing sample order.
Smart factory prototype:
I. Raw products with RFID tags:
The raw materials that will be procesed by factory are pasted with readable
and writeble with RFID tags .these tags helps to organize machines and
configure production route. The content of RFID is keep updated .

12. II. ROBOTIC MACHINES:
• Here we use 10 six joint serial robots for loading and un loading plus
20 cartesian robots for machining and testing.The serial robots fetch
products from conveying system put products on fixture of cartesian
robots and vice versa.Fetching positions are marked with
Sensors and machine vision technology
III. CONVEYING SYSTEM:
• we are designing and developing a railway like conveying system . A two
meter long linear module and right angle arc module are used to assemble multiple
connected cyclic tracks.AGV s run along these tracks.

13. Private cloud:
• we setup a private cloud with five servers . With cloud computing the network of
servers is virtualized as super computer for our smart factory platform.
Large screen and small terminals:
• We construct a 1 meter wide and 3 meter LCD for displaying various kinds of big
data analytics results and vr model of smart manufacturing platform .
• Both IOS and android based smart phones and windows or UNIX based PCs are
connected through cloud through WIFI acess points .
• Mobiles and fixed terminals acts for super vision and control purpose.

14. Technical Challenges
• Intelligent decision making and Negotation mechanism
• High speed IWN protocols
• Manufacturing specific BIG data and its Analytics
• System modelling and analysis
• Cyber property security
• Modularized and flexible smart artifacts

15. CONCLUSION
The factory helps to implement the sustainable production
mode to cope with global challenges .It can lead to novel business
models and even effect our life style .
Although implementation of smart factory is still facing some
technical challenges but we are walking on right path by
simultaneously applying the existing technologies and
technological advencements.

16. ANY QUERIES

17. THANK YOU
BY
B.Nagamohan