2. • The Industry 4.0 is a conglomeration of many technologies and the
Industries can choose one technology or several technologies depending
on their problem statements.
• With rapid development in Internet of things (IoT), Artificial intelligence
(AI), Big Data, Virtual reality, Quantum computing and science of Robotics,
most of the plant operation can be automatically controlled without any
compromise on quality. Concepts like predictive maintenance, inventory
management can bring down cost as well as shut down.
• This will also take project management to a new level and completely
change the methodology of project execution with minimum design
changes, rework the mistakes, leading to project execution within strict
time schedule, with hardly any room for cost or time overrun.
3. Worldwide Practice
• Most Noteworthy PosFrame
• As a pilot smart factory in Gwangyang steelworks in 2015
• The largest establishment of korea at 18MTPA
• Studied the data accumulated in last 51years
• Each and every operation has been digitalised .
• From 2017 ,each and every employee of POSCO in Gwangyang has
been trained in automation.
4. Arcellor Mittal Group
• Thousands of sensors talk to each other located at different plants
thereby building a huge database which drives the plant.
• Extensive use of drones by applying infrared for thermal mapping
and energy consumption .
• Virtual Reality training /Simulator training .
• AI for process dimension measurement and course correction .
• Inspection by using handheld devices .
5. In India
• Industry 4.0 is at rudimentary stage .
• Tata steel uses robotic system for wagon tippler operation at its
kalinganagar plant.
• JSPL at its Angul plant has used IoT framework to switchover to
predictive maintenance regime .
• RINL and STPI have established a centre of excellence in the premises
of vizag steel plant to work on Industry 4.0
7. Short Term (2030) Medium Term (2040) Long Term (2047)
Technology
development
&
Human
Resource
• Scale up R& D
investment
• Develop and usage of
AI models in Process
and maintenance
• Employment
generation : 44 lakh
(Direct + Indirect)
• Scale up R& D investment
• Trails of Automation and
Robotics
in safety concern areas
• Employment generation:
1.2 crore
(Direct + Indirect)
• R& D investment-10% of
capital investment
• Full Automation and
robotics driven operation
in areas with safety
concerns
• Employment generation:
2 crore
(Direct + Indirect)
8. Key Focus
Area
Current Capabilities Vision 2030 (NSP
2017)
Vision 2047
Adopt
Industry 4.0
Currently at nascent
stage
-Develop and usage of AI
models in Process and
maintenance
• To use IoTs, IT, Automation,
Digitization, Augmented Reality
to improve productivity,
efficiency, yield and quality with
reduced cost