After three days, all five are back with five different outcomes.
Vignesh had surveyed on product lifecycle management.
Rajeesh on optimizing manufacturing run-up operations.
Vijay on inadequate data integration.
Varun on implementing a digital backbone,
Saranya on how to improve employee effectiveness.
>> Speaker 2: Product lifecycle management needs to be improved between the customer
and automobile system manufacturer.
So that important equipments like engine systems or
body work can be altered as per the customer demand.
Many industries are ready to implement a solution to enable real-time,
enterprise-level visibility globally across our whole product range.
Further development in cutting-edge applications such as digital twin and
investing in multibillion dollar enterprises is essential.
Streamlined IT infrastructure at the factories helps manufacturer to move
beyond technological constraints and adapt to slow digital transformation.
When manufacturers have access to digital networks,
they can deliver unlimited new use cases and new levels of efficiency.
>> Speaker 3: In manufacturing business,
many things are frequently improvised to perform things more effectively.
Many established organizations are there to optimize a company's
manufacturing processes.
Optimizing the program to reduce running time of CAM and
CNC operations is one of the top paying professions in the industry.
Nowadays, manufacturers aim to be efficient.
They are constantly looking for a better way to operate a process or
simplify a process, but this is nearly based on operational technology or OT.
Over the last decade, information technology, IT,
has played a significant role in the fourth industrial revolution.
Improvements in operational efficiency have been in practice for a long time.
But only in the last decade, the businesses have improved their operations
by changing the appearance of the machines or manufacturing floors.
Digital transformations have introduced innovative technologies to promote
modernization of workplace infrastructure.
There are several things which helps to optimize a manufacturing processes.
They are, data collection, computing power, and sensors which uses
Internet of Things, cloud technology and blockchain connectivity.
Analytics and intelligence ranging from big data and advanced analytics
to artificial intelligence and knowledge task industrialization.
Interactions between humans and machines such as virtual and augmented reality,
robotics and automation, robotic process automation or RPA and chatbots.
Cutting-edge manufacturing techniques such as additive manufacturing and
the utilization of renewable energy.
Use of modern technology to introduce innovation.
Improved staff communication, predictive analytics and
real-time data insights are all reasons to invest in vital digital infrastructure.
By integrating facility planning and development with current technologies,
a digital infrastructure strategy helps transcend old limits.
Make smarter judgment more quickly.
Make data analytics the focal point of your digital transformation strategy.
Through IoT, businesses can now gain access to massive volume of data.
With the correct analytical tools, you can transform data into
business insights that allow for quick and precise decisions.
>> Speaker 4: In the manufacturing industry,
there are several sectors such as design, production, and marketing.
We are aware that data is only collected and processed within a particular sector,
which is not sufficient for the process implementation.
The function of digital infrastructure is to integrate data from several production
environment or sector, which organize the process implementation.
>> Speaker 5: Every company must have a centralized data infrastructure.
Simply gathering all the data is useless.
It should be correlated and analyzed throughout the organization.
Trust is an important aspect of your data strategy.
Trust extends beyond information technology security and data protection.
This relates to the volume and location of data gathered,
the length of time it is retained, and data sovereignty.
This includes ethical considerations for data collecting and analysis.
Manufacturing's future is strongly reliant on information technology.
In 2023, there was approximately 18 billion IoT devices in use,
but this figure is predicted to increase to 41 billion by 2027.
With manufacturing accounting for the majority of its growth,
the value of AI in the industrial business will rise more than fifteenfold by 2026,
rising from $1.1 billion to $16 billion.
India has benefited from both demographic dividend and youth population.
India is strengthening its footprint in the rising global market by investing in
digital information technology services.
>> In industrial organizations,
IoT paired with big data analytics increases worker safety.
It assists you in tracking key performance indicators, KPIs,
such as staff absentism, accidents, machine damage,
and other issues that can interfere with employee productivity.
IoT variables are a significant solution in this instance.
>> Speaker 1: Now, each of them have come across several problematic areas
employed in manufacturing industry.
>> Speaker 2: Product lifecycle management will help to alter the product base on
the customer demand.
>> Speaker 3: Optimizing manufacturing runoff operation will improve
the production run-up time.
>> As inadequate data integration will help us to enhance and
analyze the process.
>> Speaker 5: Implementing a digital backbone will help us to collect
data from several sectors.
>> Speaker 6: Improving employee effectiveness will help us to
increase worker safety.
>> Speaker 1: Rajeesh saw a way on optimizing manufacturing run-up operations
will improve the production run-up time.
Let us summarize all that you have learned.
Acquired knowledge about strategies and
transformation technologies in digital manufacturing.