Moving on to the digital twin.
Digital twin are accurate virtual copies of objects,
products, people, processes, supply chain,
and even the entire business ecosystem.
It is created by analyzing data collected from IoT
sensors that are integrated into original objects.
This cloud connected data gives engineers a real time view of what is
happening to an object in both structural and operational views,
allowing the engineers to monitor the system and model system dynamics.
Before making any changes to the original system,
you can adjust the digital twin to see how the system actually changes.
Next, let us look at the digital twin technology,
can be used to improve the manufacturing operation.
First product design.
Digital twin can virtually prototypes during the design phase and
can be customized to test various simulations and
design before investing in solid prototypes.
This saves time and money by reducing the number of
iterations required to bring the product into production.
Next, process optimization, it can use production line sensors
to create digital twin of your process and analyze key performance indicators.
Adjusting the digital twin can show the next way to optimize production,
reduce deviations, and help analyze root causes.
Quality management, monitoring and
responding to data from IoT sensors during production is
essential to maintain the highest quality and avoid redoing.
Digital twins can model any parts of the manufacturing
processes to determine where deviation occurs or
whether the better material and process can be used.
Supply chain management, supply chain and
logistics distribution companies use digital twin to track and
monitor key performance indicators such as fleet management and route efficiency.
They are especially useful when optimizing just in time or
just in sequence production and analyzing distribution routes.
Predictive maintenance, digital tin for
individual pieces of equipment or manufacturing processes
can deduct variances that indicates the potential need for
preventive repair or maintenance before a serious issue arises.
They can also help improve load level, tool calibration, and cycle times.
Interdisciplinary collaboration, the immediate availability of
operational data from digital twin facilitates interdisciplinary exchanges,
enabling collaboration, improved communication, and faster decision making.
Engineering, production, sales, and marketing all work
together to make more informed decision using the same data.
Analyze customer experience, digital twins are used to collect
data over time that provides insights into the product performance,
sales, and end user experience.
This data helps engineers and designers improve the customer response
to their products, especially through customization and ease of use.
Let us summarize what we have learned.
Digital thread connects the digital and physical words,
transforming how the products are designed, manufactured, and serviced.
Digital thread can deliver value by enabling automation,
extending business process between the department, and
providing updated business data for making informed decision.
Digital twins are accurate virtually replicates of objects,
products, people, processes, supply chains, and
even the entire business ecosystem.
By this, we have come to the end of this topic,
let us meet in another interesting session.
Thank you, learners.