Three types of digital twins
‘’The potential applications for a digital twin depend on what stage of the product lifecycle it models. Generally speaking, there are three types of digital twins: Product, Production, and Performance, which are explained below. The combination and integration of the three digital twins as they evolve together is known as the digital thread. The term "thread" is used because it is woven into, and brings together data from, all stages of the product and production lifecycles.’’ (Siemens, 2023)
Product
Digital Twins:
Using
digital twins for efficient design of new products and improving the current
products.
Digital
twins can be used for various purposes, for example, they can be used to
virtually validate the performance of products. During this validation, the
products are still acting in the physical world. The ‘’digital product’’
provides a connection between the physical and virtual world and lets whoever
uses it analyze how their product performs under various conditions, without
having to implement them all in the physical world. After testing in the
virtual world, the adjustments can slowly be implemented in the physical world.
When companies are using complex systems and materials, the digital twin will
help them navigate that complexity and assist the companies in making the best
possible decisions.
- The digital twin (product) will help companies with the following:
- Eliminating
the need for multiple prototypes
- Reducing
the total development time
- Improving
the quality of the finished goods
- Allows
quicker response to customer feedback
Production
Digital Twins
Using
digital twins in manufacturing & production planning
When trying
to increase the performance of the production process, for a company it's
crucial to keep the production going as steady as possible. Stopping production
leads to a decrease in finished produced products and the costs to stop and
restart production are relatively high. That’s where the production digital
twin can come in handy. This technology can help to validate how well a
manufacturing process will perform, with the recently made improvements. Do the
changes increase the performance of the manufacturing process, or will they
lead to more downtime, a longer throughput time, or a decrease in the quality
of the product? With a digital twin, the process can be simulated, tested, and
analyzed before implementing the changes in the process. With such a
technology, the improvement of manufacturing processes can be increased,
without shutting down production. An example of a case, where the production
digital twin can come in handy:
Company x
wants to research the influence of increasing the speed of the assembly line by
10%. If the company works don't change anything else, how does this influence
the rest of the production? Will there be a bottleneck? What will happen if we
put an extra operator next to the assembly line? All these possibilities can be
simulated in the production digital twin.
Performance
Digital Twins
Performance
can be monitored by using digital twins to capture, analyze and act on
operational data.
With
factories nowadays improving digitally, more data is available and required.
This also applies to the development of products. All these products and
factories generate much more data than before. All of this data can be used to
determine the utilization and effectiveness of the companies. The digital twin
(performance) captures data from the factories and the products and lets companies
make the desired analysis to provide the needed information to make the right
decisions. Using digital twins (performance), companies can:
- Generate
new business opportunities
- Acquire
insight for the improvement of the virtual models
- Capture,
aggregate, and analyze operational data
- Improving
the efficiency of the production systems
- Improving
the products
Sources:
https://www.plm.automation.siemens.com/global/en/our-story/glossary/digital-twin/24465
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