For more than a decade, Digital Twin (DT) technology has gained popularity in many industries. And now it’s time for the pharma industry to also take advantage of the multiple applications of this solution. How? Keep reading to know how can pharma benefit from Digital Twin!
So, in which areas could the Pharma Industry apply a Digital Twin?
A Digital Twin allows you to have a virtual model of any physical object, based on real-time data. Therefore, a DT can be applied in almost every area of the pharma and biopharma industry, enabling the pharma 4.0 reality.
For now, we’ll focus on 4 main areas that can benefit from a Digital Twin:
- Supply chain and stock management
- Process operations
- Product development
- Personalised medicine
Let’s go through each one!
Digital Twin for Supply Chain and Stock Management
A DT can help you optimise the supply chain in various ways. Besides offering you the possibility of a visualisation of a building’s interior, it can also model the amount of energy consumed under different conditions.
Furthermore, a Digital Twin can predict the stock needs for different selling scenarios, assisting in your stock management, even in emergency situations.
Digital Twin for Process Operation
A plant digital twin can help you in two ways:
- Predicting the behaviour under extreme production conditions
- Forecasting the production trends
This allows you to have a real preventive action, keeping control of your process variables.
In addition to this, a DT can contribute to optimised production yields, while reducing waste and experimentation time. It does that by predicting the quality profile during the manufacturing cycle.
Digital Twin for Product Development
Using a Digital Twin in early and late-stage development can lead to cost reductions and to a reduced time to market. Furthermore, it allows you to scale up faster and with fewer resources.
Digital Twin technology can also be applied in the design and optimisation of complex drug products.
Digital Twin for Personalised Medicine
DT can make it easier to shift to personalised medicine. In this context, a DT can, for example, improve healthcare and disease mechanisms understanding, exploring new knowledge, new hypothesis generation, and testing.
You can also apply a DT as a molecule model to predict a set of candidates’ potential behaviour.
Our Work on the Topic
The Digital Twin technology promises the revolution of the pharma industry by optimising different processes.
If you’d like to know more, we suggest you download our article for a deep dive on the subject:
If you’d like to learn more about digital twin technology in the biomanufacturing industry, don’t miss our last blog post on the matter!