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Digital Twin: simulate to prevent.

GSK and Digital Twin:
simulate to prevent

Virtually simulating the production process of vaccines and studying their behavior to manage uncertainties and critical issues.

Approach & Solution

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Approach

GlaxoSmithKline (GSK) is a global leader in the production of influenza vaccines. A worthy role which, as such, which calls for responsability towards the whole of society, since it must necessarily ensure that the products meet the quantitative and qualitative requirements that are imperative for the population. The production of influenza vaccines is a long and complex biological process that begins with the selection and isolation of the viral strain in the laboratory and, after numerous steps, ends with the packaging stage. The most demanding challenge concerns the management of uncertainty due to critical phenomena such as epidemics, which require the production of a large number of doses in the shortest possible time, as well as unpredictable scenarios and events (for example, an epidemic that may deprive the company of the necessary work force). Each phase is subject to rigorous quality controls that must consider variable outcomes and scenarios for better coping with related uncertainty.

Solution

We at Engineering have had the distinction of supporting GSK in planning this process. Through the use of a digital twin we virtualized the entire production process that simulates the vaccines production line through a digital representation obtained using an intuitive graphic interface.
An extremely reliable process thanks to inclusion in the model of the many variables, sources of uncertainty, that can influence the production process. Through our Digital Twin, we provided GSK managers with a reliable decision-making digital assistant

Results

Through our Engineering digital twin, we provided GSK managers with a decision-making digital assistant for:
- Analyzing the production process and providing relevant information.
- Preparing emergency plans for coping with potential critical phenomena.
- Addressing uncertainty through scenario analysis.

Providing relevant information about the production

Reducing uncertainty through scenario analysis

Preparing emergency plans for facing potential issues

Project Value

Process performance
Innovation

Enabling Technologies

AI & Advanced Analytics
digital twin

Our Products & Other Technologies

AnyLogic - Multimethod Simulation Software

Project Team

Fair Dynamics