Packaging optimization based on thermal parameters
Neovision upgrades Emball'ISO thermal simulations with AI, leading to the creation of a new business model and Lainpharma, Emball'ISO's spin-off.
Issue
Some products require strict packaging to maintain their effectiveness, especially vaccines and other pharmaceutical products. To ensure that the cold chain is not broken (temperature excursions during which the product is exposed to temperatures that can degrade its quality), our client conducts extensive simulations for each customer’s journey.
Provided solution
Neovision has been approached to develop packaging optimization software based on variations in thermal parameters. We have developed a solution capable of quickly predicting temperature variations and potential temperature excursions.
Benefits for the client
This solution allows operators to choose the most suitable packaging based on the climatic conditions the product will encounter during its journey. It helps to minimize the risks associated with the cold chain, optimize packaging selection, and optimize associated routes.
Thermal variations forecast with AI
The limits of physical simulations
Multiple models have been used to optimize thermal predictions. Initially, Emball'Iso would use physical simulation models to simulate different temperature variations based on the interactions between objects. However, these simulations were time-consuming.
AI upgrade
To overcome this limitation, Neovision developed learning models based on historical time series data of interior and exterior temperatures of packaging. These models enable the prediction of thermal variations for new journeys.
Données, anonymisation, annotations
The operator selects a parameterized package model within the web application (size, cooling modules, etc.). Then, they input the estimated itinerary of the package along with the associated temperatures.
For example, for a package traveling from Berlin to Grenoble, they could provide the following information:
- 2 days of storage in Berlin – estimated outside temperature: 5°C
- 1 day of air transportation from Berlin to Lyon – estimated temperature: -10°C
- 1 day of transportation from Lyon to Grenoble – estimated temperature: 10°C
The web application generates a graph for each packaging option, displaying the interior temperature of the package during the journey, as well as specific moments when the product will be exposed to unsuitable temperatures.
Emball'Iso and Lainpharma can now adjust the packaging models in the interface and find the most suitable packaging option.
Client testimonial
We first met Neovision at a Bpifrance event. The collaboration has been highly beneficial, enabling us to offer new services to our clients and create a new business activity, notably through the creation of Lainphrama.
Client
Lain Pharma, Emball’ISO
Lyon (France)
Sectors
Technologies
#Applications Web
