LCA SIMULATOR, a Data-Driven Approach to Recipe Optimisation

LCA SIMULATOR is the first and only software in the world that allows modelling, evaluating, and improving many performance parameters of tanning and re-tanning recipes.

By modifying process parameters such a water temperature, chemicals’ dosage, running times etc., the tool supports the creation of multiple scenarios to improve resource use, costs, and environmental performance of recipes.

With the LCA simulator it is possible to:  

Model tanning recipes, operation by operation, with different lot characterizations, water temperatures and quantities, running time, chemical products, and dosage. 

Simultaneously assess recipe process performance, impacts such as carbon or water footprint, costs, and the leather quality. 

The tool allows a comprehensive breakdown of impact hotspots across multiple inputs, compare alternative recipes, and simulate improvement measures, such as increasing the renewable rate of energy, replacing chemical products with sustainable alternatives, optimizing overnight times, and much more. 

Additionally, the online platform allows download of all results in form of practical spreadsheet reports.

Licensing options includes a package of 4 online hours of technical support and training, regular software and database updates.

The increasing demand for transparency, environmental performance, cost competitiveness and product stewardship in the tanning industry requires companies to adopt more advanced methods for evaluating production processes and identifying improvement opportunities.

LCA Simulator provides a robust framework for assessing tanning and post-tanning recipes, enabling organisations to evaluate alternative solutions, measure impacts and support sustainability objectives with reliable and consistent data.

Request a Personalized Demo

See how LCA Simulator can support your technical, sustainability and commercial teams.

During the demo, we will show:

1. How the platform works
2. How to model and compare recipes
3. How to identify improvement opportunities
4. Real examples and use cases
5. The value your organization can generate
6. How to import custom data
7. How to visualize and analyse multiple performances