Life Cycle Assessment
To ensure transparency and gain a better understanding of environmental impact, various methods are applied. One of these is Life Cycle Assessment (LCA), which maps out the environmental footprint of products at every stage of the supply chain, identifying where CO₂ emissions and other environmental impacts occur.
Insights from LCA provide a solid foundation for improving processes, minimizing environmental impact, and driving the transition toward a greener and more sustainable future.
The increasing usage of LCA’s is a positive development, but the reliability and transparency of the data used remain crucial. LCA results are often considered factual, while in reality, they may be based on incomplete data. Collecting primary data from supply chains is complex, time-consuming, and costly, which is why using software and tools with secondary data provides a practical solution. While there is nothing wrong with this in itself, the transparency is important.
Aminola Accuracy Model
To better assess and communicate the accuracy and representativeness of LCA data, the ©Aminola Accuracy Model (©AAM) has been developed. This model allows the ‘accuracy’ of the data used within each key process step of the supply chain to be scored, and an overarching ‘accuracy score’ to be given for an LCA for a product. By applying various quality criteria, a more transparent view of the actual reliability of LCA results is created. This helps provide a clearer and more accurate understanding of environmental impacts, with the ultimate goal of improving transparency in sustainability assessments.
