Leather Life Cycle Assessment (LCA) provides a complete evaluation of the environmental impacts associated with leather production, from raw material sourcing to the finished product. Leather LCA enables companies to measure, manage, and reduce their environmental footprint while promoting sustainable practices within the leather supply chain, highlighting improvement hotspots and providing environmental impact reduction and leather technical performance improvement measures.

Assessment of the environmental impacts related to animal farming, including resource consumption (water, soil, feed), greenhouse gas emissions (methane, nitrous oxide),from enteric fermentation and manure management, and biodiversity loss. Used to identify sustainable practices in livestock farming and reduce the environmental impact along the livestock production supply chain.

Analyzes the life cycle impacts of chemicals, from production, use, to disposal. It assesses factors such as air and water pollution, toxic emissions, and energy consumption.

Analysis of the environmental impacts throughout the life cycle of meat, covering animal slaughtering, processing, transportation, and distribution of finished packaged products. It evaluates resource usage, emissions, waste generation, and energy consumption. Helps improve production techniques and reduce emissions in the meat industry.

Analyzes the environmental impact of innovative new materials (e.g., biomaterials, recycled materials, leather alternatives). It evaluates their environmental performance compared to traditional materials.

Assessment of the life cycle of finished products, covering all phases from material harvesting, manufacturing, assembly, use, to end-of-life disposal. Applicable to products like clothing, accessories, cars, and more.

The BRICKs model is a modular system enabling the calculation of LCA for leather products through the combination of a sequence of processes. Each phase of leather production is assigned its own LCA BRICK, allowing companies to model processes efficiently and independently update future LCAs by integrating transport impacts and process variations.

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