Towards a Systematic Dynamic Calculation of Material Carbon Footprints Through Harmonized Material Taxonomies and Enterprise Resource Planning Data Integration

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Provides a methodological framework for dynamic carbon footprint calculation using ERP data, relevant for carbon accounting research.

🏢実務担当者:Offers a practical approach to automate and improve the accuracy of Scope 3 emissions reporting using existing ERP systems.

🏛政策担当者:Highlights the potential for data integration standards to enhance the reliability of corporate emissions disclosures.

Industry makes up the largest contribution to Greenhouse Gas (GHG) emissions, with three-quarters of global GHG emissions derived from it. Industrial GHG emissions themselves have been growing faster since the 2000s than any other sector due to an increase in material extraction and production as its demand exceeds economic and population growth. A slight change in procurement could lead to a fluctuation in products’ GHG emissions, especially in large, complex products or systems with a short cycle. This creates a problem, where additional effort is required in the data collection processes. At the same time, state-of-the-art technologies had been introduced to the manufacturing environment to capture more accurate data. In this paper, we incorporated an event-based architecture alongside the Enterprise Resource Planning (ERP) system to bring material and emission data into a dynamic visualization tool. This method enables the calculation of material GHG emissions based on each order from the ERP system, providing a more accurate and detailed estimation and result.

• semanticscholar https://www.ijimt.org/vol17/IJIMT-V17N2-981.pdffirst seen 2026-08-01 06:23:22