ERP-Powered ESG Intelligence: Measuring Carbon Footprint of Medical Device Supply Chains
Abstract
There is a growing demand for environmental sustainability in the medical device industry. Globally, the healthcare systems' carbon emissions are largely attributable to complex supply chains, including raw materials extraction, product manufacture, distribution, and disposal. Today, ERP has evolved into sustainability intelligence software for monitoring and measuring environmental performance, enabling real-time carbon footprint tracking in procurement, manufacturing, and distribution. Modern ERP may deliver ESG modules for Scope 1, 2, and 3 emissions management, and help organizations meet quality management system regulations of medical device manufacturing. Artificial intelligence algorithms can increase the accuracy of emission factors and promote carbon accounting through the automatic classification of procurement data, classification of supplier features, and natural language processing of environmental documentation. Regulatory frameworks such as the EU Corporate Sustainability Reporting Directive (CSRD) and voluntary frameworks such as CDP climate disclosure are pressuring medtech companies to develop carbon accounting capability. ERP-enabled dashboards provide product-level carbon footprints, supplier engagement platforms, and hotspots for focused decarbonization activities while automating carbon accounting and reporting in compliance with global standards. Medical device companies adopting integrated ESG intelligence systems have a competitive advantage in regulatory compliance, operational efficiency, sustainability-linked funding, and distinguishing themselves in the sustainable healthcare market. By extending from retrospective environmental reporting to predictive carbon management, medical technology companies are positioned to lead healthcare, accelerate change, and meet growing stakeholder demand for climate transparency and assurance across global value chains.
Fields of Study & Subjects
Sustainable Supply Chain Management
Environmental Impact and Sustainability
Green IT and Sustainability
Publication details
- Journal / source
- International Journal of Computational and Experimental Science and Engineering
- Volume
- 12
- Issue
- 1
- Publication date
- 16 January 2026