A STUDY ON NON-FERROUS METALS SOURCING: A FRAMEWORK FOR ENHANCING SUPPLY CHAIN EFFICIENCY

Abstract

The sourcing of non-ferrous metals is crucial for various industries, including automotive, aerospace, electronics, and renewable energy, due to their lightweight, corrosion resistance, and high conductivity. However, the procurement of these metals is fraught with challenges such as price volatility, geopolitical risks, supply chain disruptions, and environmental concerns. This study utilizes geospatial data from the Homeland Infrastructure Foundation-Level Data (HIFLD) database to analyze the distribution of non-ferrous metal mines in the United States, employing Geographic Information System (GIS) tools to assess sourcing efficiency, risk exposure, and sustainability factors. The findings indicate that non-ferrous metal mining operations are highly concentrated in specific regions, particularly in Nevada, Arizona, and Utah, highlighting the need for diversified sourcing strategies to mitigate regional dependencies. By integrating data-driven decision-making, sustainability considerations, and predictive analytics into procurement strategies, businesses can enhance supply chain resilience and optimize sourcing efficiency. The study provides recommendations for incorporating real-time data analytics, machine learning forecasting, and blockchain transparency to address sourcing challenges and support long-term strategic planning.