ANALYSIS OF SUSTAINABLE MINING SUPPLY CHAINS

Abstract

The future of mining relies on solutions that are sustainable, efficient, and credible for the communities that live alongside mining operations. This research provides an integrated framework that addresses both ends of the spectrum: artisanal and small-scale mining (ASM), where immediate water conservation and basic treatment capabilities are crucial; large-scale mining operations, where decarbonized energy logistics within transparent governance structures are essential; as well as a unified decision analytics framework for conflict management in mining communities. This research addresses these gaps through four interrelated studies.. First, the review of sustainable operational efficiency (SOE) in the mining industry (MI). Second, the establishment of multi-stage water treatment networks that meet regulatory standards for reuse. Third, the development of transport modes for natural gas (NG) delivery to decrease the effects of traditional fuels. Finally, the implementation of commitment mechanisms that transform benefit-sharing and grievance processes from aspirations into realities. At the core of this framework are multi-objective optimization models that evaluates trade-offs aligned with the quadruple bottom line (QBL) of the sustainability framework. As well as decision analysis models for effectively translating stakeholder preferences into clear priorities through sensitivity assessments. Together, this dissertation contributes a cohesive field-ready methodology for designing mining systems for both ASM and large scale mining that preserve waterbodies, minimize emissions, and secure license to operate by aligning engineering design with responsible community-informed governance.