optimization of Tin extraction from PCB boards using AHP-TOSIS model

The rapid growth of electronic waste (e-waste) has increased the need for sustainable approaches to recover valuable metals like tin, from waste printed circuit boards (PCBs). This thesis establishes a decision-support framework for evaluating and ranking hydrometallurgical extraction methods for tin recovery that uses the Analytic Hierarchy Process (AHP) combined with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The framework considers technical, environmental, and economic criteria to provide a comprehensive evaluation of alternative recovery methods. The decision-support framework includes the use of structured expert interviews with professionals in hydrometallurgy, e-waste recycling, and related fields to obtain practical insights and modify the evaluation model. Combining expert knowledge and multi-criteria decision-making models, the project seeks to identify the most sustainable extraction methods while contributing to the gap between theoretical assessments and industrial applicability . The results will provide value to both researchers and practitioners by reducing resource intensive and safe approaches to e-waste management.