Review of Evaluation and Decision-Making Framework for Remanufacturing Spent Electric Vehicle Traction Motors.

The global acceleration in electric vehicle (EV) adoption is projected to result in a substantial volume of spent traction motors reaching end of life EoL), especially in emerging economies. Addressing this challenge, the present study develops a comprehensive evaluation and decision-making framework to support the remanufacturing of EoL traction motors within Ghana’s circular economy context. The methodology integrates RUL prediction algorithms, a Multi-Stage Testing Protocol (MSTP), remanufacturability scoring using hybrid Multi-Criteria Decision Analysis (MCDA), and safe dismantling procedures aligned with Ghana’s EPA Act 917 and LI 2250. Tools such as vision-based screw detection, robotic disassembly path modelling, and non-destructive magnet removal are incorporated to ensure technical feasibility and operator safety. Results demonstrate the effectiveness of predictive models in estimating degradation patterns and confirm the technical viability of semi-automated disassembly workflows. The developed remanufacturing feasibility scoring tool enables objective selection of candidate motors for reuse, factoring performance, and environmental impact. This work offers a replicable, data-driven framework that strengthens local remanufacturing infrastructure, reduces reliance on critical raw materials, and advances sustainable motor lifecycle management in low and middle-income countries.