Asian Journal of Mathematics and Computer Research

The sports engineering domain has traditionally emphasized performance maximization, often overlooking environmental sustainability and long-term ecological impact. With increasing global attention toward climate responsibility and sustainable product design, there is a pressing need for engineering frameworks that simultaneously address athletic performance and environmental efficiency. This paper proposes Eco-Performance Analytics (EPA), a multi-objective optimization framework that integrates performance metrics, biomechanical efficiency, material sustainability, and energy consumption into a unified decision-making model. The framework employs data-driven analytics, life-cycle assessment (LCA), and evolutionary multi-objective optimization algorithms to identify optimal trade-offs between performance enhancement and environmental impact. A conceptual implementation is demonstrated through a sustainable sports equipment design and athlete–equipment interaction model. The proposed framework aims to support designers, coaches, and sports technologists in developing high-performance yet environmentally responsible sports systems.