Development of Mathematical Empirical Equation for Eco-score in Green Audit

Abstract

The pursuit of sustainability in contemporary industries has spurred the adoption of green auditing practices to assess environmental performance. Central to this endeavour is the development of robust metrics capable of quantifying ecological impacts across various operational domains. This study proposes the formulation of a mathematical empirical equation termed the 'Eco-Score' to evaluate the environmental footprint of processes within the context of green audits. Drawing upon established principles of environmental science and mathematical modelling, the Eco-Score equation integrates key parameters such as energy consumption, resource utilization, emissions, and waste generation. Through a systematic analysis of these variables, the equation aims to provide a comprehensive assessment of the ecological efficiency of industrial operations. The development of the Eco-Score equation involves rigorous empirical data collection and statistical analysis to calibrate coefficients and validate the model's accuracy. Furthermore, the equation's versatility enables its adaptation to diverse industrial sectors, facilitating standardized environmental performance evaluation across industries. By offering a quantitative framework for green audits, the Eco-Score equation contributes to enhancing environmental management practices and fostering sustainability initiatives within organizations. Its implementation holds promise for promoting responsible resource utilization, minimizing environmental impacts, and driving continuous improvement in ecological performance.

Keywords: Eco-Score, Green Audit, Sustainability, Environmental Performance, Mathematical Modelling.