Sustainability assessment during machining processes: Evidence from the econ-environmental modelling

Abstract

The growing public concern about sustainable development has increased interest in exploring sustainable machining alternatives. However, the absence of a widely accepted method for evaluating the environmental impact of machining processes and a thorough understanding of the requirements for achieving sustainable development has created a pressing need for integrated assessment models. This study addresses this need by proposing a novel sustainable performance model for evaluating machining processes based on a thorough understanding of economic and environmental sustainability and employing text mining technology and grey correlation analysis. By weighting keyword frequencies in a text mining approach, the model identifies the key factors influencing the development of machining processes toward economic and environmental sustainability, improving the objectivity of sustainable development assessment indexes. To validate the proposed model feasibility, a case study is conducted using existing data from a typical machining process, confirming the effectiveness of the assessment model. The model presented in this study provides a scientific framework for assessing sustainable development in the machining field and a valuable foundation for decision-making that considers both economic and environmental sustainability in machining practices.