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

Hengzhou Edward Yan, Feng Guo, Baolong Zhang, Yik Kwan Chan, Hong Ting Zhou, Linhe Sun, Tao He, Jiuxing Tang, Hao Chen, Weijie Tan, Suet To (Corresponding Author), Wai Sze Yip (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Article number141612
Number of pages15
JournalJournal of Cleaner Production
Publication statusPublished - 5 Apr 2024


  • Decision-making
  • Economic and environmental sustainability
  • Grey relational analysis
  • Machining
  • Sustainable assessment and modelling
  • Text mining

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • General Environmental Science
  • Strategy and Management
  • Industrial and Manufacturing Engineering


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