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The growing global population and the widespread impact of globalization have resulted in increased demand for goods and services, with manufacturing at the core of this trend. Manufacturers face significant challengesChallenges due to the lack of a comprehensive model for assessing the sustainability of machining processes. This paper presents a scientific assessment model that uses gray relational analysis (GRA) to assess machining sustainability across economic and environmental dimensions, known as the two dimensions in triple bottom lineTriple bottom line (TBL). After reviewing existing literature, we discovered a set of adaptable sustainable indicators that can be adapted to specific manufacturing contexts. Two case studiesCase studies demonstrate the model practical applicationApplication and validity, highlighting its potential as a flexible and effective tool for manufacturers looking to optimize machining operations within the TBL frameworkFramework.

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Evaluation of Sustainable Machining in the View of Triple Bottom Line

  • 章节

  • 发表日期：

    2025年

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  • Wai Sze Yip,
  • Suet To,
  • Hongting Zhou,
  • Jingzheng Ren

摘要

The growing global population and the widespread impact of globalization have resulted in increased demand for goods and services, with manufacturing at the core of this trend. Manufacturers face significant challengesChallenges due to the lack of a comprehensive model for assessing the sustainability of machining processes. This paper presents a scientific assessment model that uses gray relational analysis (GRA) to assess machining sustainability across economic and environmental dimensions, known as the two dimensions in triple bottom lineTriple bottom line (TBL). After reviewing existing literature, we discovered a set of adaptable sustainable indicators that can be adapted to specific manufacturing contexts. Two case studiesCase studies demonstrate the model practical applicationApplication and validity, highlighting its potential as a flexible and effective tool for manufacturers looking to optimize machining operations within the TBL frameworkFramework.