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Development of a framework for sustainability assessment of the machining process through machining parameter optimisation technique

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Title: Development of a framework for sustainability assessment of the machining process through machining parameter optimisation technique
Authors: Muhammad Atif, Faraz Junejo, Imran Amin
Source: International Journal of Sustainable Engineering, Vol 17, Iss 1, Pp 1-24 (2024)
Publisher Information: Taylor & Francis Group, 2024.
Publication Year: 2024
Collection: LCC:Engineering (General). Civil engineering (General)
Subject Terms: Machine parameter optimisation, multi-objective optimisation, sustainability assessment, multi-criteria decision-making, validation, sustainable manufacturing, Engineering (General). Civil engineering (General), TA1-2040
More Details: This study introduces a comprehensive framework that integrates Multi-objective optimisation with Multiple-Criteria Decision Making (MCDM) techniques to enhance decision-making in sustainable machining processes. Through a systematic literature review, the framework is developed, incorporating sustainability indicators, experimental validation, and multi-objective optimisation algorithms to identify the optimal machining conditions. To address the challenge of subjective judgements and the multiple solutions generated by multi-objective optimisation, MCDM techniques are employed to select the best solution. By considering economic viability, environmental impact reduction, and social commitment, the proposed framework overcomes the limitations of traditional optimisation approaches. It provides an objective and holistic approach to decision-making, promoting sustainability in machining processes. The framework’s effectiveness and applicability are demonstrated through a case study, validating its potential for practical implementation and informed decision-making
Document Type: article
File Description: electronic resource
Language: English
ISSN: 19397038
1939-7046
1939-7038
Relation: https://doaj.org/toc/1939-7038; https://doaj.org/toc/1939-7046
DOI: 10.1080/19397038.2023.2287478
Access URL: https://doaj.org/article/21c376d75434484b951a71deeebc8659
Accession Number: edsdoj.21c376d75434484b951a71deeebc8659
Database: Directory of Open Access Journals
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  Data: Development of a framework for sustainability assessment of the machining process through machining parameter optimisation technique
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  Data: International Journal of Sustainable Engineering, Vol 17, Iss 1, Pp 1-24 (2024)
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  Data: <searchLink fieldCode="DE" term="%22Machine+parameter+optimisation%22">Machine parameter optimisation</searchLink><br /><searchLink fieldCode="DE" term="%22multi-objective+optimisation%22">multi-objective optimisation</searchLink><br /><searchLink fieldCode="DE" term="%22sustainability+assessment%22">sustainability assessment</searchLink><br /><searchLink fieldCode="DE" term="%22multi-criteria+decision-making%22">multi-criteria decision-making</searchLink><br /><searchLink fieldCode="DE" term="%22validation%22">validation</searchLink><br /><searchLink fieldCode="DE" term="%22sustainable+manufacturing%22">sustainable manufacturing</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+%28General%29%2E+Civil+engineering+%28General%29%22">Engineering (General). Civil engineering (General)</searchLink><br /><searchLink fieldCode="DE" term="%22TA1-2040%22">TA1-2040</searchLink>
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  Label: Description
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  Data: This study introduces a comprehensive framework that integrates Multi-objective optimisation with Multiple-Criteria Decision Making (MCDM) techniques to enhance decision-making in sustainable machining processes. Through a systematic literature review, the framework is developed, incorporating sustainability indicators, experimental validation, and multi-objective optimisation algorithms to identify the optimal machining conditions. To address the challenge of subjective judgements and the multiple solutions generated by multi-objective optimisation, MCDM techniques are employed to select the best solution. By considering economic viability, environmental impact reduction, and social commitment, the proposed framework overcomes the limitations of traditional optimisation approaches. It provides an objective and holistic approach to decision-making, promoting sustainability in machining processes. The framework’s effectiveness and applicability are demonstrated through a case study, validating its potential for practical implementation and informed decision-making
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        Value: 10.1080/19397038.2023.2287478
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      – Text: English
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        PageCount: 24
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      – SubjectFull: Machine parameter optimisation
        Type: general
      – SubjectFull: multi-objective optimisation
        Type: general
      – SubjectFull: sustainability assessment
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      – SubjectFull: multi-criteria decision-making
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      – SubjectFull: validation
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      – SubjectFull: sustainable manufacturing
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      – SubjectFull: Engineering (General). Civil engineering (General)
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      – SubjectFull: TA1-2040
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      – TitleFull: Development of a framework for sustainability assessment of the machining process through machining parameter optimisation technique
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              Y: 2024
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