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

ABSTRACTThis 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, incorporati...
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Autor*in:	Muhammad Atif [verfasserIn] Faraz Junejo [verfasserIn] Imran Amin [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Machine parameter optimisation multi-objective optimisation sustainability assessment multi-criteria decision-making validation sustainable manufacturing

Übergeordnetes Werk:	In: International Journal of Sustainable Engineering - Taylor & Francis Group, 2022, 17(2024), 1, Seite 24
Übergeordnetes Werk:	volume:17 ; year:2024 ; number:1 ; pages:24

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1080/19397038.2023.2287478

Katalog-ID:	DOAJ100015301

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callnumber-first	T - Technology
author	Muhammad Atif
spellingShingle	Muhammad Atif misc TA1-2040 misc Machine parameter optimisation misc multi-objective optimisation misc sustainability assessment misc multi-criteria decision-making misc validation misc sustainable manufacturing misc Engineering (General). Civil engineering (General) Development of a framework for sustainability assessment of the machining process through machining parameter optimisation technique
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topic_title	TA1-2040 Development of a framework for sustainability assessment of the machining process through machining parameter optimisation technique Machine parameter optimisation multi-objective optimisation sustainability assessment multi-criteria decision-making validation sustainable manufacturing
topic	misc TA1-2040 misc Machine parameter optimisation misc multi-objective optimisation misc sustainability assessment misc multi-criteria decision-making misc validation misc sustainable manufacturing misc Engineering (General). Civil engineering (General)
topic_unstemmed	misc TA1-2040 misc Machine parameter optimisation misc multi-objective optimisation misc sustainability assessment misc multi-criteria decision-making misc validation misc sustainable manufacturing misc Engineering (General). Civil engineering (General)
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title	Development of a framework for sustainability assessment of the machining process through machining parameter optimisation technique
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title_full	Development of a framework for sustainability assessment of the machining process through machining parameter optimisation technique
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title_sort	development of a framework for sustainability assessment of the machining process through machining parameter optimisation technique
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title_auth	Development of a framework for sustainability assessment of the machining process through machining parameter optimisation technique
abstract	ABSTRACTThis 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
abstractGer	ABSTRACTThis 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
abstract_unstemmed	ABSTRACTThis 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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title_short	Development of a framework for sustainability assessment of the machining process through machining parameter optimisation technique
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