Multi-criteria decision-making approach for evaluating the critical determinants of machine tool integrity

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Cogent Engineering vol. 12, no. 1 (Dec 2025)
मुख्य लेखक: Aderoba, Olugbenga Adegbemisola
अन्य लेखक: Mpofu, Khumbulani, Buliaminu Kareem, Olurotimi, Akintunde Dahunsi, Olayinka Oladele Awopetu, Ilesanmi Afolabi Daniyan
प्रकाशित:
Taylor & Francis Ltd.
विषय:
ऑनलाइन पहुंच:Citation/Abstract
Full Text - PDF
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024 7 |a 10.1080/23311916.2025.2527212  |2 doi 
035 |a 3282096975 
045 2 |b d20251201  |b d20251231 
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100 1 |a Aderoba, Olugbenga Adegbemisola  |u Department of Industrial Engineering, Tshwane University of Technology , Pretoria , South Africa 
245 1 |a Multi-criteria decision-making approach for evaluating the critical determinants of machine tool integrity 
260 |b Taylor & Francis Ltd.  |c Dec 2025 
513 |a Journal Article 
520 3 |a Abstract Machine tools degrade with time, and critical determinants influencing machine tool integrity are often unknown, overlooked, and with multiple conflicting criteria during operation and maintenance. This study introduces a hybrid fuzzy DEMATEL–ANP framework to assess and prioritise the determinants of machine tool integrity. Key integrity determinants were identified using literature reviews, expert opinions, and questionnaires. The Fuzzy DEMATEL established cause-and-effect relationships between determinants, while the ANP technique modelled their interdependencies and prioritized them based on their impact on machine tool integrity. Using empirical data collection, critical determinants such as machine tool beds and guideways were identified and evaluated alongside less significant parameters like illumination and weather conditions. This process was facilitated by a developed integrity software named INTEGMAC to numerically determine the integrity. Initial 79.21% total integrity was obtained on INTEGMAC using synthetic data, and subsequent enhancements through INTEGMAC-recommended remedial actions led to 97.2% integrity highlighting Integmac’s proven responsiveness and effectiveness to input data. This study characterises machine tool integrity into four groups namely the death knell parameters, pseudo-death-knell parameters, living parameters, and superfluous parameters providing decision-makers with a subjective assessment tool to evaluate each determinant’s relative importance, while also offering a platform to optimize integrity following manufacturer’s performance specifications. 
653 |a Computer program integrity 
653 |a Subjective assessment 
653 |a Parameter identification 
653 |a Weather 
653 |a Multiple criterion 
653 |a Decision making 
653 |a Data collection 
653 |a Synthetic data 
653 |a Literature reviews 
653 |a Abstract machines 
653 |a Machine tools 
700 1 |a Mpofu, Khumbulani  |u Department of Industrial Engineering, Tshwane University of Technology , Pretoria , South Africa 
700 1 |a Buliaminu Kareem  |u Department of Industrial and Production Engineering, Federal University of Technology , Akure , Ondo State , Nigeria 
700 1 |a Olurotimi, Akintunde Dahunsi  |u Department of Mechatronics Engineering, Federal University of Technology , Akure , Ondo State , Nigeria 
700 1 |a Olayinka Oladele Awopetu  |u Department of Industrial and Production Engineering, Federal University of Technology , Akure , Ondo State , Nigeria 
700 1 |a Ilesanmi Afolabi Daniyan  |u Department of Mechanical and Mechatronics Engineering, Achievers University , Owo , Nigeria 
773 0 |t Cogent Engineering  |g vol. 12, no. 1 (Dec 2025) 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3282096975/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3282096975/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch