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In this paper, an Intuitionistic Fuzzy TOPSIS model which is based on a score function is proposed for detecting the root cause of failure in an Offshore Boat engine, using groups of expert’s opinions. The study which has provided an alternative approach for failure mode identification and analysis in machines, addresses the machine component interaction failures which is a limitation in existing methods. The results from the study show that although early detection of failures in engines is quite difficult to identify due to the dependency of their systems from each other. However, with the Intuitionistic Fuzzy TOPSIS model which is based on an improved score function such faults/failures are easily detected using expert’s based opinions.
Czasopismo
Rocznik
Tom
Strony
68--76
Opis fizyczny
Bibliogr. 38 poz., rys., tab.
Twórcy
autor
- Faculty of Manufacturing Engineering Universiti Malaysia Pahang 26600 Pekan, Malaysia
autor
- Faculty of Industrial Management Universiti Malaysia Pahang 26600 Pekan Malaysia
autor
- Faculty of Industrial Management Universiti Malaysia Pahang 26600 Pekan Malaysia
autor
- Faculty of Manufacturing Engineering Universiti Malaysia Pahang 26600 Pekan, Malaysia
Bibliografia
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- 33. M. D. Soufi, B. Ghobadian, G. Najafi, M. R. Sabzimaleki, and T. Yusaf, “TOPSIS multi-criteria decision modeling approach for biolubricant selection for two-stroke petrol engines,” Energies, vol. 8, no. 12, pp. 13960–13970, 2015.
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Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0b17fcac-c505-4b34-b47c-148ed686f2b2