An integrated framework based on intuitionistic fuzzy FMEA, COPRAS and TOPSIS for risk assessment in process industry

Dinesh Kumar Kushwaha, Dilbagh Panchal and Anish Sachdeva

International Journal of Industrial and Systems Engineering, 2023, vol. 45, issue 2, 214-243

Abstract: In this work, a novel intuitionistic fuzzy (IF) modelling-based failure mode and effect analysis (IF-FMEA) has been proposed for studying and analysing failure risk of sugarcane milling unit (SMU). The proposed novel IF-FMEA approach overcomes various disadvantages associated with already available FMEA approaches. IF hybrid weighted euclidean distance (IFHWED) score has been computed to rank all listed failure causes under three risk factors O, S and D. Failure causes namely unloader (UL2), main cane carrier (MC7), cane chopper and leveller (CC10), fibrizer (FB18), rake elevator (RE20), mill (MH22), juice pump and water spray system (JP32) with their corresponding IFHWED scores 1.1646, 1.0243, 0.7896, 1.0378, 1.0573, 1.0668 and 1.1060 were identified as the most critical failure causes resulting in sudden failure in plant operation. The performance of proposed novel IF-FMEA is evaluated by implementing IF-based COPRAS and TOPSIS. Sensitivity analysis has also been conducted to check stability of ranking results.

Keywords: IF-FMEA; IFWA operator; risk assessment; COPRAS; TOPSIS; sugar mill industry. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=134376 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:45:y:2023:i:2:p:214-243

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().