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

Authors: Dinesh Kumar Kushwaha; Dilbagh Panchal; Anish Sachdeva

Addresses: Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab – 144011, India ' Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab – 144011, India ' Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab – 144011, India

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.

DOI: 10.1504/IJISE.2023.134376

International Journal of Industrial and Systems Engineering, 2023 Vol.45 No.2, pp.214 - 243

Received: 01 Sep 2021
Accepted: 18 Dec 2021
Published online: 19 Oct 2023 *

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