Qualitative analysis of CNG dispensing system using fuzzy FMEA–GRA integrated approach

Panchal, Dilbagh; Srivastava, Priyank

doi:10.1007/s13198-018-0750-9

Cited by 28 publications

(9 citation statements)

References 28 publications

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“…Panchal and Kumar 14 studied the performance issues of coal handling unit of a thermal power industry under fuzzy environment. Panchal and Srivastava 15 presented the application of IF–THEN rule‐based fuzzy failure mode and effect analysis (FFMEA) approach application for carrying the risk analysis of the compressed natural gas (CNG) system. Melani et al 16 established a new framework based on hazard and operability study (HAZOP), fault tree analysis (FTA), and failure mode, effect and criticality analysis (FMECA) for optimizing the availability of the flue gas desulfurization (FGD) system of a coal‐fired thermal power plant.…”

Section: Literature Backgroundmentioning

confidence: 99%

A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry

Panchal

Chatterjee

Pamučar

et al. 2021

Int J of Intelligent Sys

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This study proposes a novel structured framework for analyzing sustainable operational performance‐related issues of ash handling unit (AHU) under vague/uncertain information and its impact on ecofriendly production. The structured framework is developed using an integrated fuzzy lambda–tau and fuzzy multicriteria decision‐making methods. Reliability parameters are formulated for assessing the failure behavior of AHU using the fuzzy lambda–tau approach. Repair time parameter for the AHU system shows an increasing trend with a 0.6840% increase as the spread increases from ±15% to ±25% and 0.5981% when spread increases from ±25% to ±60%. Furthermore, the availability of the system decreases by 0.0335% with increase in spread from ±15% to ±25% and further decreases to 0.0315% with spread increases from ±25% to ±60%. Under risk analysis, possible failure causes with their fuzzy rating are listed under the failure mode and effect analysis (FMEA) approach. Evaluation based on distance from average solution (EDAS) and combinative distance‐based assessment (CODAS) methods are further applied within the FMEA approach for identifying the most critical failure causes. Improper design (BT2), excessive gas volume (FH3), chocking/blockage (WA1), and scanty lubrication/greasing (SP1) associated with bottom ash handling, the fly ash handling system, wetting unit and ash disposal pipeline, and slurry pump with EDAS outputs (0.1464, 0.1090, 0.0918, 0.000) and CODAS outputs (3.3962, 3.5208, 2.6562, 2.0877) are found responsible for sudden failure of the considered unit. Sensitivity analysis has been done for evaluating the robustness of the proposed framework.

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Section: Literature Backgroundmentioning

confidence: 99%

A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry

Panchal

Chatterjee

Pamučar

et al. 2021

Int J of Intelligent Sys

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“…Previous literature review has shown that TOPSIS 30,31 and GRA 32 are two of the most widely used methods in hybridization 33 . These methods are used to obtain a new priority index and the weights to assign to each criterion.…”

Section: Literature Reviewmentioning

confidence: 99%

A new hybrid MCDM approach for RPN evaluation for a medical device prototype

Pintelon

Nardo

Murino

et al. 2021

Quality & Reliability Eng

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The Failure Mode and Effect Analysis (FMEA) is a useful instrument born in the aerospace industry and widely used to improve a process or product's efficiency. Over the years, this instrument has been adopted in increasingly different contexts, such as HealthCare. This paper proposes an approach aimed at improving the defects typical of the classic FMEA in the design phase, that is, in a scenario full of uncertainties and with little information available, using a new hybrid Multiple‐criteria decision‐making (MCDM) method in order to obtain a priority index more performant than Risk Priority Number (RPN). In the proposed method, the three assessment criteria have a different weighting in the index's final computation, differently from the classical RPN. These weights are obtained with a scientific technique, thus avoiding that excessive subjectivity influences the final result. A more efficient priority index is obtained through a new hybrid approach that solves some classical RPN gaps. A case study concerning an endoscope Ear Nose Throat Entropy (ENT) prototype is examined to illustrate the proposed method. FMEA analysis in HealthCare is increasingly used for its flexibility and reliability. This study focuses on using new techniques to eliminate certain defects or exploit some qualities better. The use of a robust and elastic innovative MCDM method to calculate a new priority index and a scientific technique to obtain the weight of the selection are the interesting insights proposed in this paper.

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“…Although, the application of PFMEA approach is simple and the time required for making decision is less in comparison to any other approach but for accuracy concern it is essential to overcome these limitations. To overcome these limitations various authors proposed improved PFMEA (Panchal and Kumar, 2017a, b; Wang et al , 2018; Panchal and Srivastava, 2019; Panchal et al , 2019) approach. The proposed improved PFMEA approach also has some limitations like similar IF-THEN rules in case of FIS based model.…”

Section: Literature Surveymentioning

confidence: 99%

A novel PFMEA-Doubly TOPSIS approach-based decision support system for risk analysis in milk process industry

Das

Panchal

Tyagi

2021

IJQRM

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PurposeThis paper aims to presents a novel integrated fuzzy decision support system for analyzing the issues related to failure of a milk process plant unit.Design/methodology/approachProcess failure mode effect analysis (PFMEA) approach was implemented to list failure causes under each subsystem/component and fuzzy ratings for three risk criteria, i.e. probability of failure occurrence (O_f), severity (S) and non-detection (O_d) are collected against the listed failure causes through experts feedback. A new doubly technique for order of preference by similarity to ideal solution (DTOPSIS) approach was implemented within fuzzy PFMEA tool for ranking of listed failure causes. The proposed decision support system overcomes the restrictions of classical PFMEA and IF-THEN rule base PFMEA approaches in an effective way.FindingsFailure causes such as electrical winding failure (RM4), high pressure in plate region (C1), communication problem in supervisory control and data acquisition control (MS3), insulation problem (ST2), lever breakage (B2), gasket problem (D3), formation of holes (PHE5), cavitations (FP7), deposition of milk particle inside the pipeline because of improper cleaning (MHP2) were acknowledged as the most critical one with the application of proposed decision support system.Research limitations/implicationsThe analysis results are based on subjective judgments of the experts and therefore correctness of risk ranking results are totally dependent upon the quality of input data/information available from these experts. However, the analyst has taken proper care for considering the vagueness of the raw data by incorporating fuzzy set theory within the proposed decision support system.Practical implicationsThe proposed fuzzy decision support system has been presented with its application on milk pasteurization plant of a milk process industry. The analysis based ranking results have been supplied to maintenance manager of the plant and a consent was shown by him with these results. Once the top management of the plant took decision for the implementation of these results, the detailed robustness of the proposed decision support system could be evaluated further.Social implicationsThe analysis result would be highly useful for minimizing sudden breakdowns and operational cost of the plant which directly contributes to plant's profitability. With the decrease in the chances of sudden breakdowns there would be high safety for the people working on/off the plant's site. Further, with increase in availability of the considered plant the societal daily demand related to dairy products could be easily fulfilled at reasonable prices.Originality/valueThe performance and proficiency of the proposed decision support system has been evaluated by comparing the ranking results with classical TOPSIS and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) approaches based results.

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Qualitative analysis of CNG dispensing system using fuzzy FMEA–GRA integrated approach

Cited by 28 publications

References 28 publications

A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry

A novel fuzzy‐based structured framework for sustainable operation and environmental friendly production in coal‐fired power industry

A new hybrid MCDM approach for RPN evaluation for a medical device prototype

A novel PFMEA-Doubly TOPSIS approach-based decision support system for risk analysis in milk process industry

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