A structured framework for performance optimization using JBLTO, FCOPRAS and FCODAS methodologies

Gopal, Nand; Panchal, Dilbagh

doi:10.1108/jqme-11-2021-0087

Cited by 6 publications

(5 citation statements)

References 48 publications

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“…, 2018); Electronic Service Quality (ESQ) of libraries (Mirghafoori et al. , 2020); Paper industry (Sharma and Sharma, 2010) and Dairy industry (Gopal and Panchal, 2022). In order to predict failure causes more accurately, IF concept is applied to overcome the limitations of traditional and fuzzy FMEA approaches.…”

Section: Solution Methodologiesmentioning

confidence: 99%

“…Bagasse-based CPG plant and Ayatollah, 2016); Laptop manufacturing company (Chen, 2017); Aircraft turbine system (Bian et al, 2018); Electronic Service Quality (ESQ) of libraries (Mirghafoori et al, 2020); Paper industry and Dairy industry (Gopal and Panchal, 2022). In order to predict failure causes more accurately, IF concept is applied to overcome the limitations of traditional and fuzzy FMEA approaches.…”

Section: Expressions For Reliability Parametersmentioning

confidence: 99%

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Performance evaluation of bagasse-based cogeneration power generation plant utilizing IFLT, IF-FMEA and IF-TOPSIS approaches

Kushwaha¹,

Panchal²,

Sachdeva³

2023

IJQRM

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PurposeTo meet energy demand and tackle the challenges posed by global warming, Bagasse-based Cogeneration Power Generation (BCPG) plant in sugar mills have tremendous potential due to large-scale supply of renewable fuel called bagasse. To meet this goal, an integrated framework has been proposed for analyzing performance issues of BCPG.Design/methodology/approachIntuitionistic Fuzzy Lambda-Tau (IFLT) approach was implemented to compute various reliability parameters. Intuitionistic Fuzzy Failure Mode and Effect Analysis (IF-FMEA) approach has been implemented for studying risk issues results in decrease in plant's availability. Moreover, IF- Technique for Order Performance by Similarity to Ideal Solution (IF-TOPSIS) is implemented to verify accuracy of IF-FMEA approach.FindingsFor membership and non-membership functions, availability decreases to 0.0006% and 0.0020% respectively for spread ±15% to ±30%, and further decreases to 0.0127% and 0.0221% for spread ±30% to ±45%. Under risk assessment failure causes namely Storage tank (ST3), Valve (VL6), Transfer pump (TF8), Deaerator tank (DT11), High pressure heater and economiser (HP15), Boiler drum and super heater (BS22), Forced draft and Secondary air fan (FS25), Air preheater (AH29) and Furnace (FR31) with Intuitionistic Fuzzy Hybrid Weighted Euclidean Distance (IFHWED) based output scores – 0.8988, 0.9752, 0.9400, 0.8988, 0.9267, 1.1131, 1.0039, 0.8185, 1.0604 were identified as the most critical failure causes.Research limitations/implicationsReliability and risk analysis results derived from IFLT and IF-FMEA approaches respectively, to address the performance issues of BCPG is based on the quantitative and qualitative data collected from the industrial experts and maintenance log book. Moreover, to take care of hesitation in expert's knowledge, IF theory-based concept is incorporated so as to achieve more accuracy in analysis results. Reliability and risk analysis results together will be helpful in analyzing the performance characteristics and diagnosis of critical failure causes, which will minimize frequent failure in BCPG.Practical implicationsThe framework will help plant managers to frame optimal maintenance policy in order to enhance the operational aspects of the considered unit. Moreover, the accurate and early detection of failure causes will also help managers to take prudent decision for smooth operation of plant.Social implicationsThe results obtained ensure continuous operation of plant by utilizing the bagasse as fuel in boiler and also mitigate the wastages of fuel. If this bagasse (green fuel) is not properly utilized, there remains a dependency on coal-based power plants to meet the power demand. The results obtained are useful for decreasing dependency on coal, and promoting bagasse as the green, and alternative fuel, the emission by burning of these fuels are not harmful for environment and thereby contribute in preventing the environment from harmful effect of GHGs gases.Originality/valueIFLT approach has been implemented to develop reliability modeling equations of the BCPG unit, and furthermore to compute various reliability parameters for both membership and non-membership function. The ranking results of IF-FMEA are compared to IF-TOPSIS approach. Sensitivity analysis is done to check stability of proposed framework.

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Section: Solution Methodologiesmentioning

confidence: 99%

Section: Expressions For Reliability Parametersmentioning

confidence: 99%

Performance evaluation of bagasse-based cogeneration power generation plant utilizing IFLT, IF-FMEA and IF-TOPSIS approaches

Kushwaha¹,

Panchal²,

Sachdeva³

2023

IJQRM

Self Cite

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“…Resende et al (2023) implemented FMEA approach in the aeronautical sector for conducting risk analysis. Gopal and Panchal (2023) conducted risk analysis in dairy industry by implementing fuzzy FMEA approach.…”

Section: Literature Backgroundmentioning

confidence: 99%

Performance analysis of a complex process industrial unit utilizing intuitionistic fuzzy-based integrated framework

Kushwaha,

Panchal,

Sachdeva

2024

JQME

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PurposeAn integrated intuitionistic fuzzy (IF) modelling-based framework for examining the performance analysis of a packaging unit (PU) in three different stages has been proposed.Design/methodology/approachFor the series and parallel configuration of PU, a mathematical model based on the intuitionistic fuzzy Lambda–Tau (IFLT) approach was developed in order to calculate various reliability parameters at various spreads. For determining membership and non-membership function-based reliability parameters for the top event, AND/OR gate transitions expression was employed.FindingsFor 15%–30% spread, unit’s availability for the membership function falls by 0.006442%, and it falls even more by 0.014907% with an increase in spread from 30% to 45%. In contrast, for 15%–30% spread, the availability of non-membership function-based systems reduces by 0.007491% and further diminishes. Risk analysis has presented applying an emerging approach called intuitionistic fuzzy failure mode and effect analysis (IFFMEA). For each of the stated failure causes, the output values of the intuitionistic fuzzy hybrid weighted Euclidean distance (IFHWED)-based IFFMEA have been tabulated. Failure causes like HP1, MT6, FB9, EL16, DR23, GR27, categorized under subsystems, namely hopper, motor, fluidized bed dryer, distributor, grader and bin, respectively, with corresponding IFFMEA output scores 1.0975, 1.0190, 0.8543, 1.0228, 0.9026, 1.0021, were the most critical one to contribute in the system’s failure.Research limitations/implicationsThe limitation of the proposed framework lies in the fact that the results obtained for both reliability and risk aspects mainly depend on the correctness of raw data provided by the experts. Also, an approximate model of PU is obtained from plant experts to carry performance analysis, and hence more attention is required in constructing the model. Under IFLT, reliability parameters of PU have been calculated at various spreads to study and analyse the failure behaviour of the unit for both membership and non-membership function in the IFS of [0.6,0.8]. For both membership- and non-membership-based results, availability of the considered system shows decreasing trend. To improve the performance of the considered system, risk assessment was carried using IFFMEA technique, ranking all the critical failure causes against IFHWED score value, on which more attention should be paid so as to avoid sudden failure of unit.Social implicationsThe livelihood of millions of farmers and workers depends on sugar industries. So perpetual running of these industries is very important from this viewpoint. On the basis of findings of reliability parameters, the maintenance manager could frame a correct maintenance policy for long-run availability of the sugar mills. This long-run availability will generate revenue, which, in turn, will ensure the livelihood of the farmers.Originality/valueMathematical modelling of the considered unit has been done applying basic expressions of AND/OR gate. IFTOPSIS approach has been implemented for ranking result comparison obtained under IFFMEA approach. Eventually, sensitivity analysis was also presented to demonstrate the stability of ranking of failure causes of PU.

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“…Milk needs to be processed and sent to the market timely in order to turn a profit. Since milk is a perishable good, if it is not pasteurized right away, it turns sour, requiring more effort to turn into cheese-like goods, and the day's milk goal won't be accomplished (Gopal & Panchal, 2022). This would mess up the milk product supply chain, which would not only reduce overall plant profitability but also cause major brand image issues.…”

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confidence: 99%

Reliability based framework for failure analysis in milk process industry

Gopal

Panchal

2023

Decis. Mak. Appl. Manag. Eng.

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The suggested hybridized framework offers a paradigm for performance optimization-reliability-based analysis of milk processing unit’s (MPU) failure behavior in the dairy industry. The proposed hybridized framework led to the development of fuzzy Jaya Based Lambda-Tau (JBLT) technique-based mathematical model for computing various performance parameters of the under-consideration unit. The availability of the system drops by 0.044% as the level of uncertainty or spread level increases from ± 15% to ± 25% and drops to 0.088% as the level of uncertainty increases from ± 25% to ± 60%. To corroborate the system’s availability downward trend, the results of JBLT approach were compared with Particle Swarm Optimization-Based Lambda-Tau (PSOBLT) and conventional Fuzzy Lambda-Tau (FLT) techniques. The analysis findings were given to the maintenance manager so they could create the best maintenance schedule for the considered plant.

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A structured framework for performance optimization using JBLTO, FCOPRAS and FCODAS methodologies

Cited by 6 publications

References 48 publications

Performance evaluation of bagasse-based cogeneration power generation plant utilizing IFLT, IF-FMEA and IF-TOPSIS approaches

Performance evaluation of bagasse-based cogeneration power generation plant utilizing IFLT, IF-FMEA and IF-TOPSIS approaches

Performance analysis of a complex process industrial unit utilizing intuitionistic fuzzy-based integrated framework

Reliability based framework for failure analysis in milk process industry

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