Z-number integrated weighted VIKOR technique for hazard prioritization and its application in virtual prototype based EOT crane operations

Das, Souvik; Dhalmahapatra, Krantiraditya; Maiti, J.

doi:10.1016/j.asoc.2020.106419

Cited by 54 publications

(35 citation statements)

References 45 publications

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“…Gul et al (2019) presented the application of VIKOR approach doe studying and analyzing the safety risk in mine industry. Bakioglu and Atahan (2020) developed VIKOR approach based framework for evaluating the risk associating with self-driving vehicle Das et al (2020) applied TOPSIS approach within PFMEA approach for prioritizing the failure events of material transfer crane in steel plant. Zolfani et al (2020) proposed logarithmic normalized concept based VIKOR approach for solving the decision problem and compared the ranking results with traditional VIKOR approach for evaluating the effectivity of the proposed novel VIKOR approach.…”

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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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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“…Generally, the studies on Z-number can be classified into three major groups: (i) fundamental theories of Z-number, [8][9][10][11] (ii) computing with words (CWWs), [12][13][14] and (iii) transformation of the Z-number into a classical fuzzy number. [15][16][17][18][19][20] After review, it is noted that most of these studies failed to prevent the loss of original information during decision-making.…”

Section: Z-number and Hesitant Fuzzy Sets (Hfss)mentioning

confidence: 99%

“…Despite wide acceptance, several shortcomings of the traditional FMEA are reported in the literature. 18,44,45 The most critical ones are restated as follows: (1) it is hard for the experts to provide a precise and exact rating on the risk of FMs to the three risk parameters. Moreover, experts are accustomed to natural language (linguistic terms) to represent their evaluations on the risk of FMs, (2) the relative weights of the risk parameters are not taken into account in the RPN analysis, and (3) the mathematical formula for RPN is unreasonable and highly sensitive to the variations in the assessment of the risk parameters.…”

Section: Failure Mode and Effect Analysismentioning

confidence: 99%

Dual hesitant Z‐ number (DHZN), correlated distance, and risk quantification

et al. 2021

Self Cite

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Information reliability and uncertainty are two important characteristics that need to be taken care of in any kind of decision-making process. The hesitancy of the human mind is one of the major factors that introduce uncertainty in decision-making. To include the reliability and to resolve the issue of hesitancy in a single framework, in this study, two novel concepts, namely, dual hesitant Z-number (DHZN) and correlated distance measure between two DHZNs (CD-DHZN) are proposed. DHZN = (A h , B h ), is a judicious integration of hesitant fuzzy sets and Z-number. Here, A h is the expert's opinion and B h is the reliability of the expert's opinion. Further, the randomness of the information brings uncertainty to the decision-making process. To circumvent this issue, DHZN is quantified with Cloud model theory and fuzzy envelope. To enhance the information utilization and to reduce the information loss problem while quantifying CD-DHZN, the correlation and the underlying hidden probabilistic relationship between the two parts of a DHZN are captured using the Pearson correlation coefficient, the maximum entropy principle, and Hellinger distance. Then, the extended failure mode and effect analysis (E-FMEA) is proposed with the help of DHZN, CD-DHZN, and VlseKriterijuska Optimizacija IKomoromisno Resenje technique for prioritization of risks. Similarly, extended bow-tie (E-BT) is also proposed for the quantification of basic events (BEs), top event, and accident scenarios. Two case studies with systematic experimental investigations are presented and results are compared with other existing techniques. The results show that the proposed models are able to effectively prioritize the failure modes in E-FMEA and quantify the BEs in E-BT. The results confirm the feasibility and applicability of the proposed models. Sensitivity analysis is also performed to ensure the plausibility and robustness of the proposed model.

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“…In general, the risk prioritization of occupational hazards in OHS risk assessment can be considered as a complex multicriteria decision‐making (MCDM) problem because it involves multiple risk criteria. Correspondingly, lots of MCDM methods have been utilized to rank the risk of occupational hazards in the literature 2,6,9,17 . As an efficient and pragmatic MCDM method, the TODIM (an acronym in Portuguese of interactive multicriteria decision‐making) was initially introduced by Gomes and Lima 18 for choosing suitable alternatives based on different criteria.…”

Section: Introductionmentioning

confidence: 99%

Occupational health and safety risk assessment using an integrated TODIM‐PROMETHEE model under linguistic spherical fuzzy environment

Liu

Zhu

Chen

et al. 2021

Int J of Intelligent Sys

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Occupational health and safety (OHS) is a multidisciplinary activity aimed at recognizing, evaluating and controlling hazards arising in or from the workplace that could impair the health and well‐being of workers. In dealing with an OHS risk analysis problem, it is a crucial step and also a big challenge to assess the risk of occupational hazards. Normally, domain experts tend to use qualitative words to express the risk of occupational hazards due to the fuzziness of human cognition, and multiple risk criteria are often involved in the OHS risk analysis. In this study, we develop a new OHS risk assessment framework by integrating the TODIM (an acronym in Portuguese for interactive and multicriteria decision‐making) and preference ranking organization method for enrichment evaluations (PROMETHEE) methods to assess and rank the risk of occupational hazards under linguistic spherical fuzzy environment. The linguistic spherical fuzzy sets are utilized to deal with the vague and uncertain risk assessments of occupational hazards provided by experts. An integrated TODIM‐PROMETHEE algorithm is introduced to determine the risk priority of the identified occupational hazards. Moreover, we extend the indifference threshold‐based attribute ratio analysis method to derive the relative weights of risk criteria based on linguistic spherical fuzzy information. Finally, the OHS risk analysis of medical staff in a hospital is presented to illustrate the effectiveness and availability of our proposed model. Results show that the TODIM‐PROMETHEE framework being developed in this study provides a useful, effective, and practical way for the risk assessment of occupational hazards in OHS.

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Z-number integrated weighted VIKOR technique for hazard prioritization and its application in virtual prototype based EOT crane operations

Cited by 54 publications

References 45 publications

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

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

Dual hesitant Z‐ number (DHZN), correlated distance, and risk quantification

Occupational health and safety risk assessment using an integrated TODIM‐PROMETHEE model under linguistic spherical fuzzy environment

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