Development of a New Hybrid Multi Criteria Decision-Making Method for a Car Selection Scenario

Ali, Yousaf; Mehmood, Bilal; Huzaifa, Muhammad; Yasir, Umair; Khan, Amin Ullah

doi:10.22190/fume200305031a

Cited by 23 publications

(16 citation statements)

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“…The program was developed to identify the variants of two-carrier PGTs and their parameters that fulfil the kinematic requirements before listing them in order of priority according to the selection criteria [27], [28], such as maximum efficiency, minimum weight, or size constraints. The program is capable of tabulating solutions for two-speed and single-speed gearboxes, depending on whether the actual gearbox will have a fixed transmission ratio, or a transmission ratio change mechanism [29].…”

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confidence: 99%

Size and efficiency based comparison of kinematically equivalent two-carrier planetary gear trains

et al. 2022

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The subject of this paper is a two-carrier planetary gear train (PGT) which was developed for a specific purpose. This PGT may be used for applications in which a negative transmission ratio in the range -3…-143 is required. In this case, the mechanical and dimensional properties of the PGT have been analyzed for nominal negative transmission ratios of -30 and -40. All possible combinations of simple component PGT ideal torque ratios providing those transmission ratios were obtained. Only the combinations providing the minimum radial dimensions of the PGT assembly were selected. Subsequent analysis has shown that the PGT radial dimensions will be minimized when the ratio of the reference diameters of the planetary unit ring gears is close to unity, meaning that the PGT casing will be cylindrical rather than stepped. This paper also provides an overview of the DVOBRZ software package used to synthesize the different gearbox layouts for the required transmission ratio, combined with a basic introduction to single speed two-carrier PGTs for better understanding. The DVOBRZ software was used to select all the acceptable gearboxes were selected from the set of generated PGTs according to the criteria of minimum dimensions and acceptable efficiency range. This set of PGTs was checked for kinematic feasibility and construction concepts were created for feasible layouts.

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confidence: 99%

Size and efficiency based comparison of kinematically equivalent two-carrier planetary gear trains

et al. 2022

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“…Jena and Pradhan (2020) applied TOPSIS approach based risk model for evaluating risk associated with earthquake. Ali et al (2020) proposed TOPSIS approach based integrated decision making framework for car selection risk under various criteria like wheel style, fuel economy, price, comfort and performance, etc. Ramakrishnan and Chakraborty (2020) expounded the application of fuzzy TOPSIS approach for analyzing the risk involved in the selection of best green supplier for a manufacturing industry.…”

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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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“…Previous laser cutting optimization studies have considered the application of the preference selection index (PSI) method, the weighted aggregated sum product assessment (WASPAS) method, and the superiority and inferiority (SIR) method. Given the limited number of studies on this topic as well as the certain limitations of MCDM methods, which are reflected in the fact that each MCDM method has a different functionality that affects the decision-making process and the resulting final ranking of alternatives [43,44], this study promotes a novel methodology for the assessment and selection of laser cutting conditions in the presence of a number of conflicting criteria by the development and application of a robust decision-making rule (RDMR) [45]. The development of an RDMR, which is based on the integration of different MCDM method decision rules and Taguchi's signal-to-noise (S/N) ratios, is believed to be justified since different decision-making rules even for the same problem may yield a different ranking of alternatives.…”

Section: Introductionmentioning

confidence: 99%

Application of a Robust Decision-Making Rule for Comprehensive Assessment of Laser Cutting Conditions and Performance

et al. 2022

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Laser cutting parameters synergistically affect, although in different quantitative and qualitative manners, multiple process performances, such as the resulting cut quality characteristics, material removal rate, cutting time, and costs, and the determination of the most appropriate laser cutting conditions for a given application is of prime importance. Given the existence of multiple mutually opposite performances, assessment and laser cutting conditions and performance can be considered a multiple-criteria decision-making (MCDM) problem. In order to overcome the possible inconsistency of rankings determined by different MCDM methods while solving the same decision-making problem, the present study promotes a novel methodology for the assessment and selection of laser cutting conditions by developing a robust decision-making rule (RDMR) that combines different decision-making rules from six MCDM methods and Taguchi’s principles of robust design. In order to illustrate the application of the proposed methodology, CO2 laser cutting in a stainless-steel experiment, based on the use of the Box–Behnken design, was conducted. On the basis of the experimental results, a comprehensive laser cutting MCDM model was developed with seven criteria related to cut quality (i.e., kerf geometry and cut surface), productivity, variable costs, and environmental aspects. It was observed that there was no laser cutting condition that could be considered as the best regime with respect to the different laser cutting process performances. Kendall’s and Spearman’s rank correlation coefficients indicated a certain level of disagreement among the resulting rankings of the laser cutting conditions produced by the considered MCDM methods, whereas the application of the proposed RDMR ensured the highest level of ranking consistency. Some possibilities for modeling of RDMR and its further use for the assessment of arbitrarily chosen laser cutting conditions and the use of the derived model to perform sensitivity analysis for determining the most influential laser cutting parameters are also discussed and addressed. It was observed that laser cutting parameters in different laser cutting conditions may have a variable effect on the resulting overall process performances. The comparison of the obtained results and the results determined by classical desirability-based multi-objective optimization revealed that there exists substantial agreement between the most preferable and least preferable laser cutting conditions, thus justifying the applied methodology.

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Development of a New Hybrid Multi Criteria Decision-Making Method for a Car Selection Scenario

Cited by 23 publications

References 29 publications

Size and efficiency based comparison of kinematically equivalent two-carrier planetary gear trains

Size and efficiency based comparison of kinematically equivalent two-carrier planetary gear trains

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

Application of a Robust Decision-Making Rule for Comprehensive Assessment of Laser Cutting Conditions and Performance

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