Optimization of EDM Process Parameters Using Standard Deviation and Multi-objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA)

Anitha, J.; Das, Raja

doi:10.1007/978-981-15-1616-0_63

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…Based on experimental results, they applied the full multiplicative form of MOORA (MULTIMOORA) and multi-objective optimization based on simple-ratio analysis (MOOSRA) to determine the best scenario of parameters in the considered process. In this field, Anitha and Das [37] also made a similar study and utilized the MOOSRA and Standard Deviation methods.…”

Section: Recent Studies On Objective Weighting Methodsmentioning

confidence: 99%

Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)

et al. 2021

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The weights of criteria in multi-criteria decision-making (MCDM) problems are essential elements that can significantly affect the results. Accordingly, researchers developed and presented several methods to determine criteria weights. Weighting methods could be objective, subjective, and integrated. This study introduces a new method, called MEREC (MEthod based on the Removal Effects of Criteria), to determine criteria’ objective weights. This method uses a novel idea for weighting criteria. After systematically introducing the method, we present some computational analyses to confirm the efficiency of the MEREC. Firstly, an illustrative example demonstrates the procedure of the MEREC for calculation of the weights of criteria. Secondly, a comparative analysis is presented through an example for validation of the introduced method’s results. Additionally, we perform a simulation-based analysis to verify the reliability of MEREC and the stability of its results. The data of the MCDM problems generated for making this analysis follow a prevalent symmetric distribution (normal distribution). We compare the results of the MEREC with some other objective weighting methods in this analysis, and the analysis of means (ANOM) for variances shows the stability of its results. The conducted analyses demonstrate that the MEREC is efficient to determine objective weights of criteria.

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Section: Recent Studies On Objective Weighting Methodsmentioning

confidence: 99%

Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)

et al. 2021

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“…In this phase, criteria weights were derived using different weighing methods (Entropy (Alao et al 2020), Standard deviation (Anitha et al 2020), AHP (Ho 2008), CRITIC (Peng et al 202) and MEREC (Keshavarz-Ghorabaee et al 2021). Then these weights are combined with fuzzy-MARCOS to determine the preference rating of the alternatives to compare the obtained results of the proposed BWM integrated fuzzy-MADM method.…”

Section: Effect Of Criteria Weights Derived By Different Weighting Methodsmentioning

confidence: 99%

Application of integrated BWM Fuzzy-MARCOS approach for coating material selection in tooling industries

Kumar

Maity

Patnaik

2021

Preprint

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The life of metal forming dies, and the efficiency of tooling industries depends on the mechanical and wear properties of tool steel. These properties can be further improved by depositing the ceramic coating on heat-treated tool steel. There are many coating materials available with numerous excellent properties. But problem is how to select the best coating material. Compared to various studies related to material selection problems in the contrasting area of utilization, remarkably, few research work is done in tooling industries. In the present work, we have identified eight coating materials (alternatives) and nine evaluation criteria under the consultation of an expert in the tooling application and tribological field. To deal with this coating material selection problem, an integrated fuzzy-MADM method is proposed comprising BWM and fuzzy-MARCOS. This integrated fuzzy-MADM method is used to evaluate the alternative, and the obtained results are scrutinized under extensive use of sensitivity analysis. In the first phase of analysis, seven scenarios of criteria weight change are used, which is derived by the BWM method; dynamic matrices are used in the second phase of analysis. In the third and fourth phases, obtained ranks are compared with those obtained by different weight calculation methods and ranking methods, respectively. All the phases have similar results, i.e., AlCrN/TiAlN coating (alternative Cm5) is the best coating material. What is more, the proposed method has been used to solve the published results of coating material selection. To evaluate its reliability and robustness, a four phases comparative sensitivity analysis was performed.

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“…While, calculating the performance values of each alternative under the MOOSRA method, the normalized performance values of the useful and non-useful criteria are obtained by the simple ratio method (Baležentienė et al, 2013). The MOOSRA method has been used in several areas such as machine selection (Sarkar et al, 2015), project critical path selection (Dorfeshan et al, 2018), waste disposal assessment (Narayanamoorthy, 2020), laptop selection (Adalı & Işık, 2017), assessment of the quality of life (Ömürbek et al 2017) and optimization of EDM process parameters (Anitha & Das, 2020). The steps of the MOOSRA method are as follows (Jagadish & Ray, 2014):…”

Section: Moosra (Multi-objective Optimization By Simple Ratio Analysis)mentioning

confidence: 99%

Evaluation of innovative management success criteria in hotel establishments: Case study in Giresun-Turkey

Demirdağ

Korucuk

Karamaşa

2021

Decis. Mak. Appl. Manag. Eng.

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The purpose of this study was to determine the success criteria for innovative management in hotel establishments that have a corporate identity in the Turkish city of Giresun as well as to find out the best hotel by ranking them based on the determined criteria. For the study, “Multi-objective Optimization by Simple Ratio Analysis (MOOSRA)” and “Evaluation Based on Distance from Average Solution (EDAS)” methods were used. The results revealed that the success criteria for innovative management are beneficial in increasing operational efficiency, performance, and customer satisfaction. The results also show that managers are well aware of the success criteria for innovative management that should be prioritized, as well as those that are likely to lead to the success of their establishments and keep them ahead of the competition. While “Presenting an Innovative Vision” was found as the most important success criteria, “Use of In-Hotel Information Sources” came out as the least important one. The hotels considered were then ranked following the identified criteria.

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Optimization of EDM Process Parameters Using Standard Deviation and Multi-objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA)

Cited by 4 publications

References 4 publications

Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)

Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC)

Application of integrated BWM Fuzzy-MARCOS approach for coating material selection in tooling industries

Evaluation of innovative management success criteria in hotel establishments: Case study in Giresun-Turkey

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