An Application of Multicriteria Optimization to the Two-Carrier Two-Speed Planetary Gear Trains

Stefanović-Marinović, Jelena; Troha, Sanjin; Milovančević, Miloš

doi:10.22190/fume160307002s

Cited by 25 publications

(21 citation statements)

References 3 publications

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“…The combination of AHP and ARAS methods is also used for the assessment of project managers in construction [61], while for determination of the importance of the criteria, AHP method is used [74]. Besides, MCDM methods are constantly applied in other fields [75][76][77].…”

Section: Criteria Referencesmentioning

confidence: 99%

Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

et al. 2017

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Supply chain presents a very complex field involving a large number of participants. The aim of the complete supply chain is finding an optimum from the aspect of all participants, which is a rather complex task. In order to ensure optimum satisfaction for all participants, it is necessary that the beginning phase consists of correct evaluations and supplier selection. In this study, the supplier selection was performed in the construction company, on the basis of a new approach in the field of multi-criteria model. Weight coefficients were obtained by DEMATEL (Decision Making Trial and Evaluation Laboratory) method, based on the rough numbers. Evaluation and the supplier selection were made on the basis of a new Rough EDAS (Evaluation based on Distance from Average Solution) method, which presents one of the latest methods in this field. In order to determine the stability of the model and the applicability of the proposed Rough EDAS method, an extension of the COPRAS and MULTIMOORA method by rough numbers was also performed in this study, and the findings of the comparative analysis were presented. Besides the new approaches based on the extension by rough numbers, the results are also compared with the Rough MABAC (MultiAttributive Border Approximation area Comparison) and Rough MAIRCA (MultiAttributive Ideal-Real Comparative Analysis). In addition, in the sensitivity analysis, 18 different scenarios were formed, the ones in which criteria change their original values. At the end of the sensitivity analysis, SCC (Spearman Correlation Coefficient) of the obtained ranges was carried out, confirming the applicability of the proposed approaches.

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Section: Criteria Referencesmentioning

confidence: 99%

Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

et al. 2017

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“…Determining the significance of criteria is one of the most important stages in the decision-making process [49][50][51]. Practically doesn't exist the problem of multi-criteria decision-making in which criteria have the equal importance.…”

Section: Proposed Methodologymentioning

confidence: 99%

The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator

et al. 2018

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An adequately functionally located traffic infrastructure is an important factor in the mobility of people because it affects the quality of traffic, safety and efficiency of carrying out transportation activities. Locating a roundabout on an urban network is an imperative for road engineering to address traffic problems such as reduction of traffic congestion, enhancement of security and sustainability, etc. Therefore, this paper evaluates potential locations for roundabout construction using Rough BWM (Best Worst Method) and Rough WASPAS (Weighted Aggregated Sum Product Assessment) models. Determination of relative criterion weights on the basis of which the potential locations were evaluated was carried out using the Rough BWM method. In this paper, in order to enable the most precise consensus for group decision-making, a Rough Hamy aggregator has been developed. The main advantage of the Hamy mean (HM) operator is that it can capture the interrelationships among multi-input arguments and can provide DMs more options. Until now, there is no research based on HM operator for aggregating imprecise and uncertain information. The obtained indicators are described through eight alternatives. The results show that the fifth and sixth alternatives are the locations that should have a priority in the construction of roundabouts from the perspective of sustainable development, which is confirmed throughout changes of parameter k and with comparing to other methods in the sensitivity analysis.

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“…SCC values form Figure 21 indicate that there is high correlation among ranks obtained in compared methods of multicriteria decision-making. Based on the reccommendations by Stefanović-Marinović et al (2017) all values of SCC higher than 0.8 indicate extremely high correlation. Since in our case all values of SCC are considerably higher than 0.980, and the mean value is 0.99, we can conclude that there is strong correlation between the initial DEA ranking (Table 6) and ranking obtained through the scenarios.…”

Section: Sensitivity Analysis Of Dea Modelmentioning

confidence: 99%

“…Beside its application in the field of finances (Steuer, Na 2003) the AHP method is used in the fields such as: education, engineering, industry, management, production, politics and sport (Vaidya, Kumar 2006), as well as in vehicle selection problem solving (Aghdaie, Yousefi 2011;Byun 2001;Apak et al 2012;Stefanović-Marinović et al 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Analytical Hierarchy Process Method and Data Envelopment Analysis Application in Terrain Vehicle Selection

et al. 2019

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Selection of a terrain vehicle for performing different tasks is an important factor, which influences the mobility of a user through the quality of conducting transport activities. This paper is dealing with the problem of the terrain vehicle selection for the equipping of military units which, are to be engaged in multinational operations, using the Analytical Hierarchy Process (AHP) method and Data Envelopment Analysis (DEA). Determination of the relative importance of criteria, which are used for evaluation of potential alternatives is conducted through AHP method. The results proposed by the AHP method are used as multiple outputs of the defined DEA model for the selection of the terrain vehicle. Based on the DEA model the efficiencies of alternatives are defined and also the final ranking of alternatives is determined. Besides the hybrid model AHP-DEA, which is the integral part of a basic multicriteria model in this paper the possible applications of Best Worst Method (BWM) and FUll COnsistency Model (FUCOM) are presented through validation of models. The validation is conducted through statistical data obtained by application of different multicriteria techniques, using Spearman’s Correlation Coefficient (SCC).

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An Application of Multicriteria Optimization to the Two-Carrier Two-Speed Planetary Gear Trains

Cited by 25 publications

References 3 publications

Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator

Analytical Hierarchy Process Method and Data Envelopment Analysis Application in Terrain Vehicle Selection

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