An Efficient Hybrid MCDM Based Approach for Car Selection in Automobile Industry

Roy, Sharmistha; Mohanty, Suneeta; Mohanty, Satarupa

doi:10.1109/rice.2018.8509065

Cited by 10 publications

(5 citation statements)

References 8 publications

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“…In this study, decision makers found the best among five automobile models available in the market uttering the AHP approach integrated with gray relationship analysis. Roy et al, (2018) created a hybrid model by uttering Fuzzy AHP and Promethee II methods from MCDM methods. They have built a hybrid model to enable these customers to choose the best automobile when purchasing an automobile.…”

Section: Literaturementioning

confidence: 99%

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Consumers White Automobile Purchase Behavior: Turkey Automobile Market Application With Swara Method

Çizmecioğlu

Cura

2022

Erciyes Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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The automobile industry is one of the leading commercial markets around the world. In this enormous market, countries, companies, and manufacturers compete boldly to increase their international market shares. In this great competition, there are centuries old giant companies such as Mercedes, BMW, Volkswagen, Opel, as well as new automobile brands such as Tesla, Renovo, Tritonev. Turkey is one of the significant markets where these brands are competing fiercely. When this market is analyzed, one preference of Turkish consumers draws much attention. This is the color preferences of automobile purchasers. Considering the sales figures of the previous years, white automobile sales are above 50% rate regardless of brand and model. The objective of this study investigated why Turkish automobile consumers prefer white automobile color. In this study, the SWARA method, one of the MCDM method is used to analyze consumers white automobile preferences. The findings of the study show that aesthetic perceptions are significant in purchasing white automobiles. The results of the study allow us to draw implications for the white automobile purchasing behavior for the global automobile market in the concept of international marketing.

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Section: Literaturementioning

confidence: 99%

“…Then, criteria suggestions are received from brand experts. The criteria recommendations of the brand experts have been supported by a literature search (Roy et al, 2018). Final criteria are established with the suggestions from 5 decision makers.…”

Section: Ranking Of Criteriamentioning

confidence: 99%

Consumers White Automobile Purchase Behavior: Turkey Automobile Market Application With Swara Method

Çizmecioğlu

Cura

2022

Erciyes Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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“…Kumar et al [63] integrated AHP with TOPSIS to determine the cloud service by the most suitable candidate. Roy et al [64] and Yang et al [65] proposed an efficient FAHP-PROMETHEE II and DEMATEL-based ANP-VIKOR hybrid model to select the best car model and to improve the cloud service application. Zarbakhshnia et al [66] developed a third-party reverse logistics provider selection and evaluation MADM model with risk factors, where fuzzy-SWARA is used to weight the evaluation criteria and fuzzy-COPRAS is used to rank and select the best logistics providers.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

et al. 2021

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Traditional Multi-Criteria Decision Making (MCDM) methods have now become outdated; therefore, most researchers are focusing on more robust hybrid MCDM models that combine two or more MCDM techniques to address decision-making problems. The authors attempted to create two novel hybrid MCDM systems in this paper by integrating Additive Ratio ASsessment (ARAS) with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Complex PRoportional ASsessment (COPRAS). To demonstrate the ability and effectiveness of these two hybrid models i.e., TOPSIS-ARAS and COPRAS-ARAS were applied to solve a real-time robot selection problem with 12 alternative robots and five selection criteria, while evaluating the parametric importance using the CRiteria Importance Through Inter criteria Correlation (CRITIC) objective weighting estimation tool. The rankings of the robot alternatives gained from these two hybrid models were also compared to the obtained results from eight other solo MCDM tools. Although the rankings by the applied methods slightly differ from each other, the final outcomes from all of the adopted techniques are consistent enough to suggest that robot 12 is the best choice followed by robot 11, and robot 4 is the worst one among these 12 alternatives. Spearman Correlation Coefficient (SCC) also reveals that the proposed rankings derived from various methods have a strong ranking relationship with one another. Finally, sensitivity analysis was performed to investigate the effects of weight variation and to validate the robustness of the implemented MCDM approaches.

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“…The decision-makers focus on the cost or price criterion in any selection problem. In the related literature, some studies considered cost or price in their decision problem (Oztaysi et al, 2021;Mumani and Maghableh, 2021;Roy et al, 2018;Patil et al, 2017;de Sousa Junior et al, 2014). However, when a problem is evaluated within its own framework, the important criteria in other studies may lose their meaning.…”

Section: Table 5 Criteria and Their Explanationsmentioning

confidence: 99%

An Integrated PIPRECIA and COPRAS Method under Fuzzy Environment: A Case of Truck Tractor Selection

Özdağoğlu

Öztaş

Keleş

et al. 2021

Alphanumeric Journal

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Selecting the right truck tractor is critical for logistics companies involved in road freight transportation. Determining the criteria that are effective in the selection of truck tractors and then evaluating the alternatives are the main objectives of this study. In this context, a hybrid Multi-Criteria Decision-Making model composed of Fuzzy PIPRECIA (F-PIPRECIA) and Fuzzy COPRAS (F-COPRAS) methods is proposed to be used in the selection of truck tractors. In the related literature, no studies that applied F-PIPRECIA and F-COPRAS together to determine the best truck tractor have been published yet. In this regard, this study is thought to contribute to the literature in terms of the methods used and the application of truck tractor selection. Moreover, the findings of this study will pave the way for those who conduct academic studies and the authorities of companies involved in road transport in the logistics sector.

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An Efficient Hybrid MCDM Based Approach for Car Selection in Automobile Industry

Cited by 10 publications

References 8 publications

Consumers White Automobile Purchase Behavior: Turkey Automobile Market Application With Swara Method

Consumers White Automobile Purchase Behavior: Turkey Automobile Market Application With Swara Method

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

An Integrated PIPRECIA and COPRAS Method under Fuzzy Environment: A Case of Truck Tractor Selection

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