Research Article

Supply Chain Management (SCM) Breakdowns and SCM Strategy Selection during the COVID-19 Pandemic Using the Novel Rough MCDM Model

Table 1

Studies related to SWARA and MARCOS methods.

Author(s)MethodologyApplication

Valipour et al. [29]SWARA-COPRASIdentification and assessment of risks in deep excavation and foundation projects for big cities in Iran
Sremac et al. [30]Rough SWARA-WASPASEvaluation of 3PLs
Veskovic et al. [31]DELPHI-SWARA-MABACEvaluation of Bosnia and Herzegovina’s railway administration system
Vockic et al. [32]Rough SWARA-ARASElectric forklift selection
Zavadskas et al. [33]Rough SWARAChoosing of railroad carriages for local transportation requirements
Aydoğan and Özmen [34]Rough SWARA-TODIMEvaluating the competitiveness of countries in terms of travel
Prajapati et al. [35]Modified SWARA-WASPASWeighting the solutions of reverse logistics solutions
Badi and Pamucar [36]Grey MARCOSSelection of suppliers for LISCO steel manufacturing firm
Chakraborty et al. [37]D-MARCOSSelection of suppliers in iron and steel industry
Stankovic et al. [38]Fuzzy MARCOSRisk analysis of traffic
Stevic et al. [39]MARCOSSupplier selection for Bosnia and Herzegovina’s healthcare sector in terms of sustainability
Ulutaş et al. [40]CCSD-ITARA-MARCOSChoice of stackers in logistics
Miskic et al. [41]SWARA-MARCOSThe classification of products into three groups
Özdağoğlu et al. [42]Fuzzy SWARA-fuzzy MARCOSIn order to determine the importance of the criteria that airline companies should take into account in the recruitment of cabin crew and to choose the most appropriate one among the cabin crew alternatives
Taş et al. [43]Fuzzy SWARA-MARCOSA new combined fuzzy methodology is proposed to handle green supplier selection problem
Matic et al. [44]IMF SWARA-rough MARCOSTo create a novel integrated multicriteria decision-making (MCDM) model for the selection of pavers for the middle category of roads
Mešić et al. [45]MARCOSEvaluation of the Logistics Performance Index of the Western Balkan countries
Stević et al. [46]Fuzzy SWARASeven representative studies (logistics, construction industry, financial performance management, and supply chain) with different parameter structures and decision matrix sizes
Tus and Adalı [47]Fuzzy SWARA-fuzzy MARCOSTo develop applicable and efficient methodology for green supplier selection
Puška and Stojanović [48]Fuzzy SWARA-fuzzy MABAC, MARCOS, and CRADISGreen supplier selection in an agrifood company