Green Supplier Selection Based on the Combination of Fuzzy SWARA (SWARA-F) and Fuzzy MARCOS (MARCOS-F) Methods

Tuş, Ayşegül; Adalı, Esra Aytaç

doi:10.35378/gujs.978997

Cited by 7 publications

(2 citation statements)

References 97 publications

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“…Further, since the introduction of the Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS) in the year 2020 [19], it has gained attention by researchers and its application has been extended to several field of applications for decision making. Examples of the areas of applications include supplier selection [20][21][22][23][24], logistics [25,26], infrastructure and Technology assessment [27][28][29][30][31][32][33][34][35][36] and Management decisions [37]. At inception, it was applied to assess the sustainable supplier selection in the medical industry which is a very important task in the medical firm that must be strategically addressed because of the quality expected from medical supplies.…”

Section: Introductionmentioning

confidence: 99%

“…An example of this application is the integration of extended VIKOR and MARCOS for sustainable supplier selection in organ transplantation Networks for healthcare Devices using interval-valued intuitionistic Fuzzy model [38]. Ayşegül and Adali [20], integrated the Fuzzy MARCOS model with Fuzzy SWARA (Stepwise Weight Assessment Ratio Analysis) in green supply chain management in order to identify the best supplier from alternative suppliers in a textile industry where green and environmentally friendly textile dyes are needed to be supplied in the industries. The implementation of this integrating Fuzzy MARCOS with Fuzzy SWARA for green supplier selection has also been verified by Tas et.…”

Section: Introductionmentioning

confidence: 99%

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A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs

Olabanji

2023

Preprint

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The development of an equipment starts from an effective design activity. The concept selection process is an activity that is entailed in the design stage and its relevance in the design process cannot be overemphasized because it informs the choice of optimal conceptual design from a set of alternative design. Hence, there is a need to accrue efforts to the concept selection process because of its importance. This article presents the identification of optimal conceptual design as a Multicriteria decision making model by assessing the suitability of Fuzzy Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). The Fuzzy MARCOS model was developed to access four alternative conceptual designs of briquetting machines considering eight design features with several sub features. The fuzzy MARCOS model was able to rank the conceptual designs and the results obtained from the decision analysis showed that the Fuzzy MARCOS model was able to rank the designs based on their performance and the final values of the overall utility function. The overall utility function is a based on the utility degree of the conceptual design alternatives in terms of the best and worst designs identified by the model. The utility degree created a platform for comparison on how the design alternatives varies from the best and worst design.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs

Olabanji

2023

Preprint

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Intuitionistic fuzzy EM-SWARA-TOPSIS approach based on new distance measure to assess the medical waste treatment techniques

Patel

Jana

Mahanta

2023

Applied Soft Computing

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

et al. 2023

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Supply chain management (SCM) is deeply affected by the COVID-19 pandemic besides breakdowns occurred in all sectors. Nowadays, managers need techniques for protecting supply chains from serious and costly disruptions, establishing permanent relationships with the customers and partners and preventing breakdowns throughout the process. Each firm needs to determine SCM strategies to be prepared for breakdowns in an intense competitive environment. With COVID-19, the change in business and trade environments has taken a different dimension, and it has revealed a new relationship between the efforts to perpetuate supply chains and strategies for supply chain management and enabled new models. In this study, it is aimed to prioritize the factors that lead to SCM breaks needed in project management and the realization of projects, and to choose the most successful SCM strategy considering COVID-19. For this purpose, rough SWARA was used for weighting factors and rough MARCOS was used for the alternative selection. According to the findings, the transportation capacity factor was found to be the most important factor leading to SCM breakdowns. The most ideal supply chain management strategy has been the “collaborative supply chain management strategy.” In the food manufacturing sector, the study can be considered as a roadmap in terms of preventing supply chain management breaks during the COVID-19 process and helping to ensure a sustainable production. As another theoretical and practical importance of the study, it is aimed to propose a robust, powerful, and practical decision-making model that can cope with the current uncertainties.

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Green Supplier Selection Based on the Combination of Fuzzy SWARA (SWARA-F) and Fuzzy MARCOS (MARCOS-F) Methods

Abstract: Highlights• Proposes MCDM methodology that includes the combination of SWARA-F and MARCOS-F methods.• Implements the novel hybrid MCDM methodology for green supplier selection.• Presents real case study for the solution based on prioritizing and selecting the green suppliers.

Cited by 7 publications

References 97 publications

A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs

A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs

Intuitionistic fuzzy EM-SWARA-TOPSIS approach based on new distance measure to assess the medical waste treatment techniques

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

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