An Interval-Valued Intuitionistic Fuzzy Model Based on Extended VIKOR and MARCOS for Sustainable Supplier Selection in Organ Transplantation Networks for Healthcare Devices

Salimian, Sina; Mousavi, Seyed Meysam; Antuchevičienė, Jurgita

doi:10.3390/su14073795

Cited by 56 publications

(32 citation statements)

References 66 publications

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“…During COVID-19, the authors recommended paying attention to safety and health practices, distant working circumstances, and localization while selecting suppliers. In addition to the abovementioned MCDM techniques used in supplier selection problem, there are many other effective and novel methods that have been widely applied in multiple industries, such as SWOT analysis [33], Analytic Network Process (ANP) [34], Evaluation Based on Distance from Average Solution (EDAS) [35], Decision Making Trial and Evaluation Laboratory (DEMATEL) [36], COmbined COmpromise SOlution (CoCoSo) [37,38], Multi-Attribute Utility Theory (MAUT) [39], Measurement Alternatives and Ranking according to the Compromise Solution (MARCOS) [40], Simple Weighted Sum Product (WISP) [41], Simultaneous Evaluation of Criteria and Alternatives (SECA) [42], to name a few. Table 1 summarizes the methodologies taken by researchers in the realm of supplier and SSS green practices.…”

Section: Literature Review On Sss and Criteriamentioning

confidence: 99%

“…Luthra et al [26] AHP and VIKOR SSS for the Indian automobile industry Azimifard et al [43] AHP and TOPSIS SSS for Iran's Steel Industry Awasthi et al [27] Fuzzy AHP and Fuzzy VIKOR Multi-tier SSS for electronic goods manufacturing Jain et al [28] AHP and TOPSIS SSS in the Indian automotive industry Abdel-Basset et al [34] Neutrosophic Group ANP and TOPSIS SSS in a dairy company in Egypt Mohammed et al [44] MCDM-FMOO SSS in a metal factory in Saudi Arabia Gupta et al [29] Fuzzy AHP, TOPSIS, MABAC and WASPAS Green supplier selection in the automotive industry in India Memari et al [30] Intuitionistic fuzzy TOPSIS SSS for the manufacturer of catalytic converters Wong [45] Fuzzy goal programming Green supplier selection with risk management Hendiani et al [11] Fuzzy BWM SSS for refineries in Iran Zhang et al [36] DEMATEL and fuzzy VIKOR Numerical analysis Thanh and Lan [37] Fuzzy AHP and CoCoSo SSS in the food processing industry Çalık [46] Pythagorean fuzzy AHP and fuzzy TOPSIS Green supplier selection in the industry 4.0 era Orji and Ojadi [3] AHP and MULTIMOORA SSS in the Nigerian manufacturing sector with COVID-19 impacts Wang and Chen [31] AHP-MINLP-GA SSS with COVID-19 impacts Nguyen et al [47] Fuzzy AHP and VIKOR Supplier selection in coffee bean supply chain with COVID-19 impacts Petrudi et al [32] BWM and GRA SSS with COVID-19 impacts in Iran Salimian et al [40] VIKOR and MARCOS SSS in the healthcare sector…”

Section: Approaches Issues Addressedmentioning

confidence: 99%

“…Step 6: First, the optimality criterion K is determined using Equation (39). Then, the utility degree of each alternative N h is calculated by comparing the alternatives under consideration with the best alternative (i.e., 100% for the best alternative), as can be seen in Equation (40). 4.…”

Section: Linguistics Scale Grey Number [X X]mentioning

confidence: 99%

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A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under Uncertainty

Dang

Nguyen

et al. 2022

Axioms

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Sustainable supplier selection (SSS) is gaining popularity as a practical method to supply chain sustainability among academics and practitioners. However, in addition to balancing economic, social, and environmental factors, the emergence of the COVID-19 pandemic has affected the selection of long-term suppliers to ensure sustainable supply chains, recover better from the pandemic and effectively respond to any future unprecedented crises. The purpose of this study is to assess and choose a possible supplier based on their capability to adapt to the COVID-19 epidemic in a sustainable manner. For this assessment, a framework based on multi-criteria decision making (MCDM) is provided that integrates spherical fuzzy Analytical Hierarchical Process (SF-AHP) and grey Complex Proportional Assessment (G-COPRAS), in which spherical fuzzy sets and grey numbers are used to express the ambiguous linguistic evaluation statements of experts. In the first stage, the evaluation criteria system is identified through a literature review and experts’ opinions. The SF-AHP is then used to determine the criteria weights. Finally, the G-COPRAS method is utilized to select sustainable suppliers. A case study in the automotive industry in Vietnam is presented to demonstrate the proposed approach’s effectiveness. From the SF-AHP findings, “quality”, “use of personal protective equipment”, “cost/price”, “safety and health practices and wellbeing of suppliers”, and “economic recovery programs” have been ranked as the five most important criteria. From G-COPRAS analysis, THACO Parts (Supplier 02) is the best supplier. A sensitivity study was also conducted to verify the robustness of the proposed model, in which the priority rankings of the best suppliers are very similar. For long-term development and increased competitiveness, industrial businesses must stress the integration of response mechanisms during SSS implementation in the COVID-19 epidemic, according to the findings. This will result in significant cost and resource savings, as well as reduced environmental consequences and a long-term supply chain, independent of the crisis.

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Section: Literature Review On Sss and Criteriamentioning

confidence: 99%

Section: Approaches Issues Addressedmentioning

confidence: 99%

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A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under Uncertainty

Dang

Nguyen

et al. 2022

Axioms

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“…Trung [69] EDAS-MARCOS-PIV-MOORA-TOPSIS Determining the value of cutting parameters for both the low surface roughness and significant material removal rate in the milling process Salimian, S., Mousavi, S. M., & Antucheviciene, J. [70] Extended VIKOR and MARCOS An interval-valued intuitionistic fuzzy model for sustainable supplier selection in organ transplantation networks for healthcare devices.…”

Section: Literature On Marcosmentioning

confidence: 99%

The Suitability-Feasibility-Acceptability Strategy Integrated with Bayesian BWM-MARCOS Methods to Determine the Optimal Lithium Battery Plant Located in South America

et al. 2022

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This study aims to help managers develop a proper strategy and policy for their company’s future. After the global COVID-19 pandemic, developed countries decided to change their production and relocate and re-industrialize. The U.S.’s big electronics and automobile companies are not an exception to this rule. The lithium batteries are the main instrument of mobile phone and electric vehicles. The leading lithium battery supplier for the U.S mobile phone companies is China. Argentina, Bolivia, and Chile (in South America) have some of the largest lithium mines in the world; these countries are known as the lithium triangle. Among the 86 million tonnes of lithium resources worldwide, 49.9 million tonnes exist in this area. The researchers in this study surveyed the best country for constructing a battery for companies in the U.S. Because of the growth of electric vehicles and their use of the lithium battery, the world is facing astronomical prices for lithium. To emphasize this issue and help managers create good policy, this study combined multiple methods. The improved suitability-feasibility-acceptability (SFA) strategy is integrated with the Bayesian best-worst method (BBWM) and measurement of alternatives and rankings according to compromise solution (MARCOS) multicriteria methods to determine the best destination. For comparison, based on the SFA strategy, seven criteria are introduced: commercially viable reserves, national minimum wage, corporate income tax, accessibility to mining companies, accessibility to the waterway, population, and political stability index. The Bayesian BWM analysis reveals that the foremost factor is corporate income tax, whereas MARCOS’s findings indicate that Chile is the best country to construct the lithium battery industry. To verify the proposed approach, a comparison analysis also is performed.

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“…Healthcare is an ever-growing industry with a vast demand for healthcare services in various specialties that produce a large number of wastes, which can range from domestic to infectious or even radioactive, henceforth mentioned in this article as healthcare wastes (HCWs) [ 46 , 47 , 48 , 49 ].…”

Section: Healthcare/medical Wastes Quantities and Generation Ratesmentioning

confidence: 99%

Identifying and Predicting Healthcare Waste Management Costs for an Optimal Sustainable Management System: Evidence from the Greek Public Sector

Sepetis

Zaza

Rizos

et al. 2022

IJERPH

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The healthcare sector is an ever-growing industry which produces a vast amount of waste each year, and it is crucial for healthcare systems to have an effective and sustainable medical waste management system in order to protect public health. Greek public hospitals in 2018 produced 9500 tons of hazardous healthcare wastes, and it is expected to reach 18,200 tons in 2025 and exceed 18,800 tons in 2030. In this paper, we investigated the factors that affect healthcare wastes. We obtained data from all Greek public hospitals and conducted a regression analysis, with the management cost of waste and the kilos of waste as the dependent variables, and a number of variables reflecting the characteristics of each hospital and its output as the independent variables. We applied and compared several models. Our study shows that healthcare wastes are affected by several individual-hospital characteristics, such as the number of beds, the type of the hospital, the services the hospital provides, the number of annual inpatients, the days of stay, the total number of surgeries, the existence of special units, and the total number of employees. Finally, our study presents two prediction models concerning the management costs and quantities of infectious waste for Greece’s public hospitals and proposes specific actions to reduce healthcare wastes and the respective costs, as well as to implement and adopt certain tools, in terms of sustainability.

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An Interval-Valued Intuitionistic Fuzzy Model Based on Extended VIKOR and MARCOS for Sustainable Supplier Selection in Organ Transplantation Networks for Healthcare Devices

Cited by 56 publications

References 66 publications

A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under Uncertainty

A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under Uncertainty

The Suitability-Feasibility-Acceptability Strategy Integrated with Bayesian BWM-MARCOS Methods to Determine the Optimal Lithium Battery Plant Located in South America

Identifying and Predicting Healthcare Waste Management Costs for an Optimal Sustainable Management System: Evidence from the Greek Public Sector

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