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An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection

Afrasiabi, Ahmadreza ; Tavana, Madjid ; Di Caprio, Debora

Environmental science and pollution research international, 2022-05, Vol.29 (25), p.37291-37314 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Título:
An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection
Autor: Afrasiabi, Ahmadreza ; Tavana, Madjid ; Di Caprio, Debora
Assuntos: Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Business competition ; Component and supplier management ; COVID-19 ; Decision Making ; Earth and Environmental Science ; Economic models ; Ecotoxicology ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental management ; Environmental management systems ; Environmental science ; Evaluation ; Fuzzy Logic ; Fuzzy sets ; Humans ; Manufacturing industry ; Multiple criterion ; Pandemics ; Pollution control ; Research Article ; Resilience ; Risk management ; Sensitivity analysis ; Suppliers ; Supply chains ; Sustainability ; Sustainable Development ; Uncertainty ; Waste Water Technology ; Water Management ; Water Pollution Control
É parte de: Environmental science and pollution research international, 2022-05, Vol.29 (25), p.37291-37314
Notas: Responsible Editor: Philippe Garrigues
Descrição: The formalization and solution of supplier selection problems (SSPs) based on sustainable (economic, environmental, and social) indicators have become a fundamental tool to perform a strategic analysis of the whole supply chain process and maximize the competitive advantage of firms. Over the last decade, sustainability issues have been often considered in combination with resilient indexes leading to the study of sustainable-resilient supplier selection problems (SRSSPs). The current research on sustainable development, particularly concerned with the strong impact that the recent COVID-19 pandemic has had on supply chains, has been paying increasing attention to the resilience concept and its role within SSPs. This study proposes a hybrid fuzzy multi-criteria decision making (MCDM) method to solve SRSSPs. The fuzzy best-worst method is used first to determine the importance weights of the selection criteria. A combined grey relational analysis and the technique for order of preference by similarity to ideal solution (TOPSIS) method is used next to evaluate the suppliers in a fuzzy environment. Triangular fuzzy numbers (TFNs) are used to express the weights of criteria and alternatives to account for the ambiguity and uncertainty inherent to subjective evaluations. However, the proposed method can be easily extended to other fuzzy settings depending on the uncertainty facing managers and decision-makers. A real-life application is presented to demonstrate the applicability and efficacy of the proposed model. Sixteen evaluation criteria are identified and classified as economic, environmental, social, or resilient. The results obtained through the case study show that “pollution control,” “environmental management system,” and “risk awareness” are the most influential criteria when studying SRSSPs related to the manufacturing industry. Finally, three different sensitivity analysis methods are applied to validate the robustness of the proposed framework, namely, changing the weights of the criteria, comparing the results with those of other common fuzzy MCDM methods, and changing the components of the principal decision matrix.
Editor: Berlin/Heidelberg: Springer Berlin Heidelberg
Idioma: Inglês

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An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection

Afrasiabi, Ahmadreza ; Tavana, Madjid ; Di Caprio, Debora

Berlin/Heidelberg: Springer Berlin Heidelberg

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