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A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study

Since the COVID-19 outbreak has led to drastic changes in the business environment, researchers attempt to introduce new approaches to improve the capability and flexibility of the industries. In this regard, recently, the concept of the viable supply chain, which tried to incorporate the leagile, r...

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Autores principales: Rostami, Omid, Tavakoli, Mahdieh, Tajally, AmirReza, GhanavatiNejad, Mohssen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638384/
https://www.ncbi.nlm.nih.gov/pubmed/36373094
http://dx.doi.org/10.1007/s00500-022-07572-0
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author Rostami, Omid
Tavakoli, Mahdieh
Tajally, AmirReza
GhanavatiNejad, Mohssen
author_facet Rostami, Omid
Tavakoli, Mahdieh
Tajally, AmirReza
GhanavatiNejad, Mohssen
author_sort Rostami, Omid
collection PubMed
description Since the COVID-19 outbreak has led to drastic changes in the business environment, researchers attempt to introduce new approaches to improve the capability and flexibility of the industries. In this regard, recently, the concept of the viable supply chain, which tried to incorporate the leagile, resiliency, sustainability, and digitalization aspects into the post-pandemic supply chain, has been introduced by researchers. However, the literature shows that there is lack of study that investigated the viable supplier selection problem, as one of the crucial branches of viable supply chain management. Therefore, to cover this gap, the current work aims to develop a decision-making framework to investigated the viable supplier selection problem. In this regard, owing to the crucial role of the oxygen concentrator device during the COVID-19 outbreak, this research selects the mentioned product as a case study. After determining the indicators and alternatives of the research problem, a novel method named goal programming-based fuzzy best–worst method (GP-FBWM) is proposed to compute the indicators’ weights. Then, the potential alternatives are prioritized employing the Fuzzy Vlse Kriterijumsk Optimizacija Kompromisno Resenje method. In general, the main contributions and novelties of the present research are to incorporate the elements of the viability concepts in the supplier selection problem for the medical devices industry and to develop an efficient method GP-FBWM to measure the importance of the criteria. Then, the developed method is implemented and the obtained results are analyzed. Finally, managerial and theoretical implications are provided. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00500-022-07572-0.
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spelling pubmed-96383842022-11-07 A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study Rostami, Omid Tavakoli, Mahdieh Tajally, AmirReza GhanavatiNejad, Mohssen Soft comput Soft Computing in Decision Making and in Modeling in Economics Since the COVID-19 outbreak has led to drastic changes in the business environment, researchers attempt to introduce new approaches to improve the capability and flexibility of the industries. In this regard, recently, the concept of the viable supply chain, which tried to incorporate the leagile, resiliency, sustainability, and digitalization aspects into the post-pandemic supply chain, has been introduced by researchers. However, the literature shows that there is lack of study that investigated the viable supplier selection problem, as one of the crucial branches of viable supply chain management. Therefore, to cover this gap, the current work aims to develop a decision-making framework to investigated the viable supplier selection problem. In this regard, owing to the crucial role of the oxygen concentrator device during the COVID-19 outbreak, this research selects the mentioned product as a case study. After determining the indicators and alternatives of the research problem, a novel method named goal programming-based fuzzy best–worst method (GP-FBWM) is proposed to compute the indicators’ weights. Then, the potential alternatives are prioritized employing the Fuzzy Vlse Kriterijumsk Optimizacija Kompromisno Resenje method. In general, the main contributions and novelties of the present research are to incorporate the elements of the viability concepts in the supplier selection problem for the medical devices industry and to develop an efficient method GP-FBWM to measure the importance of the criteria. Then, the developed method is implemented and the obtained results are analyzed. Finally, managerial and theoretical implications are provided. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00500-022-07572-0. Springer Berlin Heidelberg 2022-11-04 2023 /pmc/articles/PMC9638384/ /pubmed/36373094 http://dx.doi.org/10.1007/s00500-022-07572-0 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Soft Computing in Decision Making and in Modeling in Economics
Rostami, Omid
Tavakoli, Mahdieh
Tajally, AmirReza
GhanavatiNejad, Mohssen
A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study
title A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study
title_full A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study
title_fullStr A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study
title_full_unstemmed A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study
title_short A goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study
title_sort goal programming-based fuzzy best–worst method for the viable supplier selection problem: a case study
topic Soft Computing in Decision Making and in Modeling in Economics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638384/
https://www.ncbi.nlm.nih.gov/pubmed/36373094
http://dx.doi.org/10.1007/s00500-022-07572-0
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