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Sustainable supplier selection using HF-DEA-FOCUM-MABAC technique: a case study in the Auto-making industry

The assessment of sustainable supplier is very significant for supply chain management (SCM). The procedure of sustainable supplier selection (SSS) is a complex process for decision experts (DEs) due to the association of diverse qualitative and quantitative attributes. As the uncertainty is usually...

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Autores principales: Mishra, Arunodaya Raj, Saha, Abhijit, Rani, Pratibha, Pamucar, Dragan, Dutta, Debjit, Hezam, Ibrahim M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164192/
https://www.ncbi.nlm.nih.gov/pubmed/35677555
http://dx.doi.org/10.1007/s00500-022-07192-8
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author Mishra, Arunodaya Raj
Saha, Abhijit
Rani, Pratibha
Pamucar, Dragan
Dutta, Debjit
Hezam, Ibrahim M.
author_facet Mishra, Arunodaya Raj
Saha, Abhijit
Rani, Pratibha
Pamucar, Dragan
Dutta, Debjit
Hezam, Ibrahim M.
author_sort Mishra, Arunodaya Raj
collection PubMed
description The assessment of sustainable supplier is very significant for supply chain management (SCM). The procedure of sustainable supplier selection (SSS) is a complex process for decision experts (DEs) due to the association of diverse qualitative and quantitative attributes. As the uncertainty is usually ensued in the SSS and hesitant fuzzy set (HFS), an extension of fuzzy set (FS) has been demonstrated as one of the effective ways to treat the uncertain information in realistic problems. The objective of this paper is to propose an integrated hesitant fuzzy–data envelopment analysis (DEA)–full consistency method (FOCUM)–multi attribute border approximation area comparison (MABAC) method called HF-DEA-FUCOM-MABAC framework to assess the multi-attribute decision-making (MADM) problems on HFSs settings. In this line, first, the efficient alternatives are chosen using the DEA method. Second, The FUCOM is used to compute the subjective weight of attributes. Third, The HF-MABAC method is presented to prioritize the alternatives in an MADM problem. In the following, a case study of SSS problem for an Auto-making company is taken to show the practicality and utility of the presented approach. Next, we present a sensitivity investigation with different attribute weights set to observe the steadiness of the presented approach. Finally, we draw attention toward a comparison between presented approach with the extant HF-FOCUM-TOPSIS model to show its advantage and potency as well.
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spelling pubmed-91641922022-06-04 Sustainable supplier selection using HF-DEA-FOCUM-MABAC technique: a case study in the Auto-making industry Mishra, Arunodaya Raj Saha, Abhijit Rani, Pratibha Pamucar, Dragan Dutta, Debjit Hezam, Ibrahim M. Soft comput Soft Computing in Decision Making and in Modeling in Economics The assessment of sustainable supplier is very significant for supply chain management (SCM). The procedure of sustainable supplier selection (SSS) is a complex process for decision experts (DEs) due to the association of diverse qualitative and quantitative attributes. As the uncertainty is usually ensued in the SSS and hesitant fuzzy set (HFS), an extension of fuzzy set (FS) has been demonstrated as one of the effective ways to treat the uncertain information in realistic problems. The objective of this paper is to propose an integrated hesitant fuzzy–data envelopment analysis (DEA)–full consistency method (FOCUM)–multi attribute border approximation area comparison (MABAC) method called HF-DEA-FUCOM-MABAC framework to assess the multi-attribute decision-making (MADM) problems on HFSs settings. In this line, first, the efficient alternatives are chosen using the DEA method. Second, The FUCOM is used to compute the subjective weight of attributes. Third, The HF-MABAC method is presented to prioritize the alternatives in an MADM problem. In the following, a case study of SSS problem for an Auto-making company is taken to show the practicality and utility of the presented approach. Next, we present a sensitivity investigation with different attribute weights set to observe the steadiness of the presented approach. Finally, we draw attention toward a comparison between presented approach with the extant HF-FOCUM-TOPSIS model to show its advantage and potency as well. Springer Berlin Heidelberg 2022-06-03 2022 /pmc/articles/PMC9164192/ /pubmed/35677555 http://dx.doi.org/10.1007/s00500-022-07192-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 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
Mishra, Arunodaya Raj
Saha, Abhijit
Rani, Pratibha
Pamucar, Dragan
Dutta, Debjit
Hezam, Ibrahim M.
Sustainable supplier selection using HF-DEA-FOCUM-MABAC technique: a case study in the Auto-making industry
title Sustainable supplier selection using HF-DEA-FOCUM-MABAC technique: a case study in the Auto-making industry
title_full Sustainable supplier selection using HF-DEA-FOCUM-MABAC technique: a case study in the Auto-making industry
title_fullStr Sustainable supplier selection using HF-DEA-FOCUM-MABAC technique: a case study in the Auto-making industry
title_full_unstemmed Sustainable supplier selection using HF-DEA-FOCUM-MABAC technique: a case study in the Auto-making industry
title_short Sustainable supplier selection using HF-DEA-FOCUM-MABAC technique: a case study in the Auto-making industry
title_sort sustainable supplier selection using hf-dea-focum-mabac technique: a case study in the auto-making industry
topic Soft Computing in Decision Making and in Modeling in Economics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164192/
https://www.ncbi.nlm.nih.gov/pubmed/35677555
http://dx.doi.org/10.1007/s00500-022-07192-8
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