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Incorporating management opinion in green supplier selection model using quality function deployment and interactive fuzzy programming
The need for environmental protection and involvement of ecological aspects in the business operations is forcing the organizations to re-examine their action plans and rebuild their supply chain activities. Many organizations are incorporating environmental rules and regulations in their everyday m...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202931/ https://www.ncbi.nlm.nih.gov/pubmed/35709147 http://dx.doi.org/10.1371/journal.pone.0268552 |
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author | Khattak, Beenish Khan Naseem, Afshan Ullah, Mehran Imran, Muhammad El Ferik, Sami |
author_facet | Khattak, Beenish Khan Naseem, Afshan Ullah, Mehran Imran, Muhammad El Ferik, Sami |
author_sort | Khattak, Beenish Khan |
collection | PubMed |
description | The need for environmental protection and involvement of ecological aspects in the business operations is forcing the organizations to re-examine their action plans and rebuild their supply chain activities. Many organizations are incorporating environmental rules and regulations in their everyday matters by focusing on green supplier selection. The proposed research paper develops a multi-objective interactive fuzzy programming model for the selection of suppliers. This model works on a business quartet of green appraisal score, cost, quality, and time. The model uses an environmental scale for different green parameters and all the suppliers are scored based on this scale. In this research model, Quality Function Deployment (QFD) methodology is integrated with the multi-objective interactive fuzzy programming. QFD technique is utilized to compute the weights of several green factors used for the selection of suppliers. The model uses a Fuzzy linguistic scale and a triangular membership function to link expert opinions along with their experience to solve the problem. Finally, the model is validated on a numerical case study of the textile industry for green supplier selection which achieves a 100% satisfaction for cost and time, 75% satisfaction for green appraisal score, and 93.95% for the quality. The proposed model assists the decision-makers in selecting green suppliers to improve the overall sustainability of their organizations. |
format | Online Article Text |
id | pubmed-9202931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-92029312022-06-17 Incorporating management opinion in green supplier selection model using quality function deployment and interactive fuzzy programming Khattak, Beenish Khan Naseem, Afshan Ullah, Mehran Imran, Muhammad El Ferik, Sami PLoS One Research Article The need for environmental protection and involvement of ecological aspects in the business operations is forcing the organizations to re-examine their action plans and rebuild their supply chain activities. Many organizations are incorporating environmental rules and regulations in their everyday matters by focusing on green supplier selection. The proposed research paper develops a multi-objective interactive fuzzy programming model for the selection of suppliers. This model works on a business quartet of green appraisal score, cost, quality, and time. The model uses an environmental scale for different green parameters and all the suppliers are scored based on this scale. In this research model, Quality Function Deployment (QFD) methodology is integrated with the multi-objective interactive fuzzy programming. QFD technique is utilized to compute the weights of several green factors used for the selection of suppliers. The model uses a Fuzzy linguistic scale and a triangular membership function to link expert opinions along with their experience to solve the problem. Finally, the model is validated on a numerical case study of the textile industry for green supplier selection which achieves a 100% satisfaction for cost and time, 75% satisfaction for green appraisal score, and 93.95% for the quality. The proposed model assists the decision-makers in selecting green suppliers to improve the overall sustainability of their organizations. Public Library of Science 2022-06-16 /pmc/articles/PMC9202931/ /pubmed/35709147 http://dx.doi.org/10.1371/journal.pone.0268552 Text en © 2022 Khattak et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Khattak, Beenish Khan Naseem, Afshan Ullah, Mehran Imran, Muhammad El Ferik, Sami Incorporating management opinion in green supplier selection model using quality function deployment and interactive fuzzy programming |
title | Incorporating management opinion in green supplier selection model using quality function deployment and interactive fuzzy programming |
title_full | Incorporating management opinion in green supplier selection model using quality function deployment and interactive fuzzy programming |
title_fullStr | Incorporating management opinion in green supplier selection model using quality function deployment and interactive fuzzy programming |
title_full_unstemmed | Incorporating management opinion in green supplier selection model using quality function deployment and interactive fuzzy programming |
title_short | Incorporating management opinion in green supplier selection model using quality function deployment and interactive fuzzy programming |
title_sort | incorporating management opinion in green supplier selection model using quality function deployment and interactive fuzzy programming |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202931/ https://www.ncbi.nlm.nih.gov/pubmed/35709147 http://dx.doi.org/10.1371/journal.pone.0268552 |
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