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Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework
The crucial role of sustainable development and resiliency strategies is undeniable in today’s competitive market space, especially after the Coronavirus outbreak. Hence, this research develops a multistage decision-making framework to investigate the supply chain network design problem considering...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166692/ https://www.ncbi.nlm.nih.gov/pubmed/37359165 http://dx.doi.org/10.1007/s10098-023-02538-8 |
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author | Zarei-Kordshouli, Farnaz Paydar, Mohammad Mahdi Nayeri, Sina |
author_facet | Zarei-Kordshouli, Farnaz Paydar, Mohammad Mahdi Nayeri, Sina |
author_sort | Zarei-Kordshouli, Farnaz |
collection | PubMed |
description | The crucial role of sustainable development and resiliency strategies is undeniable in today’s competitive market space, especially after the Coronavirus outbreak. Hence, this research develops a multistage decision-making framework to investigate the supply chain network design problem considering the sustainability and resiliency dimensions. In this way, the scores of the potential suppliers based on the sustainability and resilience dimensions were calculated using the MADM methods, and then, these scores were applied as inputs in the proposed mathematical model (the second stage), which determined which supplier should be selected. The proposed model aims to minimize the total costs, maximize the suppliers' sustainability and resiliency, and maximize the distribution centers' resiliency. Then, the proposed model is solved by the preemptive fuzzy goal programming method. Overall, the main objectives and aims of the current work are to present a comprehensive decision-making model that can incorporate the sustainability and resilience dimensions into the supplier selection and supply chain configuration processes. In general, the main contributions and advantages of this work can be summarized as follows: (i) this research simultaneously investigates the sustainability and resiliency concepts in the dairy supply chain, (ii) the current work develops an efficient multistage decision-making model that can evaluate the suppliers based on the resilience and sustainability dimensions and configure the supply chain network, simultaneously. Based on the obtained results, the responsiveness and facilities reinforcement indicators are the most important indicators for the resilient aspect. On the other hand, reliability and quality are the most important indicators of sustainability aspect. Also, the results show that a large percentage of supply chain costs are related to purchasing and production costs. Besides, according to the outputs, the total cost of supply chain increases by enhancing the demand. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10098-023-02538-8. |
format | Online Article Text |
id | pubmed-10166692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-101666922023-05-11 Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework Zarei-Kordshouli, Farnaz Paydar, Mohammad Mahdi Nayeri, Sina Clean Technol Environ Policy Original Paper The crucial role of sustainable development and resiliency strategies is undeniable in today’s competitive market space, especially after the Coronavirus outbreak. Hence, this research develops a multistage decision-making framework to investigate the supply chain network design problem considering the sustainability and resiliency dimensions. In this way, the scores of the potential suppliers based on the sustainability and resilience dimensions were calculated using the MADM methods, and then, these scores were applied as inputs in the proposed mathematical model (the second stage), which determined which supplier should be selected. The proposed model aims to minimize the total costs, maximize the suppliers' sustainability and resiliency, and maximize the distribution centers' resiliency. Then, the proposed model is solved by the preemptive fuzzy goal programming method. Overall, the main objectives and aims of the current work are to present a comprehensive decision-making model that can incorporate the sustainability and resilience dimensions into the supplier selection and supply chain configuration processes. In general, the main contributions and advantages of this work can be summarized as follows: (i) this research simultaneously investigates the sustainability and resiliency concepts in the dairy supply chain, (ii) the current work develops an efficient multistage decision-making model that can evaluate the suppliers based on the resilience and sustainability dimensions and configure the supply chain network, simultaneously. Based on the obtained results, the responsiveness and facilities reinforcement indicators are the most important indicators for the resilient aspect. On the other hand, reliability and quality are the most important indicators of sustainability aspect. Also, the results show that a large percentage of supply chain costs are related to purchasing and production costs. Besides, according to the outputs, the total cost of supply chain increases by enhancing the demand. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10098-023-02538-8. Springer Berlin Heidelberg 2023-05-09 /pmc/articles/PMC10166692/ /pubmed/37359165 http://dx.doi.org/10.1007/s10098-023-02538-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023, 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 | Original Paper Zarei-Kordshouli, Farnaz Paydar, Mohammad Mahdi Nayeri, Sina Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework |
title | Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework |
title_full | Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework |
title_fullStr | Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework |
title_full_unstemmed | Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework |
title_short | Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework |
title_sort | designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166692/ https://www.ncbi.nlm.nih.gov/pubmed/37359165 http://dx.doi.org/10.1007/s10098-023-02538-8 |
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