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A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials
The post-disaster humanitarian logistic operations deal with the supply of emergency relief materials to mitigate damages in the affected areas. Immediately after the disaster, it is challenging to estimate the demand for emergency relief materials. As a result, the demand for such materials at the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441046/ https://www.ncbi.nlm.nih.gov/pubmed/34539018 http://dx.doi.org/10.1007/s10479-021-04267-x |
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author | Jana, Rabin K. Sharma, Dinesh K. Mehta, Peeyush |
author_facet | Jana, Rabin K. Sharma, Dinesh K. Mehta, Peeyush |
author_sort | Jana, Rabin K. |
collection | PubMed |
description | The post-disaster humanitarian logistic operations deal with the supply of emergency relief materials to mitigate damages in the affected areas. Immediately after the disaster, it is challenging to estimate the demand for emergency relief materials. As a result, the demand for such materials at the point of demand and the corresponding transportation costs for the entire supply chain network becomes uncertain. This paper proposes a new probabilistic fuzzy goal programming model for making decisions to manage the post-disaster supply of emergency relief materials. A suggested procedure converts the proposed model to its deterministic equivalent when the demands for the relief materials follow uniform distributions. We implement the differential evolution, a metaheuristic technique, for analyzing demand satisfaction for relief materials under various scenarios. A case example based on the Nepal Earthquake in 2015 demonstrates the usefulness of the proposed approach. The solution of the model will help the Disaster Management Agency coordinate with the humanitarian organizations and foreign countries to provide the required emergency relief materials so that an adequate level of supply can be assured to the affected areas with the least possible transportation cost. |
format | Online Article Text |
id | pubmed-8441046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-84410462021-09-15 A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials Jana, Rabin K. Sharma, Dinesh K. Mehta, Peeyush Ann Oper Res Original Research The post-disaster humanitarian logistic operations deal with the supply of emergency relief materials to mitigate damages in the affected areas. Immediately after the disaster, it is challenging to estimate the demand for emergency relief materials. As a result, the demand for such materials at the point of demand and the corresponding transportation costs for the entire supply chain network becomes uncertain. This paper proposes a new probabilistic fuzzy goal programming model for making decisions to manage the post-disaster supply of emergency relief materials. A suggested procedure converts the proposed model to its deterministic equivalent when the demands for the relief materials follow uniform distributions. We implement the differential evolution, a metaheuristic technique, for analyzing demand satisfaction for relief materials under various scenarios. A case example based on the Nepal Earthquake in 2015 demonstrates the usefulness of the proposed approach. The solution of the model will help the Disaster Management Agency coordinate with the humanitarian organizations and foreign countries to provide the required emergency relief materials so that an adequate level of supply can be assured to the affected areas with the least possible transportation cost. Springer US 2021-09-15 2022 /pmc/articles/PMC8441046/ /pubmed/34539018 http://dx.doi.org/10.1007/s10479-021-04267-x Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 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 Research Jana, Rabin K. Sharma, Dinesh K. Mehta, Peeyush A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials |
title | A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials |
title_full | A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials |
title_fullStr | A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials |
title_full_unstemmed | A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials |
title_short | A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials |
title_sort | probabilistic fuzzy goal programming model for managing the supply of emergency relief materials |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441046/ https://www.ncbi.nlm.nih.gov/pubmed/34539018 http://dx.doi.org/10.1007/s10479-021-04267-x |
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