A Mixed Integer Programming Optimization of Blood Plasma Supply Chain in the Uncertainty Conditions during COVID-19: A Real Case in Iran
Blood and its products, like plasma, are among the most sensitive products for the sake of transportation and storage. Special storage conditions, short shelf life, and lack of particular demand for blood products are among the most significant challenges to managing it. In this respect, it is neces...
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| Vydané v: | Discrete dynamics in nature and society Ročník 2022; číslo 1 |
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| Hlavný autor: | |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
New York
Hindawi
2022
John Wiley & Sons, Inc Wiley |
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| ISSN: | 1026-0226, 1607-887X |
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| Abstract | Blood and its products, like plasma, are among the most sensitive products for the sake of transportation and storage. Special storage conditions, short shelf life, and lack of particular demand for blood products are among the most significant challenges to managing it. In this respect, it is necessary to implement the problem of supply chain network design in uncertain conditions to find a proper solution for the management of blood products. In this study, a multilevel supply chain is designed to supply plasma in the COVID-19 pandemic. First, the blood is sent to blood donation centers and then to the laboratory. Moreover, after that, it is sent to hospitals. To optimize the transfer rate at each level of the supply chain, a mathematical model is proposed to reduce total costs. Also, the fuzzy programming approach is used to deal with uncertainty in the parameters of the mathematical model. The results of model optimization show that this mathematical model has the required efficiency in finding optimal solutions for the distribution of blood products. According to the obtained results, value objective function in certain and uncertain values is determined. According to the results, the objective certain value is lower than the uncertain value. Uncertain value calculated is of three dimensions. According to this, the categorized objective value increased when the dimension is equal to 0.5. Finally, it shows that when demand increases, more blood and plasma need to be collected to meet the demand, which increases operating and health testing costs and ultimately increases total system costs. |
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| AbstractList | Blood and its products, like plasma, are among the most sensitive products for the sake of transportation and storage. Special storage conditions, short shelf life, and lack of particular demand for blood products are among the most significant challenges to managing it. In this respect, it is necessary to implement the problem of supply chain network design in uncertain conditions to find a proper solution for the management of blood products. In this study, a multilevel supply chain is designed to supply plasma in the COVID-19 pandemic. First, the blood is sent to blood donation centers and then to the laboratory. Moreover, after that, it is sent to hospitals. To optimize the transfer rate at each level of the supply chain, a mathematical model is proposed to reduce total costs. Also, the fuzzy programming approach is used to deal with uncertainty in the parameters of the mathematical model. The results of model optimization show that this mathematical model has the required efficiency in finding optimal solutions for the distribution of blood products. According to the obtained results, value objective function in certain and uncertain values is determined. According to the results, the objective certain value is lower than the uncertain value. Uncertain value calculated is of three dimensions. According to this, the categorized objective value increased when the dimension is equal to 0.5. Finally, it shows that when demand increases, more blood and plasma need to be collected to meet the demand, which increases operating and health testing costs and ultimately increases total system costs. |
| Audience | Academic |
| Author | Baghbani, Bijan |
| Author_xml | – sequence: 1 givenname: Bijan orcidid: 0000-0002-3959-2109 surname: Baghbani fullname: Baghbani, Bijan organization: Department of Industrial EngineeringScience and Arts UniversityYazdIran |
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| CitedBy_id | crossref_primary_10_1016_j_dajour_2023_100279 crossref_primary_10_3390_systems11030124 crossref_primary_10_1016_j_sca_2025_100142 |
| Cites_doi | 10.1108/jhlscm-11-2018-0072 10.1016/s2352-3026(20)30186-1 10.1016/j.apm.2020.12.010 10.1016/j.ijdrr.2017.10.005 10.1287/opre.30.4.680 10.1007/s10479-021-04490-6 10.1504/ijise.2021.10037641 10.1007/s11067-020-09500-x 10.1155/2021/7217182 10.1007/s00521-019-04343-1 10.1016/j.cie.2020.106790 10.1016/j.cie.2021.107535 10.1016/j.jom.2014.11.002 10.1155/2020/8881751 |
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| Copyright | Copyright © 2022 Bijan Baghbani. COPYRIGHT 2022 John Wiley & Sons, Inc. Copyright © 2022 Bijan Baghbani. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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| DOI | 10.1155/2022/3783119 |
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| SubjectTerms | Biological products Blood & organ donations Blood banks Blood donors Blood groups Blood plasma Blood products Blood transfusions Coronaviruses COVID-19 Demand Disease transmission Epidemics Integer programming Iran Literature reviews Logistics Mathematical models Mathematical programming Medical care, Cost of Mixed integer Network design Operating costs Optimization Pandemics Plasma Shelf life Supply & demand Supply chains Uncertainty |
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| Title | A Mixed Integer Programming Optimization of Blood Plasma Supply Chain in the Uncertainty Conditions during COVID-19: A Real Case in Iran |
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