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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Vydáno v:Discrete dynamics in nature and society Ročník 2022; číslo 1
Hlavní autor: Baghbani, Bijan
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Hindawi 2022
John Wiley & Sons, Inc
Wiley
Témata:
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
Iran
ISSN:1026-0226, 1607-887X
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1026-0226
1607-887X
DOI:10.1155/2022/3783119