Blood supply chain configuration and optimization under the COVID-19 using benders decomposition based heuristic algorithm

Abdolazimi, Omid; Pishvaee, Mir Saman; Shafiee, Mohammad; Shishebori, Davood; Ma, Junfeng; Entezari, Sarah

doi:10.1080/00207543.2023.2263088

Cited by 8 publications

(1 citation statement)

References 61 publications

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“…On the other hand, people who have recovered from COVID-19 develop natural defence systems against this disease in their blood. Terefore, the blood plasma of these people contains COVID-19 antibodies, which can be used to prepare the plasma product of recovered people for the treatment of other COVID-19 patients [4]. Nevertheless, the statistics indicated that only 1.88% of those who recovered donated their blood plasma.…”

Section: Introductionmentioning

confidence: 99%

A Two-Objective Model for the Multilevel Supply Chain of Blood Products with the Approach of Reducing the Rate of Contagion under the (COVID-19) Epidemic Outbreak Conditions

Esfandabadi,

Shishebori,

Fakhrzad

et al. 2024

Journal of Mathematics

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The conditions of the coronavirus epidemic have put much pressure on the healthcare system. This disease has hurt the blood supply through the reduction of blood donation and the reduction of access to suitable collection facilities due to dysfunction. Considering the importance of the subject, the purpose of this paper is to design a two-level supply chain network for blood products with the approach of reducing costs and the rate of contagion under the conditions of epidemic outbreaks (COVID-19). After examining the solution methods for multilevel supply chain networks of blood products under the conditions of the spread of the COVID-19 virus, three exact solution methods, including LP-metric, an improved version of the augmented ε-constraint (AUGMECON2), and an improved weighted Chebyshev, are proposed. They are used to solve the model in small dimensions. In order to compare the methods in the obtained solutions, several numerical examples of different sizes are generated and solved. Then, using the statistical assumption test, the obtained results are compared in all numerical examples by Tukey’s technique. Also, the TOPSIS is applied to select the best method. Finally, in order to investigate the reaction of the objectives to the changes in the contagion probability parameter, a sensitivity analysis has been performed. The results emphasize that improving the performance of the blood supply chain (BSC) can lead to a reduction in BSC costs and improved service to patients. Also, the adaptation of different components of the BSC and regular coordination between them play an efficient role in controlling and improving this disease and reducing the costs of the BSC. Also, receiving the plasma product of recovered people from type (II) donors can play a vital role in reducing the percentage of disease transmission.

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Section: Introductionmentioning

confidence: 99%

A Two-Objective Model for the Multilevel Supply Chain of Blood Products with the Approach of Reducing the Rate of Contagion under the (COVID-19) Epidemic Outbreak Conditions

Esfandabadi,

Shishebori,

Fakhrzad

et al. 2024

Journal of Mathematics

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Developing a multi-objective model for a multi-level supply chain of blood products under uncertainty and the global pandemic: a hybrid robust optimization approach

Esfandabadi,

Shishebori,

fakhrzad

et al. 2024

Discov Appl Sci

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The global COVID-19 pandemic has caused a substantial decrease in the blood supply and its products as a vital commodity. It has had adversely affected on the activities of blood organizations and facilities as well as public health. In this critical situation, the particular supply and blood demand products have affected certain sensitive managerial decisions. The purpose of the present study is to develop a multi-objective formulation for a multi-level supply chain of blood products under uncertainty and global pandemic conditions. The modeling is based on three objectives: minimizing the costs of the entire blood supply chain network, minimizing the pandemic virus transmission by donors in each of the blood donation centers, and maximizing the attractiveness of the blood donation centers in order to optimize the blood supply chain conditions and meet the needs of patients in the best possible way. Besides, since uncertainty is an integral part of supply chains, an efficient combination of scenarios, intervals and fuzzy robust optimization approaches is applied. As the results show, using robust approaches to deal with uncertain parameters can provide excellent conditions for efficient responses to those who demand blood products as well as pandemic patients who need the plasma of survivors.

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A Bi-objective stochastic blood type supply chain configuration and optimization considering time-dependent routing in post-disaster relief logistics

Entezari,

Abdolazimi,

Fakhrzad

et al. 2024

Computers & Industrial Engineering

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Blood supply chain configuration and optimization under the COVID-19 using benders decomposition based heuristic algorithm

Cited by 8 publications

References 61 publications

A Two-Objective Model for the Multilevel Supply Chain of Blood Products with the Approach of Reducing the Rate of Contagion under the (COVID-19) Epidemic Outbreak Conditions

A Two-Objective Model for the Multilevel Supply Chain of Blood Products with the Approach of Reducing the Rate of Contagion under the (COVID-19) Epidemic Outbreak Conditions

Developing a multi-objective model for a multi-level supply chain of blood products under uncertainty and the global pandemic: a hybrid robust optimization approach

A Bi-objective stochastic blood type supply chain configuration and optimization considering time-dependent routing in post-disaster relief logistics

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