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An integrated blood supply chain network design during a pandemic.

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Title: An integrated blood supply chain network design during a pandemic.
Authors: Yang, Hengfei1 (AUTHOR), Yin, Yunqiang2 (AUTHOR), Wang, Dujuan1 (AUTHOR) djwang@scu.edu.cn, Cheng, T.C.E.3 (AUTHOR), Zhang, Ruisan1 (AUTHOR), Hu, Hai4 (AUTHOR)
Source: International Journal of Production Research. May2025, Vol. 63 Issue 9, p3384-3409. 26p.
Subjects: Blood groups, Subgradient methods, Stochastic programming, Supply chains, Heuristic
Abstract: The emergency supply of blood in the wake of pandemic has proved challenging. We develop in this paper a bi-objective blood supply chain (BSC) model that uses two-stage stochastic optimisation to optimise the expected cost of the supply chain and the average blood delivery time when a pandemic occurs. The model considers not only vertically and horizontally integrated mechanisms of the BSC network, but also several specific assumptions about the pandemic, such as the risk of disruption in donor groups, and the restriction of 'no cross blood donation'. To alleviate blood shortages in the context of a pandemic, we further extended our model, which allows for blood type substitution according to ABO/Rh(d)-compatibility. To efficiently solve the model and generate the Pareto front, we develop a hybrid solution algorithm to solve the proposed model, including the ε-constraint method to transform the bi-objective model into a single-objective model, the subgradient method for finding a lower bound, and two heuristic methods for finding an upper bound. Moreover, we perform extensive numerical studies to assess the performance of the proposed approach. We also discuss the impacts of the key parameters, integration mechanisms, and planning blood type substitution on the BSC. Finally, we also apply the proposed model to a real case study of the BSC in Chongqing, China. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: An integrated blood supply chain network design during a pandemic.
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  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Hengfei%22">Yang, Hengfei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yin%2C+Yunqiang%22">Yin, Yunqiang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Dujuan%22">Wang, Dujuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> djwang@scu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Cheng%2C+T%2EC%2EE%2E%22">Cheng, T.C.E.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Ruisan%22">Zhang, Ruisan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Hai%22">Hu, Hai</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. May2025, Vol. 63 Issue 9, p3384-3409. 26p.
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  Data: <searchLink fieldCode="DE" term="%22Blood+groups%22">Blood groups</searchLink><br /><searchLink fieldCode="DE" term="%22Subgradient+methods%22">Subgradient methods</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+programming%22">Stochastic programming</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chains%22">Supply chains</searchLink><br /><searchLink fieldCode="DE" term="%22Heuristic%22">Heuristic</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The emergency supply of blood in the wake of pandemic has proved challenging. We develop in this paper a bi-objective blood supply chain (BSC) model that uses two-stage stochastic optimisation to optimise the expected cost of the supply chain and the average blood delivery time when a pandemic occurs. The model considers not only vertically and horizontally integrated mechanisms of the BSC network, but also several specific assumptions about the pandemic, such as the risk of disruption in donor groups, and the restriction of 'no cross blood donation'. To alleviate blood shortages in the context of a pandemic, we further extended our model, which allows for blood type substitution according to ABO/Rh(d)-compatibility. To efficiently solve the model and generate the Pareto front, we develop a hybrid solution algorithm to solve the proposed model, including the ε-constraint method to transform the bi-objective model into a single-objective model, the subgradient method for finding a lower bound, and two heuristic methods for finding an upper bound. Moreover, we perform extensive numerical studies to assess the performance of the proposed approach. We also discuss the impacts of the key parameters, integration mechanisms, and planning blood type substitution on the BSC. Finally, we also apply the proposed model to a real case study of the BSC in Chongqing, China. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/00207543.2024.2396511
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      – Code: eng
        Text: English
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        PageCount: 26
        StartPage: 3384
    Subjects:
      – SubjectFull: Blood groups
        Type: general
      – SubjectFull: Subgradient methods
        Type: general
      – SubjectFull: Stochastic programming
        Type: general
      – SubjectFull: Supply chains
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      – SubjectFull: Heuristic
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      – TitleFull: An integrated blood supply chain network design during a pandemic.
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            NameFull: Yang, Hengfei
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            NameFull: Yin, Yunqiang
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            NameFull: Wang, Dujuan
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            NameFull: Cheng, T.C.E.
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            NameFull: Zhang, Ruisan
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            – D: 01
              M: 05
              Text: May2025
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              Y: 2025
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