Blood supply chain network design considering blood group compatibility under uncertainty

Zahiri, Behzad; Pishvaee, Mir Saman

doi:10.1080/00207543.2016.1262563

Cited by 148 publications

(64 citation statements)

References 39 publications

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“…Design of the blood supply chain has gained importance in recent years, with several publications focusing on building better blood networks under differing conditions, such as disasters , uncertainty and the requirement to meet social aspects . The main approach used is optimization; however, simulation has also been used to support network design decisions .…”

Section: Introductionmentioning

confidence: 99%

Designing the blood supply chain: how much, how and where?

et al. 2018

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Section: Introductionmentioning

confidence: 99%

Designing the blood supply chain: how much, how and where?

et al. 2018

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“…In addition to optimizing the inventory of RBCs, Duan and Liao (2014) tackle the issue of blood group compatibility and substitution, while Dillon, Oliveira, and Abbasi (2017) use stochastic programming to deal with the uncertainty in the demand for blood. Other recent papers that incorporate the stochastic nature of demand for blood products in their models include those by Nagurney, Masoumi, and Yu (2012), Fortsch and Khapalova (2016), Zahiri and Pishvaee (2017), and Najafi, Ahmadi and Zolfagharinia (2017), Ramezanian and Behboodi (2017). While Fortsch and Khapalova (2016) tested various forecasting techniques to better predict the demand for blood at the blood centers to reduce the uncertainty regarding the demand for blood, Najafi, Ahmadi and Zolfagharinia (2017) developed a bi-objective integer programming model for blood inventory management that provides solutions for handling issues of shortage and wastage by allowing transshipment between hospitals.…”

Section: Literature Reviewmentioning

confidence: 99%

The COVID-19 Pandemic and the Stressed Blood Supply Chain

2020

May/June 2020

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In this paper, we present a multitiered competitive supply chain network model for the blood banking industry, with a focus on the United States, that captures the economic interactions between three tiers of stakeholders; namely, the blood service organizations, the hospitals or medical centers, which transfuse blood to patients, and the payer groups that patients belong to. In addition, the supply chain framework for this life-saving product includes the competition among blood service organizations and their various supply chain activities. We model the behavior of each category of stakeholder and use the theory of variational inequalities to derive the equilibrium conditions for the entire supply chain. Illustrative examples are provided, along with qualitative properties, followed by an algorithm, accompanied by convergence results, that is used to solve simulated numerical examples. Results from these examples demonstrate that such a model can be effectively used to determine the prices and blood pathways from blood service organizations to hospitals to payers.

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“…On top of economic losses, this research investigates the other possible downside of the overcollection which occurs due to the unavailability of repeat donors in phase III. Various mathematical models have been used to address network design problem (location of collection centers and movement of blood units from centers to demand points) of a blood supply chain in disasters (for examples, refer to Jabbarzadeh, Fahimnia, & Seuring, ; Fahimnia, Jabbarzadeh, Ghavamifar, & Bell, ; and Zahiri & Pishvaee, ).…”

Section: Literature Reviewmentioning

confidence: 99%

Postdisaster Volatility of Blood Donations in an Unsteady Blood Supply Chain*

et al. 2019

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The stochastic behavior of both transfusion (demand) and blood donations (collection) is a challenge for the blood supply chain. Although donations are not fully within the control of blood supply chain, the blood service can marginally moderate it by postponing appointments in the case of having an overstock, or by triggering a call for additional blood when faced with shortages. Such shortages are often observed as a consequence of catastrophic events. Past studies show that the response to a call for blood after a disaster is substantive. Yet the consequential impact on the supply chain is not well understood. This is due to the perishability of blood and the fact that donors are not eligible to give blood for a certain period after a donation has been made. In this study, the donation process is modeled with a Markov chain and the impact of a call for blood resulting from a disaster is investigated. This article highlights new actionable insights that aid planners to mitigate the negative impacts of a substantial response to a call for blood.

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Blood supply chain network design considering blood group compatibility under uncertainty

Cited by 148 publications

References 39 publications

Designing the blood supply chain: how much, how and where?

Designing the blood supply chain: how much, how and where?

The COVID-19 Pandemic and the Stressed Blood Supply Chain

Postdisaster Volatility of Blood Donations in an Unsteady Blood Supply Chain*

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