Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals

Gunpinar, Serkan; Centeno, Grisselle

doi:10.1016/j.cor.2014.08.017

Cited by 132 publications

(57 citation statements)

References 45 publications

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“…The decision faced by the managers of Taipei Blood Center is considerably different from those discussed in either van Dijk et al , Haijema et al , Blake et al , or Gunpinar and Centeno , where the researchers focused either on the production and inventory of random donor platelets or on ordering policy of the hospital blood banks. Previous models focus more on determining the quantity of platelet concentrates need to be produced or ordered on each day, while the model discussed in this study emphasizes on setting a target for collection to help the blood center better schedule the appointments for apheresis platelet donation.…”

Section: Methodsmentioning

confidence: 92%

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Optimal collecting policy for apheresis platelets in a regional blood center

et al. 2019

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Background and objectives Planning platelet collection and inventory must rely not only on adequate forecasts of transfusion demand but also sophisticated mathematical modeling techniques. This research aims to develop a better demand forecasting model of apheresis platelets and a mathematical programming model to determine the best target amounts of apheresis platelet collection. Materials and methods Time series data of apheresis platelets collected from donors and platelets supplied to hospitals daily in Taipei Blood Center from January 2014 to December 2015 was used to fit a forecasting model which combines a regression‐type model for formulating the deterministic trends and seasonal variation and an autoregressive moving average model (ARMA) for explaining remaining serial correlations. A seasonal autoregressive integrated moving average (SARIMA) model was also used for benchmarking the prediction performance. A linear programming model was then formulated to solve for the optimal daily target collection volumes that maximize the total social benefits. Results The time series model achieved good predictive power with a mean absolute percentage error less than 10%. The appropriateness of the proposed target collection volumes was also verified by using a simulation model, and the proportion of the total platelets requested by hospitals that can be filled by collected apheresis platelets can increase significantly by using the new policy. Conclusion The methods proposed in this study can be easily implemented to enhance the management efficiency of blood collecting and supplying of a blood center, and to decrease the costs of the blood outdates and shortages.

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Section: Methodsmentioning

confidence: 92%

“…Similarly, Civelek et al used a heuristic approach to derive the platelet inventory management policy where the newest items are protected for future use by limiting some substitutions. Mathematical simulation or stochastic integer programming were also implemented by researchers to decide the platelet concentrate units each day .…”

Section: Introductionmentioning

confidence: 99%

Optimal collecting policy for apheresis platelets in a regional blood center

et al. 2019

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“…14-16 have explicit non-linear terms that could be rewritten into linear forms with the help of a technique introduced in Appendix B (Gunpinar & Centeno, 2015). After the linearization technique is applied, the interactions between discrete and binary variables are replaced with auxiliary variables TT1, TT2, TT3, and TT4 defined below.…”

Section: Linearization Methodsmentioning

confidence: 99%

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

et al. 2017

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Abstract:Resource sharing, as a coordination mechanism, can mitigate disruptions in supply and changes in demand. It is particularly crucial for platelets because they have a short lifespan and need to be transferred and allocated within a limited time to prevent waste or shortages. Thus, a coordinated model comprised of a mixed vertical-horizontal structure, for the logistics of platelets, is proposed for disaster relief operations in the response phase. The aim of this research is to reduce the wastage and shortage of platelets due to their critical role in wound healing. We present a biobjective location-allocation robust possibilistic programming model for designing a two-layer coordinated organization strategy for multi-type blood-derived platelets under demand uncertainty. Computational results, derived using a heuristic -constraint algorithm, are reported and discussed to show the applicability of the proposed model. The experimental results indicate that surpluses and shortages in platelets remarkably declined following instigation of a coordinated disaster relief operation.

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“…However, for some patient groups fresh platelets increase survival rates [104], [68] and therefore some papers use different issuing policies. One way to this is to make a difference between 'young' and 'old'/'any' platelets [50], [100]. Moreover, whereas Gunpinar and Centeno [100] looked at the inventory management of hospitals they incorporated a cross-match-to-transfusion ratio and the cross-match release period in their models.…”

Section: Plateletsmentioning

confidence: 99%

“…One way to this is to make a difference between 'young' and 'old'/'any' platelets [50], [100]. Moreover, whereas Gunpinar and Centeno [100] looked at the inventory management of hospitals they incorporated a cross-match-to-transfusion ratio and the cross-match release period in their models. Civelek et al [51] shortened the maximum shelf life of the platelets to three days and classified them as 'young', 'mature', and 'old'.…”

Section: Plateletsmentioning

confidence: 99%

Bloody fast blood collection

Brummelen¹,

Josephus²

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Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals

Cited by 132 publications

References 45 publications

Optimal collecting policy for apheresis platelets in a regional blood center

Optimal collecting policy for apheresis platelets in a regional blood center

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

Bloody fast blood collection

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