Blood platelet inventory management with protection levels

Civelek, Ismail; Karaesmen, Itır Z.; Scheller‐Wolf, Alan

doi:10.1016/j.ejor.2015.01.023

Cited by 84 publications

(79 citation statements)

References 45 publications

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“…In particular, Abdulwahab and Wahab used news‐vendor model to handle the order‐quantity decision, and considered both the reward of using newer blood and the penalty of substituting the same blood type with the suitable blood type. 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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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: Introductionmentioning

confidence: 99%

Optimal collecting policy for apheresis platelets in a regional blood center

et al. 2019

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“…() and Civelek et al. () . In practice, unsatisfied demand, especially case demand, may be satisfied through transshipment among hospital blood blanks.…”

Section: Problem Definition and Model Formulationmentioning

confidence: 99%

Joint Decisions for Blood Collection and Platelet Inventory Control

Chen

Zhou

2019

Production and Operations Management

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The present study investigates the benefit of joint decision making regarding whole blood collection and platelet production at a blood center. We consider a blood center that faces two types of platelet demands, differing in their freshness requirements and shortage penalty costs. We fully characterize the structure of the optimal policy regarding whole blood collection, platelet production, and inventory issuing, rationing and disposal. We find that the optimal platelet production quantity in each period is nonincreasing in the inventory levels of platelets and whole blood but that interestingly, the optimal blood collection effort may increase with the on‐hand platelet inventory level. We demonstrate with a real dataset that joint decision making leads to significant cost savings compared with separate decision making. The benefit is mainly derived from reduced blood collection and platelet production, better utilization of the collected whole blood, and reduced platelet shortage. For practical implementation, we develop a lookahead heuristic, which is shown to be very effective by numerical experiments.

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“…Their engagement has resulted in several papers, (c.f., (Bar-Lev et al, 2009;2017;2017a;2017b;Bar-Lev and Perry, 1989;Bar-Lev et al, 2005;2007;2013;. Other works can be found in (Abolnikov and Dukhovny, 2003;Kopach et al, 2008;Beliën and Forcé, 2012;Civelek et al, 2015;Ghandforoush and Sen, 2010;Karaesmen et al, 2011;Marshall et al, 2004;Sebastian et al, 2012;Shi and Zhao, 2010;Deniz et al, 2010;Blake and Hardy, 2014;Xie et al, 2012). The aim in those paper was to develop comprehensive inventory control and group testing models that incorporate the key features of a CBS and a hospital blood bank.…”

Section: Some Research Work Related To the Stochastic Approachmentioning

confidence: 99%

A Stochastic Approach to Blood Supply, Demand and Screening in Central Blood Banks - A Review

Bar‐Lev¹

2017

Current Research in Biostatistics

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Abstract:One of the major issues in securing blood supply to patients worldwide is to provide blood of the best achievable quality, in the needed quantities. Central Blood Services (CBS's) worldwide are daily faced with the problem how to satisfy demands for blood from various hospitals. These hospitals, in their turn, are faced with the problem how to satisfy demands for blood from their patients. To solve these problems in a costeffective way is notoriously difficult, because (i) the amounts of available blood and of blood demand are random, (ii) blood can only be used during a limited amount of time, (iii) one must distinguish various blood components (red blood cells, plasma and platelets) with different associated costs and perishability and (iv) one must distinguish persons with different blood types (like AB + and O − ) with different capabilities to act as donor or as recipient. In this review paper we provide the subject background, describing the blood characteristics and the operation of CBS and hospital blood banks. In particular we describe blood demand, blood components and blood types. We depict blood screening procedures and their processing times and provide with some real data. Particularly we describe a stochastic approach to blood screening and inventory. An emphasis will be given to inventory management and blood allocation, stochastic imput-output of the inventory system and some cost functions involved.

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Blood platelet inventory management with protection levels

Cited by 84 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

Joint Decisions for Blood Collection and Platelet Inventory Control

A Stochastic Approach to Blood Supply, Demand and Screening in Central Blood Banks - A Review

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