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

Major challenges in the management of the blood supply chain are related to the shortage and wastage of the blood products. Given the perishable characteristics of this product, storing an excessive number of blood units on inventory could result on the wastage of this limited resource. On the other...

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Published in:	Computers & operations research Vol. 54; pp. 129 - 141
Main Authors:	Gunpinar, Serkan, Centeno, Grisselle
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01.02.2015 Pergamon Press Inc
Subjects:	Blood Blood & organ donations Blood products Cost engineering Cost reduction Demand Health care application Hospitals Integer programming Mathematical models Medical wastes Optimization Patients Perishable inventory Shortages Stochastic models Stochasticity Studies Supply chain Waste disposal Supply chain Integer programming Health care application Perishable inventory Blood products Optimization
ISSN:	0305-0548, 1873-765X, 0305-0548
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Abstract	Major challenges in the management of the blood supply chain are related to the shortage and wastage of the blood products. Given the perishable characteristics of this product, storing an excessive number of blood units on inventory could result on the wastage of this limited resource. On the other hand, having shortages may result in cancellations of critical health related activities and as a result a potential increase on fatality rates at hospitals. This paper presents integer programming models to minimize the total cost, shortage and wastage levels of blood products at a hospital within a planning horizon. The primary focus is on the red blood cells and the platelet components of the whole blood cells. The stochastic and deterministic models included consider uncertain demand rates, demand for two types of patients, and crossmatch-to-transfusion ratio. Results show wastage rates decreasing from 19.9% to 2.57% on average. In addition, the shortages and total cost are reduced 91.43% and 20.7% respectively for a given capacity increases. Computational results are included and discussed.
AbstractList	Major challenges in the management of the blood supply chain are related to the shortage and wastage of the blood products. Given the perishable characteristics of this product, storing an excessive number of blood units on inventory could result on the wastage of this limited resource. On the other hand, having shortages may result in cancellations of critical health related activities and as a result a potential increase on fatality rates at hospitals. This paper presents integer programming models to minimize the total cost, shortage and wastage levels of blood products at a hospital within a planning horizon. The primary focus is on the red blood cells and the platelet components of the whole blood cells. The stochastic and deterministic models included consider uncertain demand rates, demand for two types of patients, and crossmatch-to-transfusion ratio. Results show wastage rates decreasing from 19.9% to 2.57% on average. In addition, the shortages and total cost are reduced 91.43% and 20.7% respectively for a given capacity increases. Computational results are included and discussed. Major challenges in the management of the blood supply chain are related to the shortage and wastage of the blood products. Given the perishable characteristics of this product, storing an excessive number of blood units on inventory could result on the wastage of this limited resource. On the other hand, having shortages may result in cancellations of critical health related activities and as a result a potential increase on fatality rates at hospitals. This paper presents integer programming models to minimize the total cost, shortage and wastage levels of blood products at a hospital within a planning horizon. The primary focus is on the red blood cells and the platelet components of the whole blood cells. The stochastic and deterministic models included consider uncertain demand rates, demand for two types of patients, and crossmatch-to-transfusion ratio. Results show wastage rates decreasing from 19.9% to 2.57% on average. In addition, the shortages and total cost are reduced 91.43% and 20.7% respectively for a given capacity increases. Computational results are included and discussed.
Author	Centeno, Grisselle Gunpinar, Serkan
Author_xml	– sequence: 1 givenname: Serkan surname: Gunpinar fullname: Gunpinar, Serkan email: serkan.gunpinar@gmail.com – sequence: 2 givenname: Grisselle orcidid: 0000-0001-9743-3897 surname: Centeno fullname: Centeno, Grisselle email: gcenteno@usf.edu
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SubjectTerms	Blood Blood & organ donations Blood products Cost engineering Cost reduction Demand Health care application Hospitals Integer programming Mathematical models Medical wastes Optimization Patients Perishable inventory Shortages Stochastic models Stochasticity Studies Supply chain Waste disposal
Title	Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals
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