Literature DB >> 21128949

Model for blood collections management.

Harshal Lowalekar1, N Ravichandran.   

Abstract

BACKGROUND: A typical blood bank gets its major supply of blood from organizing blood donation camps. The quantity of blood collected in the blood donation drives is random and it might be sensible to cut off the supply at some level to reduce the wastages by overcollection. STUDY DESIGN AND METHODS: In this paper we introduce two new cutoff level policies and compare their performance with the policy of collecting all the available supply at blood collection drives, which is quite prevalent among the blood banks. We develop a simulation model for collection that enables such comparison on the basis of shortages, wastages, and total costs. RESULTS AND
CONCLUSION: The results obtained from the simulation model for a real-life situation show that the cutoff level policies are better than the unrestricted collection policy in controlling total costs. They also result in less wastage in the system for a given level of shortages.
© 2010 American Association of Blood Banks.

Mesh:

Year:  2010        PMID: 21128949     DOI: 10.1111/j.1537-2995.2010.02944.x

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.157


  3 in total

1.  Simulation-optimization model for production planning in the blood supply chain.

Authors:  Andres F Osorio; Sally C Brailsford; Honora K Smith; Sonia P Forero-Matiz; Bernardo A Camacho-Rodríguez
Journal:  Health Care Manag Sci       Date:  2016-06-04

2.  Cost-effectiveness of alternative minimum recall intervals between whole blood donations.

Authors:  Zia Sadique; Sarah Willis; Kaat De Corte; Mark Pennington; Carmel Moore; Stephen Kaptoge; Emanuele Di Angelantonio; Gail Miflin; David J Roberts; Richard Grieve
Journal:  PLoS One       Date:  2022-08-17       Impact factor: 3.752

3.  Cost-effectiveness of alternative changes to a national blood collection service.

Authors:  S Willis; K De Corte; J A Cairns; M Zia Sadique; N Hawkins; M Pennington; G Cho; D J Roberts; G Miflin; R Grieve
Journal:  Transfus Med       Date:  2018-05-16       Impact factor: 2.019

  3 in total

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