Literature DB >> 7090035

Computer simulation analysis of blood donor queueing problems.

M L Pratt, A J Grindon.   

Abstract

A computer simulation model was used to study work flow and queueing problems in blood collection. Donor scheduling strategies, such as stream and block arrivals, were compared with random arrival at a constant hourly rate. Controlling donor queueing required keeping donor arrivals from exceeding the system capacity, rather than using any one type of scheduling strategy. However, widely uneven arrivals compared to even arrivals at the same input level caused protracted queueing. Because men have a shorter average phlebotomy processing time, time can be saved in some situations by scheduling mostly men at the beginning of a drive. Nursing utilization appears optimal at donor arrival rates at or near system capacity. Techniques may be available to modify the collection system to ameliorate or prevent queueing when donor arrivals appear to be excessive.

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Year:  1982        PMID: 7090035     DOI: 10.1046/j.1537-2995.1982.22382224948.x

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


  5 in total

1.  Discovering blood donor arrival patterns using data mining: a method to investigate service quality at blood centers.

Authors:  Murat Caner Testik; Banu Yuksel Ozkaya; Salih Aksu; Osman Ilhami Ozcebe
Journal:  J Med Syst       Date:  2010-05-18       Impact factor: 4.460

2.  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

3.  Modeling and simulation of blood collection systems.

Authors:  Edgar Alfonso; Xiaolan Xie; Vincent Augusto; Olivier Garraud
Journal:  Health Care Manag Sci       Date:  2011-11-03

4.  Optimizing donor scheduling before recruitment: An effective approach to increasing apheresis platelet collections.

Authors:  Parvez M Lokhandwala; Hiroko Shike; Ming Wang; Ronald E Domen; Melissa R George
Journal:  PLoS One       Date:  2018-05-30       Impact factor: 3.240

5.  A discrete-event simulation model for analysing and improving operations in a blood donation centre.

Authors:  Martina Doneda; Semih Yalçındağ; Inês Marques; Ettore Lanzarone
Journal:  Vox Sang       Date:  2021-05-06       Impact factor: 2.996

  5 in total

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