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Process capability estimation for leukocyte filtering process in blood service: a comparison study

Hosseinifard, Z., Abbasi, B. and Niaki, S. T. A. 2014, Process capability estimation for leukocyte filtering process in blood service: a comparison study, IIE transactions on healthcare systems engineering, vol. 4, no. 4, pp. 167-177, doi: 10.1080/19488300.2014.965393.

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Title Process capability estimation for leukocyte filtering process in blood service: a comparison study
Author(s) Hosseinifard, Z.
Abbasi, B.
Niaki, S. T. A.
Journal name IIE transactions on healthcare systems engineering
Volume number 4
Issue number 4
Start page 167
End page 177
Total pages 11
Publisher Taylor & Francis
Place of publication Abingdon, Eng.
Publication date 2014
ISSN 1948-8300
1948-8319
Keyword(s) quality engineering in healthcare
PCI
blood service
leukocyte filtering
non-normality
Summary This article considers a comparison study between different non-normal process capability estimation methods and utilizing themin the leukocyte filtering process in blood service sectors. Since the amount of leukocyte in a unit of the blood is a critical issue inthe blood transfusion process and patient safety, estimating and monitoring the capability of the leukocyte filtering process to meetthe target window is very important for blood service sectors. However, observed data from the leukocyte filtering process showthat the leukocyte levels after filtering demonstrate a right skewed distribution and applying conventional methods with a normalityassumption fails to provide trustful results. Hence, we first conduct a simulation study to compare different methods in estimating theprocess capability index of non-normal processes and then we apply these techniques to obtain the process capability of the leukocytefiltering process. The study reveals that the Box-Cox transformation method provides reliable estimation of the process capability ofthe leukocyte filtering process.
Language eng
DOI 10.1080/19488300.2014.965393
Field of Research 150302 Business Information Systems
010401 Applied Statistics
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, IIE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30084879

Document type: Journal Article
Collection: Department of Information Systems and Business Analytics
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