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A Monte Carlo simulation-based simulated annealing algorithm for predicting the minimum staffing requirement at a blood donor centre.

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Title: A Monte Carlo simulation-based simulated annealing algorithm for predicting the minimum staffing requirement at a blood donor centre.
Authors: Wellalage, Achini1, aerandi@student.unimelb.edu.au, Fackrell, Mark1, Zhang, Lele1
Source: Annals of Operations Research; Nov2024, Vol. 342 Issue 3, p1945-1990, 46p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 181119127
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PubType: Academic Journal
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  Data: A Monte Carlo simulation-based simulated annealing algorithm for predicting the minimum staffing requirement at a blood donor centre.
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  Data: <searchLink fieldCode="AU" term="%22Wellalage%2C+Achini%22">Wellalage, Achini</searchLink><relatesTo>1</relatesTo>, <i>aerandi@student.unimelb.edu.au</i><br /><searchLink fieldCode="AU" term="%22Fackrell%2C+Mark%22">Fackrell, Mark</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Lele%22">Zhang, Lele</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>; Nov2024, Vol. 342 Issue 3, p1945-1990, 46p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181119127
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      – Type: doi
        Value: 10.1007/s10479-023-05297-3
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      – Code: eng
        Text: English
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        PageCount: 46
        StartPage: 1945
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      – TitleFull: A Monte Carlo simulation-based simulated annealing algorithm for predicting the minimum staffing requirement at a blood donor centre.
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            NameFull: Wellalage, Achini
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            NameFull: Fackrell, Mark
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            NameFull: Zhang, Lele
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            – D: 20
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              Text: Nov2024
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              Y: 2024
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              Value: 342
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