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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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Main Authors: Achini, Wellalage, Mark, Fackrell, Lele, Zhang
Format: Book
Language:English
Published: Springer 2023
Subjects:
Australian Red Cross Lifeblood
Monte Carlo simulation-based
Online Access:https://link.springer.com/article/10.1007/s10479-023-05297-3
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8382
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spelling oai:localhost:PNK-83822023-05-04T03:11:36Z A Monte Carlo simulation-based simulated annealing algorithm for predicting the minimum staffing requirement at a blood donor centre Achini, Wellalage Mark, Fackrell Lele, Zhang Australian Red Cross Lifeblood Monte Carlo simulation-based CC BY Australian Red Cross Lifeblood collects blood from non-remunerated voluntary donors. Thus, it is important to ensure that donors experience good service so they will return to donate blood again. Donor experience is adversely influenced by prolonged waiting times, but they may be reduced by determining the staffing demand over the day. In this paper, we propose a Monte-Carlo simulation-based simulated annealing algorithm that seeks the minimum number of employees to meet demand over a single day while ensuring the system’s predicted average waiting time does not exceed a specified threshold. To enhance the efficiency of our simulated annealing algorithm, we develop a novel neighbourhood search method based on the staff occupancy levels. We use data from four different Australian Red Cross Lifeblood donor centres, demonstrating that our methodology can be adapted to any donor centre to determine the minimum staffing demand. Since these staffing demands ensure the donor waiting time target is met for each donor centre, they have the potential to improve both donor and staff satisfaction as well as streamline the donor flow. 2023-05-04T03:11:36Z 2023-05-04T03:11:36Z 2023 Book https://link.springer.com/article/10.1007/s10479-023-05297-3 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8382 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Australian Red Cross Lifeblood
Monte Carlo simulation-based
spellingShingle Australian Red Cross Lifeblood
Monte Carlo simulation-based
Achini, Wellalage
Mark, Fackrell
Lele, Zhang
A Monte Carlo simulation-based simulated annealing algorithm for predicting the minimum staffing requirement at a blood donor centre
description CC BY
format Book
author Achini, Wellalage
Mark, Fackrell
Lele, Zhang
author_facet Achini, Wellalage
Mark, Fackrell
Lele, Zhang
author_sort Achini, Wellalage
title A Monte Carlo simulation-based simulated annealing algorithm for predicting the minimum staffing requirement at a blood donor centre
title_short A Monte Carlo simulation-based simulated annealing algorithm for predicting the minimum staffing requirement at a blood donor centre
title_full A Monte Carlo simulation-based simulated annealing algorithm for predicting the minimum staffing requirement at a blood donor centre
title_fullStr A Monte Carlo simulation-based simulated annealing algorithm for predicting the minimum staffing requirement at a blood donor centre
title_full_unstemmed A Monte Carlo simulation-based simulated annealing algorithm for predicting the minimum staffing requirement at a blood donor centre
title_sort monte carlo simulation-based simulated annealing algorithm for predicting the minimum staffing requirement at a blood donor centre
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10479-023-05297-3
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8382
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score 8.891695

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