Staff scheduling in blood collection problems

Xiang Li, Haoyue Fan, Jiaming Liu () and Qifeng Xun
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Xiang Li: Beijing University of Chemical Technology
Haoyue Fan: Beijing University of Chemical Technology
Jiaming Liu: Beijing University of Chemical Technology
Qifeng Xun: University of Chinese Academy of Science

Annals of Operations Research, 2022, vol. 316, issue 1, No 14, 365-400

Abstract: Abstract To improve the blood collection volume and reduce the staff costs, this study investigates the staff scheduling problem faced by blood donation center under variant situations derived from reality. Staff scheduling for blood donation center is a complex task due to the stochastic arriving of blood donors. In this study, we propose the deterministic demand model and stochastic demand model of blood donors according to the number of donors arriving at donation sites. Then, based on the deterministic demand and the stochastic demand models, we consider the number of staff in the blood donation center and group blood donation. Five blood collection scenarios are proposed using the combination of donors and staff. To solve the proposed models, linear transformation and lexicographic order optimal method are applied. To verify the effectiveness of the proposed models, both large-scale and small-scale numerical experiments are conducted and its the stability is also validated using the 10 times of random numerical experiments. All of the experimental results show that the proposed models need few staff when facing adequate staff scenarios, and reduce the number of donors when facing inadequate staff scenarios.

Keywords: Staff scheduling; Blood collection; Stochastic demand; Staff transfer (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10479-020-03688-4

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