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多目标定位-分布优化在血液供应链中的应用：土耳其的一个案例研究。

Multi-objective location-distribution optimization in blood supply chain: an application in Turkiye.

机构信息

Department of Industrial Engineering, The University of Turkish Aeronautical Association, Ankara, 06790, Turkey.

Department of Industrial Engineering, Gazi University, Ankara, 06570, Turkey.

出版信息

BMC Public Health. 2024 Nov 15;24(1):3181. doi: 10.1186/s12889-024-20647-x.

DOI:10.1186/s12889-024-20647-x
PMID:39543531
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11566280/
Abstract

PURPOSE

Blood donors are crucial in maintaining the blood supply chain. This study aims to improve the location and distribution of blood donation centers by focusing on two main objectives: minimizing costs and maximizing quality. Minimizing costs includes setting up and transporting blood efficiently while maximizing quality to ensure that blood products are delivered to hospitals promptly and in the right quantities.

METHODS

A multi-objective mathematical model is proposed to address the placement of both fixed and mobile blood donation centers. The first objective focuses on minimizing the costs of setting up centers and transporting blood. The second objective aims to maximize quality by ensuring timely deliveries and meeting hospitals' blood demand. The model utilizes real-world traffic and blood donation data from urban settings to simulate its effectiveness and applicability in practice. The model uses the constraint method to optimize both objectives simultaneously.

RESULTS

The model was tested in various scenarios, optimizing cost and quality separately. The algorithm determined the ideal locations for blood donation centers to meet demand by exploring different options. It also accounted for factors that reduce quality, such as delayed deliveries and product returns, and showed that these issues could be minimized.

CONCLUSION

This study highlights the need to balance cost and quality when determining the locations of blood donation centers. Using the constraint method, the model successfully optimized both objectives, offering valuable insights for improving the efficiency and effectiveness of blood donation operations.

摘要

目的

献血者在维持血液供应链中起着至关重要的作用。本研究旨在通过关注两个主要目标来改进献血中心的位置和分布：最小化成本和最大化质量。最小化成本包括高效地设置和运输血液，同时最大化质量以确保血液产品及时并按正确数量送达医院。

方法

提出了一个多目标数学模型，以解决固定和移动献血中心的位置问题。第一个目标侧重于最小化中心设置和血液运输成本。第二个目标旨在通过确保及时交付和满足医院的血液需求来最大化质量。该模型利用城市环境中的实际交通和献血数据来模拟其在实践中的有效性和适用性。模型使用约束方法同时优化这两个目标。

结果

该模型在各种场景下进行了测试，分别优化了成本和质量。该算法通过探索不同的选择，确定了献血中心的理想位置以满足需求。它还考虑了降低质量的因素，如延迟交付和产品退货，并表明这些问题可以最小化。

结论

本研究强调了在确定献血中心位置时需要平衡成本和质量。使用约束方法，该模型成功地优化了这两个目标，为提高献血操作的效率和效果提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/d035982086a2/12889_2024_20647_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/9caa5f17c0dd/12889_2024_20647_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/3199ae623023/12889_2024_20647_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/242df35e2c57/12889_2024_20647_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/2385e11973e4/12889_2024_20647_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/ecd05585b720/12889_2024_20647_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/f4af05b17814/12889_2024_20647_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/d035982086a2/12889_2024_20647_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/9caa5f17c0dd/12889_2024_20647_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/3199ae623023/12889_2024_20647_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/8c1a8b56d9ae/12889_2024_20647_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/242df35e2c57/12889_2024_20647_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/2385e11973e4/12889_2024_20647_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/ecd05585b720/12889_2024_20647_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/f4af05b17814/12889_2024_20647_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a4/11566280/d035982086a2/12889_2024_20647_Fig8_HTML.jpg

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A robust optimization model for multi-objective blood supply chain network considering scenario analysis under uncertainty: a multi-objective approach.一种考虑不确定性情景分析的多目标血液供应链网络鲁棒优化模型：一种多目标方法。
Sci Rep. 2024 Apr 24;14(1):9452. doi: 10.1038/s41598-024-57521-0.
3
Blood donation projections using hierarchical time series forecasting: the case of Zimbabwe's national blood bank.
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BMC Public Health. 2024 Apr 1;24(1):928. doi: 10.1186/s12889-024-18185-7.
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Medicines and vaccines supply chains challenges in Nigeria: a scoping review.尼日利亚药品和疫苗供应链面临的挑战：范围综述。
BMC Public Health. 2022 Jan 5;22(1):11. doi: 10.1186/s12889-021-12361-9.
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Re-design of a blood supply chain organization with mobile units.采用移动单元对血液供应链组织进行重新设计。
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Assessment of factors affecting vaccine cold chain management practice in public health institutions in east Gojam zone of Amhara region.评估东戈贾姆地区阿姆哈拉地区公共卫生机构中影响疫苗冷链管理实践的因素。
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