在灾难期间使用模糊的AHP和TOPSIS方法优化医疗保健供应链能力规划

Younes Ommane¹, Mohamed Lachgar^2,3, Mohamed Hanine⁴

¹Faculty of Medical Sciences (FMS), University Mohammed VI Polytechnic (UM6P), UM6P Hospitals, Bd My Rachid, 43150, Benguerir, Morocco. younes.ommane@um6p.ma.

Scientific reports

|October 9, 2025

概括

本研究使用模糊逻辑 (模糊AHP和模糊TOPSIS) 来改善在不确定性下医疗保健供应链能力规划. 模糊模型提高决策的稳定性,以便更好地分配资源和照顾患者.

科学领域:

医疗保健管理的管理
运营研究运营研究
决策科学决策科学决策科学

背景情况:

医疗保健供应链面临着严重的不确定性,影响能力规划.
准确的容量规划对于保持护理质量和控制成本至关重要.
传统方法与专家判断和波动的需求固有的模糊性作斗争.

研究的目的:

应用模糊分析层次过程 (AHP) 和模糊技术,以类似于理想解决方案 (TOPSIS) 的优先顺序为医疗保健供应链能力规划.
在不确定的环境中增强决策的稳定性.
为医院提供一个实际的框架,使资源与需求保持一致.

主要方法:

定义了关键标准:患者需求,资源可用性,成本和护理质量.
使用模糊的对对判断来估计标准权重.
采用了模糊的TOPSIS来对各种容量选项进行排名.
进行基于场景的比较,使用清晰的AHP/TOPSIS.

主要成果:

模糊模型有效地捕捉了专家输入中的模糊性.
模糊模型产生的排名显示出对判断的微小变化更大的稳定性.
模糊的方法仍然可以在计算上管理.
提高了能力规划的决策稳定性.

结论:

模糊的AHP和模糊的TOPSIS提供了一个强大的方法来规划医疗保健供应链容量在不确定性.
这些方法通过结合专家判断的模糊性来加强决策.
这些发现为医院提供了一个实用的指南,以优化资源配置,改善患者流动和控制成本.

关键词:

能力规划能力规划能力规划能力模糊的 AHP 的 AHP.这是一个模糊的TOPSISIS.医疗保健供应链管理医疗保健供应链管理多重标准决策 (MCDM) 是一种多重标准决策.利益相关者参与利益相关者参与

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