相关实验视频
Updated: Jun 28, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
COVID-19大流行:通过整合解释性结构建模和贝叶斯信念网络来管理供应链风险
Roberta Pellegrino1, Barbara Gaudenzi2, Abroon Qazi3
1Department of Mechanics, Mathematics and Management, Politecnico di Bari (Italy).
这项研究探讨了COVID-19如何影响供应链风险,以及数字化如何增强性. 它为管理人员提供了评估中断的工具,并投资于有效的减轻供应链风险管理策略.
科学领域:
- 运营和供应链管理运营和供应链管理
- 信息系统信息系统信息系统
- 风险管理 风险管理
背景情况:
- COVID-19 流行病暴露了全球供应链的重大漏洞.
- 数字化越来越被认为是提高供应链弹性的一个关键因素.
- 现有研究需要一个框架来将流行病的影响与风险减轻和数字化联系起来.
研究的目的:
- 提出并经验测试一个理论框架,将COVID-19的影响,供应链风险减缓和数字化联系起来.
- 调查数字技术在提高供应链弹性方面的作用.
- 为管理人员提供评估供应链相互依赖性和投资于弹性工具.
主要方法:
- 文献审查,以开发一个理论框架.
- 混合因果映射技术结合了解释性结构建模 (ISM) 和贝叶斯信念网络 (BBN).
- 拟议框架的实证测试.
主要成果:
- 确定了COVID-19中断和供应链风险减轻策略之间的关键联系.
- 证明了数字化在增强供应链弹性方面的重要作用.
- 验证了混合ISM-BBN决策方法的有效性.
结论:
- 数字化是有效减轻供应链风险和恢复力的关键资源.
- 开发的框架和方法有助于管理人员理解和解决供应链漏洞.
- 调查结果支持对弹性进行战略投资,以应对未来的破坏.
更多相关视频
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
10:11Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes
Published on: September 27, 2014
相关概念视频
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...
Steps in Outbreak Investigation
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Causality in Epidemiology
Models of Health Promotion and Illness Prevention I
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment