相关实验视频
Updated: Jun 28, 2025

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
2.1K
通过有效的冗余分配来提高供应链的弹性:一种风险偏向的数学模型
Aldrighetti Riccardo1, Battini Daria1, Ivanov Dmitry2
1Department of Management and Engineering, University of Padua, Stradella San Nicola, 3, 36100. Vicenza, Italy.
概括
本研究引入了弹性供应链 (SC) 模型,以尽量减少中断期间的成本. 积极投资和恢复行动增强了网络稳定性,可以应对COVID-19流行病等风险.
科学领域:
- 运营研究 运营研究
- 供应链管理 供应链管理
- 风险管理 风险管理
背景情况:
- COVID-19大流行突出了供应链 (SC) 的脆弱性和弹性需求.
- 不确定性和中断事件对SC网络设计和规划构成重大风险.
研究的目的:
- 为设计和规划弹性双层SC网络开发一种避风险的数学模型.
- 通过优化设施位置,容量,流量分配和弹性策略来最大限度地降低总成本.
主要方法:
- 制定了一个混合整数非线性编程模型,以纳入中断事件.
- 用计算实验和数值示例来测试解决方案程序.
- 分析的重点是各种干扰配置,包括长期危机.
主要成果:
- 恢复活动对短期的SC中断最有效.
- 积极投资于保护系统和灵活性可以提高SC的弹性.
- 弹性战略可以在网络成本和产能过剩的最小增加的情况下管理中断.
结论:
- 拟议的模型为建立强大且具有成本效益的SC网络提供了一个框架.
- 战略弹性投资对于减轻SC中断的影响至关重要.
- 这些发现为在不确定的环境中进行SC规划提供了管理洞察力.
相关概念视频
Distribution Reliability and Automation
107
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
107
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
46
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
46
Parametric Survival Analysis: Weibull and Exponential Methods
424
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
424
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
53
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
53
Response Surface Methodology
128
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
128
Hazard Rate
104
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
104

