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相关概念视频

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

646
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
646
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

116
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
116
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

66
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
66
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

55
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...
55
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

47
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...
47
Distributed Loads01:19

Distributed Loads

538
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
538

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相关实验视频

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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在需求不确定性下的低碳物流网络的Aptenodytes forsteri优化算法.

Yuhua Zhu1, Xiang Fan1, Chuanzhong Yin1

  • 1College of Transport and Communications, Shanghai Maritime University, Shanghai, China.

PloS one
|January 29, 2024
PubMed
概括

本研究引入了一种选择低碳物流中心地点的新模型,解决需求不确定性,以减少成本和碳排放. 该方法优化了位置规划,以实现更可持续和更有效的物流行业.

科学领域:

  • 运营研究 运营研究
  • 环境科学 环境科学
  • 供应链管理 供应链管理

背景情况:

  • 中国的"双碳"目标需要在低碳物流方面取得进展.
  • 当前的物流中心选址模型经常忽视需求的不确定性,导致资源效率低下.
  • 优化物流中心位置对于减少碳排放和运营成本至关重要.

研究的目的:

  • 为低碳物流中心开发一个包含需求不确定性的多目标选址模型.
  • 为了最大限度地降低物流成本和同时减少碳排放.
  • 为可持续物流基础设施规划提供强大的方法.

主要方法:

  • 一个基于随机编程理论的多目标选址模型被制定出来.
  • 需求不确定性被视为一个随机约束,转化为0-1混合整数多目标规划模型.
  • 为了解决模型,Aptenodytes Forsteri优化 (AFO) 算法与理想点方法结合使用.

主要成果:

  • 拟议的模型和AFO算法有效地解决了在需求不确定性下的低碳物流中心选址问题.
  • 与确定性方法相比,该模型显示物流成本 (平均6.2%) 和碳排放 (平均3.6%) 的降低.
  • 在需求不确定性 (0.9信心水平) 下,物流成本和碳排放均显著下降.

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结论:

  • 该研究为低碳物流的定位问题提供了一种新的方法,特别是考虑到需求不确定性.
  • 这些发现支持物流行业向更高的低碳效率转型.
  • 综合优化模型和AFO算法为可持续物流规划提供了有价值的工具.