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相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

79
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...
79
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

96
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and 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...
96
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

266
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
266
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

103
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
103
Classification of Systems-II01:31

Classification of Systems-II

171
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
171
Three-Compartment Open Model01:06

Three-Compartment Open Model

268
The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
268

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分布式工厂调度:对分类,模型和算法的全面审查.

Jianguo Duan1, Mengting Wang2, Qinglei Zhang1

  • 1China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China.

Mathematical biosciences and engineering : MBE
|September 7, 2023
PubMed
概括

本文回顾了智能制造中的分布式车间调度,涵盖了并行,流动,工作和装配车间类型. 它分析了分布式生产系统的优化,算法和未来趋势.

关键词:
分布式流量商店调度时间表工厂分配的工厂配额.文献审查 文献审查多目标优化多目标优化可持续发展指标 可持续发展指标

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科学领域:

  • 运营研究 运营研究
  • 制造系统工程 制造系统工程
  • 工业工程 工业工程 工业工程

背景情况:

  • 现代工业需要在智能制造环境中高效的生产计划.
  • 分布制造和企业间合作是日益普遍的生产模式.
  • 现有的研究需要与这些新的制造范式保持一致.

研究的目的:

  • 介绍分布式车间调度的研究背景和当前状况.
  • 总结和分类分布式并行机器,流量车间,工作车间和装配车间调度的研究.
  • 探索优化,算法和分布式制造调度的未来趋势.

主要方法:

  • 文献综述和对分布式商店调度现有研究的综合.
  • 分布式调度问题的分类 (并行机器,流动车间,工作车间,组装车间).
  • 对单目标和多目标优化,处理约束和相关算法的分析.

主要成果:

  • 对分布式商店调度研究的全面概述,包括关键问题和热门话题.
  • 基于制造模型的分布式调度问题的分类.
  • 优化算法的总结,它们的局限性和研究方法.

结论:

  • 分布式工厂调度对于智能和合作制造至关重要.
  • 需要进一步的研究来解决复杂的优化和解决方案方法,以应对新出现的分布式生产挑战.
  • 确定未来的研究方向对于推进分布式制造系统至关重要.