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相关概念视频

Comparing the Survival Analysis of Two or More Groups01:20

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Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
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Distributed Loads: Problem Solving01:21

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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...
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Multimachine Stability01:25

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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
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Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

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A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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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.
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Statically Indeterminate Problem Solving01:16

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Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
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Updated: Jan 11, 2026

Operation of the Collaborative Composite Manufacturing CCM System
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通过关键链方法对多个项目调度进行强大的优化.

Min Tian1,2, Xiaomei Li3

  • 1School of economics and management, Xidian university, Xi'an, China.

PloS one
|November 13, 2025
PubMed
概括
此摘要是机器生成的。

这项研究通过改进关键链方法来增强多项目调度. 一个新的稳定性测量和一个离散差异演变 (DE) 算法减少了调度不稳定性和缓冲器问题.

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科学领域:

  • 运营研究 运营研究
  • 项目管理 项目管理
  • 计算智能是一种计算智能.

背景情况:

  • 关键链方法 (CCM) 提高了单个项目调度的稳定性.
  • 将CCM应用于多项目调度时,在稳定性测量和算法灵活性方面面临挑战.

研究的目的:

  • 调整关键链多项目调度模型以提高稳定性.
  • 提出一种新的稳定性测量方法,考虑子项目内部和子项目之间的弹性.
  • 设计一个增强的离散差异演变 (DE) 算法,用于多个项目的调度.

主要方法:

  • 在CCM中内置鼓式缓冲器和容量限制缓冲器.
  • 开发了一种可靠性测量方法,用于评估各个子项目的时间弹性.
  • 设计了一个离散的DE算法,有离散的操作员和登,用于增强本地搜索.

主要成果:

  • 与基准算法相比,增强的离散DE算法提高了超过3.3%的稳定性.
  • 拟议的稳定性措施提高了调度计划的稳定性.
  • 减少缓冲器消耗和在多项目调度中的溢出.

结论:

  • 经过调整的CCM与新的稳定性测量和离散DE算法有效地解决了多个项目的调度挑战.
  • 这种方法显著提高了调度稳定性和资源管理.
  • 这种方法为复杂的项目环境提供了更稳定,更有效的解决方案.