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相关概念视频

Decision Making: P-value Method01:09

Decision Making: P-value Method

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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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.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

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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...
458
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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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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Production Efficiency01:01

Production Efficiency

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Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
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相关实验视频

Updated: Jul 26, 2025

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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制造业企业的订单调度优化基于MDP和动态编程.

Qiqige Wulan1

  • 1Management Science and Engineering Department, Dongbei University of Finance and Economics, Dalian, 116025, China. wilma.wu@boschrexroth.com.cn.

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|June 16, 2023
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概括
此摘要是机器生成的。

本研究介绍了一种马尔科夫决策过程模型,用于优化制造订单调度,优于传统方法. 拟议的战略旨在最大限度地提高工业4.0生产系统的收入.

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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

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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:

  • 订单安排对于工业4.0中的制造效率至关重要.
  • 传统的安排方法,如先到先得,可能无法最大限度地提高收入.
  • 动态的生产环境需要适应性调度策略.

研究的目的:

  • 为制造业企业制定一个最佳的订单安排策略.
  • 为了最大限度地提高制造业生产系统的收入,使用一种新的模型.
  • 在工业4.0的背景下提高生产效率.

主要方法:

  • 开发了一个有限地平线马尔科夫决策过程模型.
  • 该模型考虑了两个设备组和三个订单类型,交付时间不同.
  • 集成了动态编程以确定最佳战略,并使用Python进行模拟.

主要成果:

  • 拟议的马尔科夫决策过程模型显著改善了先到先得的方法.
  • 实验案例验证了该模型在最大化收入方面的优势.
  • 敏感性分析证实了该策略在设备服务时间和订单完成率方面的适用性.

结论:

  • 开发的订单调度策略为制造业企业提供了优质的替代方案.
  • 该模型提供了一个强大的框架,用于在动态生产环境中最大限度地提高收入.
  • 这项研究有助于优化工业4.0中的制造业务.