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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

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A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
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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...
374
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
510
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
441
Machines: Problem Solving I01:22

Machines: Problem Solving I

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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
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相关实验视频

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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

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基于模糊的多目标调度,用于人机器人制造系统.

Yijun Deng1, Binrong Huang1, Shouliang Lai2

  • 1College of Packaging Design and Art, Hunan University of Technology, Zhuzhou, 412000, Hunan, China.

Scientific reports
|February 27, 2026
PubMed
概括

这项研究优化了使用模糊编程在制造业中的人机协作. 它平衡生产,库存和任务分配,以最大限度地提高价值并最大限度地减少延迟,即使需求不确定.

科学领域:

  • 制造业 工程 制造工程
  • 运营研究 运营研究
  • 模糊系统 (Fuzzy Systems) 是一个模糊系统.

背景情况:

  • 现代制造业面临着需求波动和人机交互的挑战.
  • 优化生产规划和时间表对于效率和利能力至关重要.

研究的目的:

  • 开发一个模糊的编程模型,同时优化生产,库存,人机器人任务分配和工作顺序.
  • 在多期,多产品制造环境中解决需求和加工时间的不确定性.

主要方法:

  • 为了处理不确定性,采用了悲观的 (可信度受限) 模糊编程方法.
  • 对于小规模的问题使用了epsilon-constraint方法,而对更大的实例应用了元启发算法 (NSGA-II,MOPSO,MOWOA).
  • 进行了灵敏度分析,以评估各种参数对目标功能的影响.

主要成果:

  • 缩短完成时间会增加成本,降低净现值.
  • 较高的不确定性率导致生产时间和短缺增加,净现值下降.
  • 银行利率上4%显著降低了15.68%的净当前价值.

结论:

  • MOWOA算法在产生人机协作高效解决方案的大规模问题上表现出卓越的性能.
关键词:
模糊编程是一种模糊的编程.人与机器人的互动.多目标优化多目标优化生产规划 生产规划时间表编制 时间表编制

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  • 该研究为优化在模糊制造环境中的综合生产规划和调度提供了实际见解.
  • 有效地管理不确定性和财务参数对于最大限度地提高制造业价值至关重要.