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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

38
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...
38
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

356
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...
356
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

619
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...
619
Flat Belts: Problem Solving01:28

Flat Belts: Problem Solving

327
Flat belts are crucial in many industrial applications as they help transmit power from one pulley to another. The concept of forces and moments is used to determine the maximum moment on a pulley. For instance, consider a flat belt that wraps around two pulleys, A and B, with radii of 30 cm and 10 cm, respectively. The angle between the belt and the horizontal is 20 degrees at the pulleys. As pulley B rotates clockwise and drives pulley A, tension T2 is caused at one end of the belt, while...
327
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

328
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
328
Machines: Problem Solving I01:22

Machines: Problem Solving I

294
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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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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使用DOMINO框架对混合整数非线性综合规划和调度问题的双层优化.

Hasan Nikkhah1,2, Vassilis M Charitopoulos3, Styliani Avraamidou4

  • 1Department of Chemical & Biomolecular Engineering, University of Connecticut, Storrs, CT, 06260, USA.

ESCAPE. European Symposium on Computer Aided Process Engineering
|February 7, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种数据驱动的优化策略,以解决复杂的供应链规划和调度问题. 多米诺框架有效地处理综合双层编程,产生可行的生产时间表.

关键词:
数据驱动优化的优化.两个级别的编程.在整个企业范围内优化优化.混合整数非线性编程混合整数编程生产规划 生产规划时间表编程 时间表编程

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科学领域:

  • 运营研究 运营研究
  • 供应链管理 供应链管理
  • 数据驱动优化数据驱动优化

背景情况:

  • 在多层次供应链中,综合规划和调度是复杂的,因为相互依赖和市场波动.
  • 序列式的方法往往导致无法实现的生产时间表.

研究的目的:

  • 开发一个数据驱动的优化方法,以解决综合规划和调度问题,并以双层编程形式制定.
  • 应对多层次供应链决策中的挑战.

主要方法:

  • 制定企业范围的决策作为线性生产规划和混合整数非线性调度的双层优化问题.
  • 应用DOMINO框架,一个数据驱动的优化策略,用于双层问题.

主要成果:

  • 在各种案例研究中证明了有效性,包括原油调度和连续制造工艺.
  • 在双层编程中,DOMINO成功地处理了高维,混合整数非线性下层.

结论:

  • 多米诺框架为企业范围的整合优化问题提供了强大的解决方案.
  • 这种方法可以确保在复杂的供应链网络中实现可行的生产时间表.