相关实验视频

Updated: May 24, 2025

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

在重复性项目中,以模拟为基础的机组人员路线安排,具有学习和遗忘效应

Tayseir Hegazy^1,2, Khaled Hamdy³, Hatem El-Behairy³

¹Department of Structural Engineering, Ain Shams University (ASU), Cairo, Egypt. Tayhegazy@aucegypt.edu.

Scientific reports

|February 28, 2025

概括

平衡线 (LOB) 技术优化了重复性的项目调度. 平衡不同的船员与分路的船员对项目的持续时间和船员数量产生影响,模拟提供了一个解决方案.

科学领域:

建设管理建设管理.
运营研究运营研究

背景情况:

平衡线 (LOB) 是用于重复性项目的调度技术.
它通过促进工作流的一致性和利用学习率效应,比临界路径方法 (CPM) 有优势.
学习率效应缩短了活动持续时间,因为工作人员重复任务.

研究的目的:

在重复性项目中,调查维持每个活动的专用机组人员和实施机组人员路线之间的权衡.
分析船员分配策略对项目的持续时间和所需船员总数的影响.
探索基于模拟的方法来优化机组人员数量和LOB调度中的运动.

主要方法:

两种船员分配策略的比较分析:每项活动的专用船员与分线的船员.
评估学习率对活动持续时间的影响,并与机组人员分配一致.
开发和应用模拟模型以优化机组人员分配和路线.

主要成果:

专门的船员任务将项目持续时间最小化,但需要更多的船员.
机组人员路由减少了机组人员的总数,但导致了整体项目持续时间的增加.
模拟方法可以有效地平衡船员数量和项目持续时间.

结论:

在LOB调度中优化机组分配涉及项目持续时间和资源利用 (机组人员数量) 之间的权衡.
机组人员的路由可以通过降低间接成本而具有成本效益,尽管可能增加项目持续时间.
项目特定的模拟模型对于在重复的建筑项目中优化船员数量和路线决策至关重要.

关键词:

建设管理工程建设管理.延迟风险评估的时间.平衡线 (LOB) 调度时间表重复性项目是重复性的项目.

更多相关视频

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation

Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation

Published on: October 8, 2011

相关概念视频

Reinforcement Schedules

Reinforcement Schedules

Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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...

Stereotype Content Model

Stereotype Content Model

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...