Intelligent decision making and knowledge management in engineering project management procedures
工程项目管理流程中的智能决策和知识管理
基本信息
- 批准号:491877-2015
- 负责人:
- 金额:$ 2.81万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Collaborative Research and Development Grants
- 财政年份:2016
- 资助国家:加拿大
- 起止时间:2016-01-01 至 2017-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Most industries have standard values that are applied to cost estimates to reflect uncertainty early in the life of a project. Much research has focused on our failure to properly reflect real project conditions and to accurately estimate costs, schedules, and risks, especially for infrastructure and industrial megaprojects. A study of 63 international mining and smelting projects suggested that one out of thirteen projects had cost overruns 100% or higher. Public infrastructure projects typically fair worse. This project aims to develop a cognitive framework in which data and expert knowledge are integrated to provide support during the process of estimating capital expenditure and contingency costs early in the project phase with the goal of improving cost performance. Cognitive computing refers to computer systems built to simulate human thinking and reasoning using artificial intelligence (AI). Improving the estimates for expenditures and contingencies could have a major positive impact on the well-being and profitability of megaprojects. The systematic and accurate estimation of capital expenditures and contingencies could identify and help mitigate risk factors that drive up costs, enhance financing of the project for the client, and create higher reliability and competency in the marketplace.
大多数行业都有应用于成本估算的标准值,以反映项目生命周期早期的不确定性。许多研究都集中在我们未能正确反映真实的项目条件,准确估计成本、进度和风险,特别是基础设施和工业巨型项目。对63个国际采矿和冶炼项目的研究表明,每13个项目中就有一个项目的成本超支100%或更高。公共基础设施项目通常更糟糕。该项目旨在建立一个认知框架,将数据和专家知识结合起来,以便在项目阶段初期估计资本支出和应急费用的过程中提供支助,以提高成本效益。认知计算是指使用人工智能(AI)模拟人类思维和推理的计算机系统。改进支出和意外情况估计数可对大型项目的福祉和盈利能力产生重大积极影响。对资本支出和或有事项进行系统和准确的估计可以确定并帮助减轻推高成本的风险因素,加强客户对项目的融资,并在市场上创造更高的可靠性和能力。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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McCabe, Brenda其他文献
Automated Visual Recognition of Dump Trucks in Construction Videos
- DOI:
10.1061/(asce)cp.1943-5487.0000179 - 发表时间:
2012-11-01 - 期刊:
- 影响因子:6.9
- 作者:
Azar, Ehsan Rezazadeh;McCabe, Brenda - 通讯作者:
McCabe, Brenda
Relationship between Individual Resilience, Interpersonal Conflicts at Work, and Safety Outcomes of Construction Workers
- DOI:
10.1061/(asce)co.1943-7862.0001338 - 发表时间:
2017-08-01 - 期刊:
- 影响因子:5.1
- 作者:
Chen, Yuting;McCabe, Brenda;Hyatt, Douglas - 通讯作者:
Hyatt, Douglas
Server-Customer Interaction Tracker: Computer Vision-Based System to Estimate Dirt-Loading Cycles
- DOI:
10.1061/(asce)co.1943-7862.0000652 - 发表时间:
2013-07-01 - 期刊:
- 影响因子:5.1
- 作者:
Azar, Ehsan Rezazadeh;Dickinson, Sven;McCabe, Brenda - 通讯作者:
McCabe, Brenda
Methodology for Bayesian Belief Network Development to Facilitate Compliance with Water Quality Regulations
- DOI:
10.1061/(asce)1076-0342(2010)16:1(58 - 发表时间:
2010-03-01 - 期刊:
- 影响因子:3.3
- 作者:
Joseph, Shannon A.;Adams, Barry J.;McCabe, Brenda - 通讯作者:
McCabe, Brenda
Part based model and spatial-temporal reasoning to recognize hydraulic excavators in construction images and videos
- DOI:
10.1016/j.autcon.2012.03.003 - 发表时间:
2012-07-01 - 期刊:
- 影响因子:10.3
- 作者:
Azar, Ehsan Rezazadeh;McCabe, Brenda - 通讯作者:
McCabe, Brenda
McCabe, Brenda的其他文献
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{{ truncateString('McCabe, Brenda', 18)}}的其他基金
Automated data collection in tall building construction
高层建筑施工中的自动数据采集
- 批准号:
RGPIN-2017-06792 - 财政年份:2021
- 资助金额:
$ 2.81万 - 项目类别:
Discovery Grants Program - Individual
BIM-driven productivity improvements for the Canadian construction industry
BIM 驱动的加拿大建筑业生产力提高
- 批准号:
530550-2018 - 财政年份:2020
- 资助金额:
$ 2.81万 - 项目类别:
Collaborative Research and Development Grants
Automated data collection in tall building construction
高层建筑施工中的自动数据收集
- 批准号:
RGPIN-2017-06792 - 财政年份:2020
- 资助金额:
$ 2.81万 - 项目类别:
Discovery Grants Program - Individual
BIM-driven productivity improvements for the Canadian construction industry
BIM 驱动的加拿大建筑业生产力提高
- 批准号:
530550-2018 - 财政年份:2018
- 资助金额:
$ 2.81万 - 项目类别:
Collaborative Research and Development Grants
Automated data collection in tall building construction
高层建筑施工中的自动数据收集
- 批准号:
RGPIN-2017-06792 - 财政年份:2018
- 资助金额:
$ 2.81万 - 项目类别:
Discovery Grants Program - Individual
Intelligent decision making and knowledge management in engineering project management procedures
工程项目管理流程中的智能决策和知识管理
- 批准号:
491877-2015 - 财政年份:2018
- 资助金额:
$ 2.81万 - 项目类别:
Collaborative Research and Development Grants
Intelligent decision making and knowledge management in engineering project management procedures
工程项目管理流程中的智能决策和知识管理
- 批准号:
491877-2015 - 财政年份:2017
- 资助金额:
$ 2.81万 - 项目类别:
Collaborative Research and Development Grants
Improving the construction of tall buildings
加强高层建筑建设
- 批准号:
479087-2015 - 财政年份:2017
- 资助金额:
$ 2.81万 - 项目类别:
Collaborative Research and Development Grants
Automated data collection in tall building construction
高层建筑施工中的自动数据采集
- 批准号:
RGPIN-2017-06792 - 财政年份:2017
- 资助金额:
$ 2.81万 - 项目类别:
Discovery Grants Program - Individual
Improving the construction of tall buildings
加强高层建筑建设
- 批准号:
479087-2015 - 财政年份:2015
- 资助金额:
$ 2.81万 - 项目类别:
Collaborative Research and Development Grants
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