课题基金 / 基金详情

The use of data and AI to identify opportunities in construction project slow downs and restarts

The use of data and AI to identify opportunities in construction project slow downs and restarts
使用数据和人工智能来识别建筑项目放缓和重启的机会
批准号:
70629
负责人:
金额:
$9.53万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The construction sector, encompassing contracting, product manufacturing and professional services, had a turnover of around £370 billion in 2016, adding £138 billion in value to the UK economy -- 9% of the total -- and exported over £8 billion of products and services.However, the potential of the sector has been held back by productivity that is historically below than the wider economy -- an average of 21% lower, since 1975. With a pipeline of £600 billion in infrastructure projects, construction makes a critical contribution to the progress of the UK economy.Impacts as a result of COVID-19 have resulted in a dramatic slowdown to the industry with projects either slowing down or shutting down entirely. A vast majority of these projects will soon be expected to resume to normality.The tension of slowing down and restarting a construction project looms within the complexity of the operation, including effects of the supply chain. It is highly likely that a vast majority of projects will incur significant impacts to their final cost, schedule and benefits case.This project will use data from across the UK's construction industry to identify areas of opportunity within projects, to enable slow downs and restarts to be done as seamlessly as possible. The project will help identify risks in proposed plans, expose them to the project team and help benchmark each project against its cohort, to gauge competitiveness or antifragility. Hypotheses will be fully tested and validated during the course of the project, to ensure that the product developed provides sustainable solutions for stakeholders and customers.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: