Planning and control technologies for construction

施工规划与控制技术

• 批准号: 4670-2009
• 负责人: Russell, Alan
• 金额: $ 3.08万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=473872
• 关键词: Planning; control; technologies; construction

The goal is to improve the effectiveness of current project & construction management (CM) processes for a project's procurement and construction phases through the development of richer representations of its dimensions and application of state-of-the-art information technologies to create computerized environments to improve decision making and enhance insights into reasons for project performance. In pursuing this goal, realities of the construction industry are considered - e.g. highly variable educational backgrounds of personnel, diversity & uniqueness of projects & their context, large sets of heterogeneous data, a need for generality as opposed to a very narrow focus, etc. Research objectives and guiding questions are: Objective 1: Interpretation of construction data using causal modeling and visual analytics - How can seasoned construction personnel express their judgement and experience about performance cause-effect relationships in terms of data collected for CM functions to search for supporting evidence? and, How can visual analytics be used to provide important insights into project performance, improve decision making and aid communication amongst project participants? Objective 2: Creating an environment for formulating and evaluating alternative construction strategies: How can CAD and linear scheduling be combined to allow for the formulation and exploration of alternative construction strategies to enhance project performance? Objective 3: Profiling project context for risk identification, impact and mitigation - How can the profiling of project context assist in developing an accurate risk profile for a project? Three intersecting building blocks underpin the three research objectives: (i) representation; (ii) knowledge management; and, (iii) visual analytics and CAD. Research methodology components include use of large scale data sets, testing of concepts developed on actual projects, building on research by others, and use of state-of-the-art technologies. The research program involves 3 PhD students, 2 MASc students, and 2 MEng students.

其目标是通过开发更丰富的维度表示和应用最先进的信息技术来创建计算机化环境，以改善决策并增强对项目绩效原因的洞察力，从而提高当前项目和施工管理（CM）流程在项目采购和施工阶段的有效性。在追求这一目标时，考虑了建筑行业的实际情况-例如，人员的教育背景差异很大，项目及其背景的多样性和独特性，大量的异构数据集，需要通用性而不是非常狭窄的焦点等。使用因果建模和可视化分析解释施工数据-经验丰富的施工人员如何根据CM功能收集的数据来表达他们对性能因果关系的判断和经验，以搜索支持证据？以及，如何使用可视化分析来提供对项目绩效的重要见解，改善决策制定并帮助项目参与者之间的沟通？ 目标二：为制定和评估替代施工策略创造环境：如何将CAD和线性调度相结合，以制定和探索替代施工策略，从而提高项目绩效？目标三：为风险识别、影响和缓解分析项目背景-项目背景分析如何有助于为项目制定准确的风险预测？三个相互交叉的构建块支撑着三个研究目标：（i）表示;（ii）知识管理;（iii）可视化分析和CAD。研究方法的组成部分包括使用大规模数据集，测试在实际项目中开发的概念，建立在他人的研究基础上，以及使用最先进的技术。该研究计划涉及3名博士生，2名MASc学生和2名MEng学生。