Construction Planning for Added Value

增值建设规划

• 批准号: 9312954
• 负责人: Boyd Paulson
• 金额: $ 22万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-05-15 至 1997-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9312954&HistoricalAwards=false
• 关键词: Construction; Planning; Added; Value

9312954 Paulson The goal is to develop and validate new technology and methodology that will enable investigators and AEC industry planners to use the computer to plan projects in detail--including processing, waiting and move activities --and to classify planned activities as value-adding (VA) or non-VA. The research methods will include careful observation and analysis of actual construction processes. Then based on this observation and some of prior work, PI's will develop theories of how to do detailed planning, to infer whether activities add value, and to suggest plan options that reduce or eliminate non-VA activity. Using Artificial Intelligence (AI) modeling techniques, PI's will build symbolic models to implement that theory. In addition, will build interactive graphic user interfaces to help investigators do careful validation to compare observation, theoretical prediction about plans for specific projects, and the actual output of the planner.

9312954保尔森的目标是开发和验证新的技术和方法，使调查人员和AEC行业规划人员能够使用计算机详细规划项目-包括处理，等待和移动活动-并将计划的活动分类为增值（VA）或非VA。 研究方法将包括仔细观察和分析实际施工过程。 然后，基于这一观察和一些先前的工作，PI的将开发如何做详细的计划，以推断活动是否增加价值，并建议减少或消除非VA活动的计划选项的理论。 使用人工智能（AI）建模技术，PI将建立符号模型来实现该理论。 此外，将建立交互式图形用户界面，以帮助调查人员做仔细的验证，以比较观察，理论预测有关计划的具体项目，和实际输出的计划。