Data-driven decision support systems for integrated project delivery on structural steel projects

用于钢结构项目集成项目交付的数据驱动决策支持系统

• 批准号: 501012-2016
• 负责人: Lu, Ming
• 金额: $ 4.37万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=658023
• 关键词: Data; driven; decision; support; systems

Despite tremendous technological advances from modular construction and offsite prefabrication, Building Information Modeling (BIM), to field application of mobile computing and sensor technologies, the practice of construction engineering and project management has remained much unchanged. The long-standing mismatch in level of granularity between detailed cost estimating and rough cost control is not yet resolved on the majority of construction projects. In reality, practitioners still rely on the rule of thumb and "gut-feelings" to make critical decisions, instead of data-driven, quantitative analytics. The numerous benefits for design-construction integration as supposed to be enabled by new technologies were only demonstrated in research papers but rarely materialized in the real world. Proposing this CRD project is motivated by all those real-world challenges and research opportunities presented to the partner company and the Canadian construction industry at large. Instead of taking a "piecemeal" approach, the PI and the company management have concurred on an "Integrated Project Delivery" approach to tackle the interrelated "parts and parcels" in construction engineering and management, through aligning people, systems and data involved in critical decision-making processes at various levels and at different times in estimating, planning, and project control. The proposed CRD will (1) define currently ill-structured problems in the partner company, (2) design the data-centric infrastructure in line with those problems, and (3) develop effective analytics to process data for better visibility, better intelligence, and better decision. Through the mutually-beneficial, academia-industry collaboration in tackling challenging problems and training highly-qualified personnel, the deliverables of this CRD will sharpen the competitive edge of the partner company in structural steel engineering, fabrication, and erection in both national and global arenas, while significantly contributing to discovering knowledge, advancing practice and growing talent. The ultimate beneficiaries of this CRD project will include construction engineers and managers in the partner company and the Canadian structural steel industry at large.******

尽管从模块化施工和场外预制、建筑信息建模（BIM）到移动的计算和传感器技术的现场应用，技术取得了巨大进步，但建筑工程和项目管理的实践仍然没有改变。大多数建设项目尚未解决详细成本估算和粗略成本控制之间长期存在的粒度不匹配问题。在现实中，从业者仍然依赖于经验法则和“直觉”来做出关键决策，而不是数据驱动的定量分析。设计-施工一体化的许多好处，应该是由新技术实现的，只在研究论文中得到证明，但很少在真实的世界中实现。提出这个CRD项目的动机是所有这些现实世界的挑战和研究机会，提出了合作伙伴公司和加拿大建筑业在整个。PI和公司管理层一致同意采用“集成项目交付”方法，而不是采取“零碎”方法，通过在估算，规划和项目控制的不同级别和不同时间调整参与关键决策过程的人员，系统和数据，来处理建筑工程和管理中相互关联的“部分和包裹”。拟议的CRD将（1）定义合作伙伴公司目前结构不良的问题，（2）根据这些问题设计以数据为中心的基础设施，以及（3）开发有效的分析来处理数据，以实现更好的可见性，更好的智能和更好的决策。通过互惠互利的合作，解决具有挑战性的问题和培训高素质的人才，该CRD的交付成果将提高合作伙伴公司在国内和全球领域的结构钢工程，制造和安装方面的竞争优势，同时为发现知识，推进实践和培养人才做出重大贡献。该CRD项目的最终受益者将包括合作公司的建筑工程师和经理以及整个加拿大结构钢行业。