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.******

尽管模块化构造和异地预制，建筑信息建模（BIM），到移动计算和传感器技术的现场应用，建筑工程和项目管理实践的巨大技术进步仍保持不变。大多数建筑项目尚未解决详细的成本估算和粗糙成本控制之间粒度水平的长期不匹配。实际上，从业者仍然依靠经验法则和“肠道”来做出关键决策，而不是数据驱动的定量分析。研究论文中仅证明了应该由新技术启用的设计建设集成的许多好处，但在现实世界中很少实现。提出这个CRD项目的动机是由向合作伙伴公司和整个加拿大建筑业带来的所有现实世界中的挑战和研究机会所激发的。 PI和公司管理层没有采用“零碎”方法，而是通过“综合项目交付”方法来解决建筑工程和管理中相互关联的“零件和包裹”，通过使人，系统和数据在估算，计划以及项目控制方面的不同级别以及不同级别的关键决策过程中涉及的人员，系统和数据。拟议的CRD将（1）定义合作伙伴公司中当前的结构性不良问题，（2）根据这些问题设计以数据为中心的基础架构，以及（3）开发有效的分析以处理数据以更好地可见性，更好的情报和更好的决策。通过互助，学术界的互助协作解决具有挑战性的问题和培训高度合格的人员，该CRD的可交付成果将在国家和全球竞技场的结构钢工程，制造和架设方面的合作伙伴公司的竞争优势，同时为发现知识，促进知识，促进实践和成长的人才做出重大贡献。这个CRD项目的最终受益者将包括合作伙伴公司和整个加拿大结构钢铁行业的建筑工程师和经理。******