BIM (Building Information Modelling) based Construction supply chain management under risk and uncertainty

自20世纪90年代以来，供应链管理(SCM)在改善建筑管理绩效方面的重要性已经被认识到。然而，仍然有许多项目需要更长的时间才能完成，而且超出了预算。此外，物流规划和优化模型也不能很好地适应建筑信息建模(BIM)等技术的最新发展。在引入BIM技术之前，曾多次尝试通过为战略、战术和业务规划提供决策模型和方法来帮助CSC参与者完成主要建设阶段。在许多情况下，还利用优化技术来提高CSC的生产率。随着技术的进步和BIM建模在建筑、工程和建筑行业的普及，为改进物流规划提供了新的机会。通过将BIM的内置智能与以前的研究工作相结合，最近的研究试图提出使用BIM数据的物流优化模型，以增强项目进度计划的自动生成，或优化建筑物内部存储空间的开发以及设施布局和材料处理。尽管这些研究显示了建筑业提高生产率的潜力，但仍然需要增强和创新的CSC模式。因此，在本研究计划中，我们将在BIM的背景下考虑CSCM。长期的研究目标是为建筑供应链管理提供一个基于BIM的自动化框架。使用BIM文件中的自动数据提取，我们将开发适合建筑项目实际的复杂供应链优化模型。在这里，CSC规划的关键决策(战略、战术和操作)是在规划的早期阶段基于BIM提供的数据进行的。这样，就可以非常迅速地与设计者进行交互以进行修改，并最终为预算和项目进度提供更准确的估计。我们方法的创新之处在于，CSCM将很容易地集成到设计阶段，提供了增加设计师和CSC股东之间合作的可能性，这是管理复杂建筑项目的关键挑战之一。为了解决这些问题并实现长期目标，申请者将把研究计划组织成三个短期目标。第一个目标是开发从BIM中提取数据的系统架构，准备用于建筑供应链管理。研究计划的第二个目标将集中于开发一种新的与CSMC-BIM模型相连接的多目标供应链优化模型。最后，第三个目标是开发基于BIM的CSCM中风险缓解的决策模型。

The importance of Supply Chain Management (SCM) in improving construction management performance has been recognized since the 1990s. Nevertheless, still many projects take a longer time to finish and run over budget. Also, logistics planning and optimizations models are not well adapted to the recent developments of technologies such as Building Information Modeling (BIM). Before the introduction of BIM technology, there were many attempts to assist CSC actors through the major construction phases by providing decision models and methods for strategic, tactical and operational planning. Optimization techniques are also exploited in many cases for improving productivity in CSCs. With the technological advancement and prevalence of BIM modeling in the architectural, engineering, and construction industry, new opportunities exist for improving logistics planning. By combining the built-in intelligence of BIM with previous research efforts, recent studies have tried to propose logistics optimization models using data from BIM to enhance automatic project schedule generation or to optimize the exploitation of interior storage spaces in buildings and facility layout and material handling. Although these studies showed the potential to improve productivity in the construction industry, there is still a need for enhanced and new innovative CSC models.Therefore, in this research program, we will consider CSCM within the context of BIM. The long-term research objective is to provide an automated BIM-based framework for construction supply chain management. Using automatic data extraction from a BIM file, we will develop sophisticated supply chain optimization models that fit the reality of construction projects. Here, the critical decisions for CSC planning (strategic, tactical and operational) are conducted in the early phase of planning based on data provided by BIM. In this way, it is possible to interact with the designer very rapidly for revisions, and finally, provide more precise estimation for budget and project schedule. The innovation of our approach is that CSCM will be easily integrated into the design phase, offering the possibility to increase collaboration between designers and CSC stockholders, which is one of the critical challenges in managing complex projects in construction. To address these issues and achieve the long-term objective, the applicant will organize the research program into three short-term goals. The first goal is to develop the system architecture for data extraction from BIM, ready to be used for construction supply chain management. The second goal of the research program will focus on the development of a new multi-objective supply chain optimization models connected to the “CSMC-BIM” model. Finally, the third goal is to develop decision-making models for risk mitigation in BIM-based CSCM.