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

供应链管理（SCM）在提高建筑管理绩效方面的重要性自20世纪90年代以来一直受到认可。尽管如此，许多项目仍然需要较长的时间才能完成，并超出预算。此外，物流规划和优化模型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，有许多尝试通过提供战略，战术和运营规划的决策模型和方法来帮助CSC参与者完成主要的施工阶段。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，改进物流规划存在新的机会。通过将BIM的内置智能与以前的研究工作相结合，最近的研究试图使用BIM数据提出物流优化模型，以增强自动项目进度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。尽管这些研究表明了提高建筑业生产力的潜力，但仍然需要增强和创新的CSC模型。 因此，在本研究计划中，我们将在BIM的背景下考虑CSCM。长期的研究目标是提供一个自动化的BIM为基础的建筑供应链管理框架。通过从BIM文件中自动提取数据，我们将开发出适合建筑项目实际情况的复杂供应链优化模型。在这里，CSC规划的关键决策（战略，战术和运营）是在规划的早期阶段根据BIM提供的数据进行的。通过这种方式，可以非常快速地与设计师进行交互以进行修改，并最终为预算和项目进度提供更精确的估计。我们方法的创新之处在于，CSCM将很容易地集成到设计阶段，为增加设计师和CSC股东之间的合作提供了可能性，这是管理建筑中复杂项目的关键挑战之一。 为了解决这些问题并实现长期目标，申请人将把研究计划分为三个短期目标。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。该研究计划的第二个目标将集中在开发一个新的多目标供应链优化模型连接到“CSMC-BIM”模型。最后，第三个目标是在基于BIM的CSCM中开发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.