Search results

Many applications of Building Information modelling (BIM) are already integrated into project management processes. However, the construction industry is suffering from poor decision-making, especially during procurement where fundamental decisions are made. To make the best decisions at earlier project stages, such as design, large amount of information needs to be processed and classified. Therefore, this study seeks to create a Decision Support System (DSS) for construction procurement through the application of existing informatics infrastructure and BIM applications.

Literature review expert interviews and case studies with complex procurement considerations were used to identify and validate attributes and criterions for procurement decision-making. Accordingly, Multi-Attribute Utility Theory (MAUT) methodology was used and mathematical models were driven as the foundation for a DSS.

Five major criterions of time, cost, relationship quality, sustainability and quality of work performed was identified for complex construction procurement decision-making. Accordingly, a DSS structure and mathematical model was proposed. Based on this a model architecture was developed for the integration of the DSS into Autodesk Revit as a BIM platform, and assist in pre-contract decision-making.

The results can be used in pre-contract selection processes via currently used BIM applications. The model architecture can integrate DSS outputs to nD models, cloud systems and potentially virtual reality facilities to facilitate better construction operations and smarter more automated processes.

This study formulates and captures complex and unstructured information on construction procurement into a practical DSS model. The study provides a link to integrate solutions with already available platforms and technologies. The study also introduces the concept of designing for procurement; which can be expanded to other challenging decisions during construction.

Through a case study for Iran, this research seeks to pinpoint the dominant causes of delay and cost overruns in two standard Support of Excavation methods (Bracing strut and top-down construction) in deep excavation projects from various points of view involving contractors, consultants and owners. This investigation identifies the root causes, compares them with existing literature to find similarities and differences with tunnelling and construction projects and proposes practical solutions.

The primary factors were identified after an extensive literature review and expert interview. Subsequently, a questionnaire was designed to classify related factors, considering impact indices, occurrence likelihood and overall significance. Eventually, the findings of the analysis were visually represented through cause-and-effect diagrams.

The results indicate that “inflation and exchange rate fluctuation” is the top-rated cause, followed by designers’ limited overall perspective of implementation issues. Also, comparing the roles of related teams shows that the contractor sector is the most responsible for delay and overruns in both methods. Finally, practical solutions are presented regarding the main affecting factors.

Prior research often addresses delay and costs in construction, but insufficient focus is given to deep excavation projects, particularly in Iran. This study not only fills the identified knowledge gap but also delves into the causes of delay, pursued until the fourth bone in some cases and proposes a solution framework derived from previous research, case studies and expert insights to mitigate construction delay.