یک مطالعه مبتنی بر هستی شناسی چارچوب مدیریت ریسک پروژه های ساخت و ساز از طریق چرخه عمر پروژه

The process knowledge assets make a substantial contribution to the risk management (RM) for contractors in the construction phase. To effectively reuse these assets, knowledge extraction becomes a significant research area. This paper was designed to explore an approach to conduct knowledge extraction by establishing project risk ontology. Specifically, the study proposed the ontology-based risk management (ORM) framework to enhance the RM performance by improving the RM workflow and knowledge reuse. The ORM framework facilitated the identification, analysis, and response of project risks. This study validated the ORM framework through a case demonstration. Through the implementation and application, the results demonstrated that the ORM framework was able to apply to the RM workflow for contractors, and more importantly, it greatly increased the effectiveness of project RM.

The characteristics of the construction industry include product uniqueness, on-site production, and ad hoc project teams with high turnover rate [34] and [52]. Subsequently, it has been difficult for the construction industry to coordinate, store, and reuse knowledge that is obtained between the organization and its individuals. Therefore, the construction industry needs to acquire, store and reuse knowledge in order to increase project performance. Previous studies had suggested the organization should conduct knowledge management through methods of project reports or lessons learned [15], [29] and [42].

This ORM framework aimed to verify the project risk ontology could enhance RM workflow performance within the construction organization by case study, and hence decrease risk impact on the project. Through the implementation of the ORM framework and the ontology development model, the selected contractor could integrate knowledge reuse in the RM operation. Consequently, based on knowledge accumulation and reuse, the aforementioned RM problems could also be overcome and hence support the RM decision making.