par Harou, Pauline ;Ben Rajeb, Samia
Editeur scientifique T. Pham, Timothy;Nwokoro, Ejike
Référence IARIA Congress(3: from June 30, 2024 to July 4, 2024: Porto, Portugal), IARIA Congress 2024, The 2024 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications, Ed. 3, page (95-100)
Publication Publié, 2024-06-30
Editeur scientifique T. Pham, Timothy;Nwokoro, Ejike
Référence IARIA Congress(3: from June 30, 2024 to July 4, 2024: Porto, Portugal), IARIA Congress 2024, The 2024 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications, Ed. 3, page (95-100)
Publication Publié, 2024-06-30
Publication dans des actes
Résumé : | This article marks the beginning of an innovative initiative aimed at integrating construction labour productivity measurements into the 3D Building Information Model / Modeling / Management (BIM) digital model, actively involving the workforce in real-time execution data encoding. Adopting a human-centered approach, the main objective is to ensure the tool's adoption and adaptation to the specificities of the existing processes and the construction site context. To achieve this, the article seeks to understand current performance tracking practices and identify emerging user needs through in-depth analysis of their activity. The research methodology combines field immersion with semi-structured interviews involving various stakeholders of a construction company. This approach helps to define the existing workflow of performance tracking and to identify three distinct typologies of use and their related characteristics. Additionally, the article highlights several challenges related to the integration of labour productivity into the BIM model by connecting it to the 3D objects. These include the need for a comprehensive definition of performance calculation, the accuracy of digital models to extract acceptable quantities, ease of encoding by foremen and stakeholders’ perceptions of benefits in a context of major subcontracted activities. Finally, the initial development hypotheses are introduced, laying the groundwork for a new approach to improving performance monitoring practices in the construction sector. |