Collective decision-making with 4D BIM: Collaboration group persona study

Autor: Gilles Halin, Annie Guerriero, Hugo Carvalho, Veronika Bolshakova
Přispěvatelé: Modèles et simulations pour l'Architecture et le Patrimoine (MAP), Ministère de la Culture et de la Communication (MCC)-Centre National de la Recherche Scientifique (CNRS), Luxembourg Institute of Science and Technology (LIST), Psychologie Ergonomique et Sociale pour l'Expérience utilisateurs (PErSEUs), Université de Lorraine (UL)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Advances in Informatics and Computing in Civil and Construction Engineering Proceedings of the 35th CIB W78 2018 Conference
CIB W78 – Information Technology for Construction
CIB W78 – Information Technology for Construction, Oct 2018, Chicago, United States. ⟨10.1007/978-3-030-00220-6_54⟩
Advances in Informatics and Computing in Civil and Construction Engineering ISBN: 9783030002190
DOI: 10.1007/978-3-030-00220-6_54⟩
Popis: International audience; 4D BIM assures more detailed costs and error control, whilst also improving scheduling and coordination. It relies on interoperability and high levels of collaboration, which have increased the value of collective competen-cies. In addition to the competencies, the collaboration group internal influences and subordination must be considered as well. While the knowledge and com-petencies of each and every individual team member are important, BIM allows the team to use the entire set of collective knowledge, skills and competencies, which are the key feature for advanced digital management of the AEC project. Such management requires a successful implementation and efficient use of 4D or nD BIM. This study proposes to summarize collaboration personae of AEC project collaborative groups, and to associate the collective knowledge and competencies to 4D BIM uses. Further, it will be completed with interviews on current 4D practices with BIM professionals. Moreover, through this research, we continue to progress towards a new 4D collective decision-making support proposition.
Databáze: OpenAIRE