Grant: Collaborative Research and Development Grants
École de technologie supérieure
$126,253.00
Optimization of the information flow using BIM within the construction supply chain
EF 2016-17
Résumé
According to various studies, construction productivity is decreasing while productivity in the other industry has doubled in forty years. Moreover, the amount of waste in the supply chain related to poor management of information and material is around 30%. Building Information Modelling (BIM) was advertised as the technological solution to solve these problems, but proof of their successful resolution using BIM is yet to be demonstrated. The core issue is the lack of theoretical and empirical foundations to its implementation. The root problem is about information processing. While BIM is providing a shared platform to exchange data between different software, it is an incomplete solution, not addressing socio-technical aspects of workflow and dataflow management.The main objective of this research is to optimize the information processing using BIM or other technologies. Specific objectives are: (1) to develop design rules and related Application Programming Interfaces (API) for data production and exchanges in the design process aiming at continuous optimization; (2) to reduce overproduction of information in this process, deriving best practices from manufacturing.One original aspect of this research is the methods devised to generate and formalize new practice knowledge. This research builds on new approaches developed in Information Technology and Organisational Science in which a cycle of iterations between investigations and interventions bring changes and formalize practice knowledge regarding streamlining of the information processing. By leveraging BIM potential using the results of this research, it will contribute to improve Canadian construction industry delivering sustainable buildings in a more efficient way, and increasing the productivity while reducing the amount of waste in resources and material encountered in the construction process. The aim is to offer a better building product at a lower cost to Canadians while making our industry more competitive.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
479864-2015
Name nom
Forgues, Daniel
Department département
Génie de la construction
Organization id
53
Institution établissement
École de technologie supérieure
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2015
Award amount
126253
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
603
Area of application group en
Construction, urban and rural planning
Area of application group fr
Construction, urbanisme et aménagement rural
Area of application en
Construction methods
Area of application fr
Méthodes de construction
Research subject code
1001
Research subject group en
Civil engineering
Research subject group fr
Génie civil
Research subject en
Construction engineering and management
Research subject fr
Génie et gestion du bâtiment
Partie
2
Nb partie
3
Application title
Optimization of the information flow using BIM within the construction supply chain
Keyword
NSERC
Application summary
According to various studies, construction productivity is decreasing while productivity in the other industry has doubled in forty years. Moreover, the amount of waste in the supply chain related to poor management of information and material is around 30%. Building Information Modelling (BIM) was advertised as the technological solution to solve these problems, but proof of their successful resolution using BIM is yet to be demonstrated. The core issue is the lack of theoretical and empirical foundations to its implementation. The root problem is about information processing. While BIM is providing a shared platform to exchange data between different software, it is an incomplete solution, not addressing socio-technical aspects of workflow and dataflow management.The main objective of this research is to optimize the information processing using BIM or other technologies. Specific objectives are: (1) to develop design rules and related Application Programming Interfaces (API) for data production and exchanges in the design process aiming at continuous optimization; (2) to reduce overproduction of information in this process, deriving best practices from manufacturing.One original aspect of this research is the methods devised to generate and formalize new practice knowledge. This research builds on new approaches developed in Information Technology and Organisational Science in which a cycle of iterations between investigations and interventions bring changes and formalize practice knowledge regarding streamlining of the information processing. By leveraging BIM potential using the results of this research, it will contribute to improve Canadian construction industry delivering sustainable buildings in a more efficient way, and increasing the productivity while reducing the amount of waste in resources and material encountered in the construction process. The aim is to offer a better building product at a lower cost to Canadians while making our industry more competitive.
