Grant: Collaborative Research and Development Grants
University of Alberta
$91,160.00
Advancing project planning and control techniques to improve productivity and competitiveness in industrial construction engineering and management
EF 2014-15
Résumé
Planning and control of industrial construction and maintenance projects is especially challenging, because it must take into consideration multiple work fronts, the large size of the workforce, the concentrated and congested work areas, and the fixed dates for commissioning and starting up production. Over a time span of five years and in collaboration with four industrial construction companies in Alberta, this CRD grant will address various facets of planning and control of industrial construction and maintenance projects, including research and development of advanced techniques for (1) scheduling and logistics simulation, (2) augmented reality and mixed reality modeling, (3) equipment kinematics modeling plus multisite allocation scheduling, and (4) intelligent wireless sensor networks calibrated by artificial neural networks for precise resource tracking and positioning. The proposed CRD will train eight HQPs, including four PhD students and four Master's students. With respect to prototyping integrated systems, the proposed CRD will be focused on addressing issues related to large-scale, reusable modeling with standardized development and integration of various simulation methods. In particular, the CRD will capitalize on the recent development of the COSYE framework from the Co-I's NSERC/Alberta IRC program, which is a high level architecture (HLA) based simulation environment, to integrate different software and information technologies and streamline the development of large-scale, collaborative or integrated models in construction engineering. This CRD project will enhance the competitiveness of the four partner companies and the Alberta construction industry at large through a concerted R & D effort into advancing state-of-the-art methods for project planning and control. In the longer term, this research will contribute to making the industrial sector of the Canadian construction industry competitive globally. We envision in the foreseeable future, in the domain of industrial construction engineering and management, the world will turn to Canada in search of excellence in research and education as well as best practices.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
414616-2011
Name nom
Lu, Ming
Department département
Civil and Environmental Engineering
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2011
Award amount
91160
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
600
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, urban and rural planning
Area of application fr
Construction, urbanisme et aménagement rural
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
4
Nb partie
5
Application title
Advancing project planning and control techniques to improve productivity and competitiveness in industrial construction engineering and management
Keyword
NSERC
Application summary
Planning and control of industrial construction and maintenance projects is especially challenging, because it must take into consideration multiple work fronts, the large size of the workforce, the concentrated and congested work areas, and the fixed dates for commissioning and starting up production. Over a time span of five years and in collaboration with four industrial construction companies in Alberta, this CRD grant will address various facets of planning and control of industrial construction and maintenance projects, including research and development of advanced techniques for (1) scheduling and logistics simulation, (2) augmented reality and mixed reality modeling, (3) equipment kinematics modeling plus multisite allocation scheduling, and (4) intelligent wireless sensor networks calibrated by artificial neural networks for precise resource tracking and positioning. The proposed CRD will train eight HQPs, including four PhD students and four Master's students. With respect to prototyping integrated systems, the proposed CRD will be focused on addressing issues related to large-scale, reusable modeling with standardized development and integration of various simulation methods. In particular, the CRD will capitalize on the recent development of the COSYE framework from the Co-I's NSERC/Alberta IRC program, which is a high level architecture (HLA) based simulation environment, to integrate different software and information technologies and streamline the development of large-scale, collaborative or integrated models in construction engineering. This CRD project will enhance the competitiveness of the four partner companies and the Alberta construction industry at large through a concerted R & D effort into advancing state-of-the-art methods for project planning and control. In the longer term, this research will contribute to making the industrial sector of the Canadian construction industry competitive globally. We envision in the foreseeable future, in the domain of industrial construction engineering and management, the world will turn to Canada in search of excellence in research and education as well as best practices.