Grant: Collaborative Research and Development Grants
University of Alberta
$100,000.00
An automated 3D CAD model-based decision support system (DSS) for general contracting of off-site building construction projects
EF 2014-15
Résumé
Industrialized construction creates new requirements for project design, planning, and execution, necessitating a well-structured Decision Support System (DSS) to accommodate the manufacturing process and on-site assembly needs. Existing tools are not designed to readily support the off-site or modular construction process, which requires continuous improvement in the production line, building process, building materials, and components. While there are a number of criteria to be considered when improving the manufacturing process, cost is the key factor due to scarcity of resources and a high level of competition in the marketplace. Targetcost analysis (TCA) establishes the framework for the design-estimate phase, and the detailed set of shop drawings provides accurate material take-off lists that facilitate automation. Moreover, the objectives of this proposed research will be achieved through a two-step process: (1) development of a TCA model, where a hierarchical multi-level analysis, divided into categories, subcategories, and elements, creates a dynamic system connecting the cost and design process/manufacturing and on-site assembly; and (2) on-site assembly management and productivity analysis, where a comprehensive productivity analysis system is performed for the on-site activities to improve project delivery. The outcomes are expected to make a positive impact on Canadian society economically, socially, and environmentally. The result of this work will be a reduced overall cost by automatically exploring all the available and compatible building components. This will be translated into reduction in residential pricing through the continuous process of cost reduction and innovation. In terms of social benefits, off-site construction entails that the majority of tasks are performed in a controlled factory, thus reducing the reliance on on-site activities that are the primary contributors to injury and mortality in construction. Improving the efficiency of the construction operations while reducing the likelihood of work stoppages by enabling an increase in factory-based operations will also decrease construction duration, minimize material waste, and reduce emissions.
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
462766-2013
Name nom
AlHussein, Mohamed
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
2013
Award amount
100000
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
1
Nb partie
2
Application title
An automated 3D CAD model-based decision support system (DSS) for general contracting of off-site building construction projects
Keyword
NSERC
Application summary
Industrialized construction creates new requirements for project design, planning, and execution, necessitating a well-structured Decision Support System (DSS) to accommodate the manufacturing process and on-site assembly needs. Existing tools are not designed to readily support the off-site or modular construction process, which requires continuous improvement in the production line, building process, building materials, and components. While there are a number of criteria to be considered when improving the manufacturing process, cost is the key factor due to scarcity of resources and a high level of competition in the marketplace. Targetcost analysis (TCA) establishes the framework for the design-estimate phase, and the detailed set of shop drawings provides accurate material take-off lists that facilitate automation. Moreover, the objectives of this proposed research will be achieved through a two-step process: (1) development of a TCA model, where a hierarchical multi-level analysis, divided into categories, subcategories, and elements, creates a dynamic system connecting the cost and design process/manufacturing and on-site assembly; and (2) on-site assembly management and productivity analysis, where a comprehensive productivity analysis system is performed for the on-site activities to improve project delivery. The outcomes are expected to make a positive impact on Canadian society economically, socially, and environmentally. The result of this work will be a reduced overall cost by automatically exploring all the available and compatible building components. This will be translated into reduction in residential pricing through the continuous process of cost reduction and innovation. In terms of social benefits, off-site construction entails that the majority of tasks are performed in a controlled factory, thus reducing the reliance on on-site activities that are the primary contributors to injury and mortality in construction. Improving the efficiency of the construction operations while reducing the likelihood of work stoppages by enabling an increase in factory-based operations will also decrease construction duration, minimize material waste, and reduce emissions.