Grant: Collaborative Research and Development Grants
University of Alberta
$100,000.00
Production line improvement and automation of design and drafting through the application of building information modelling
FY 2016-17
Summary
The demand for effective production methods is exponentially increasing, and, to meet this demand, many industry professionals seek to industrialize the building construction process. The aim of the proposed research is to allow the industry partner to increase the productivity of their design and construction phase, and by improving quality control, as well as overcoming current challenges within the manufacturing process. The proposed methodology is divided into nine major tasks. In the design phase, the ultimate goal is to move from the current 2D practice to full-capacity BIM. A time study will then be performed on the fabrication of a number of modules in order to quantify resource requirements for component fabrication at each station in order to extract a resource allocation plan from the BIM model; this measure will increase accuracy in budget planning. In the manufacturing phase, challenges exist with the current production process. A time study and analysis are required to identify the deficiencies and the potential corresponding improvements to the current state. In terms of productivity and the physical demands of tasks on production line personnel, an investigation of automated machinery is vital in order to replace the current highly labour-intensive operations. Another goal is to develop optimal scheduling for manufacturing, transportation, and assembly of modules. Another task will be to develop a simulation visualization model of the factory production line that visualizes the manufacturing process in order to evaluate future-state improvements. This study aims to develop tools and techniques which will serve as a handbook for general use in the field of modular manufacturing. Ultimately, developing an efficient and cost-effective construction manufacturing system is expected to contribute to industry by decreasing production costs and time, extending the construction season, and increasing quality and durability. The successful completion of this research will ultimately translate to the advancement of Canada's construction industry. By promoting sustainable materials, designs, and practices, the proposed study will also serve to curtail the GHG emissions and material waste associated with construction.
Program
Collaborative Research and Development Grants
Recipient
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
470067-2014
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
2016
Competition year année de concours
2014
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
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Partie
2
Nb partie
2
Application title
Production line improvement and automation of design and drafting through the application of building information modelling
Keyword
NSERC
Application summary
The demand for effective production methods is exponentially increasing, and, to meet this demand, many industry professionals seek to industrialize the building construction process. The aim of the proposed research is to allow the industry partner to increase the productivity of their design and construction phase, and by improving quality control, as well as overcoming current challenges within the manufacturing process. The proposed methodology is divided into nine major tasks. In the design phase, the ultimate goal is to move from the current 2D practice to full-capacity BIM. A time study will then be performed on the fabrication of a number of modules in order to quantify resource requirements for component fabrication at each station in order to extract a resource allocation plan from the BIM model; this measure will increase accuracy in budget planning. In the manufacturing phase, challenges exist with the current production process. A time study and analysis are required to identify the deficiencies and the potential corresponding improvements to the current state. In terms of productivity and the physical demands of tasks on production line personnel, an investigation of automated machinery is vital in order to replace the current highly labour-intensive operations. Another goal is to develop optimal scheduling for manufacturing, transportation, and assembly of modules. Another task will be to develop a simulation visualization model of the factory production line that visualizes the manufacturing process in order to evaluate future-state improvements. This study aims to develop tools and techniques which will serve as a handbook for general use in the field of modular manufacturing. Ultimately, developing an efficient and cost-effective construction manufacturing system is expected to contribute to industry by decreasing production costs and time, extending the construction season, and increasing quality and durability. The successful completion of this research will ultimately translate to the advancement of Canada's construction industry. By promoting sustainable materials, designs, and practices, the proposed study will also serve to curtail the GHG emissions and material waste associated with construction.