Reference number : GC-2017-Q4-00041, amendment number : , agreement type : G, recipient legal name : Al-Hussein, Mohamed (University of Alberta), recipient country : CA, recipient province : nan, recipient city : Alberta, recipient postal code : nan, program name english : Collaborative Research and Development Grants - Project, program name french : Subventions de recherche et développement coopérative - projet, program purpose english : ACQBUILT Inc., a leading panelized construction company in Canada, has been actively investing and_x000D_
participating in research projects with the University of Alberta in recent years. The principal investigator, has_x000D_
successfully completed several research projects with ACQBUILT encompassing productivity improvements,_x000D_
ergonomics analysis, lean manufacturing, and applications of information technology (e.g., RFID). The RFID_x000D_
project was the first known implementation of RFID technology in panelized construction. The factory layout_x000D_
and ergonomics studies are still in progress. The PI and the industry partner for this proposed project have_x000D_
identified a shortage of information and communication technology in panelized construction, as well as the_x000D_
need for application of the smart factory concept to improve the overall panelized construction process. As_x000D_
such, through this project the team is seeking to gain a more comprehensive understanding of, and to_x000D_
implement improvements to, current practice in panelized construction. The primary objective of this research_x000D_
is to improve panelized construction operation, including both on and offsite activities, by applying Smart_x000D_
Factory concepts. It will encompass (1) a review of current practice and time study for logistics and on-site_x000D_
assembly; (2) time study of logistics and on-site assembly; (3) collection of live data stream using barcode_x000D_
technology; (4) application of artificial intelligence in logistics decision making; (5) visualization of logistics_x000D_
data using web application; (6) application of projection-based augmented reality in panel manufacturing; and_x000D_
(7) development of web-based construction site logistics planning application. This project will enhance_x000D_
industry practice by providing a guideline for applying the Smart Factory concept, providing an economical and_x000D_
simple intelligent construction management system, and opening of new avenues for research in offsite_x000D_
construction. The proposed research can be expected to benefit Canada more broadly in terms of improved_x000D_
efficiency in the panelized construction sector; improved housing affordability; reduced environmental impact_x000D_
of the construction process; and job growth in the construction manufacturing sector, program purpose french : ACQBUILT Inc., a leading panelized construction company in Canada, has been actively investing and_x000D_
participating in research projects with the University of Alberta in recent years. The principal investigator, has_x000D_
successfully completed several research projects with ACQBUILT encompassing productivity improvements,_x000D_
ergonomics analysis, lean manufacturing, and applications of information technology (e.g., RFID). The RFID_x000D_
project was the first known implementation of RFID technology in panelized construction. The factory layout_x000D_
and ergonomics studies are still in progress. The PI and the industry partner for this proposed project have_x000D_
identified a shortage of information and communication technology in panelized construction, as well as the_x000D_
need for application of the smart factory concept to improve the overall panelized construction process. As_x000D_
such, through this project the team is seeking to gain a more comprehensive understanding of, and to_x000D_
implement improvements to, current practice in panelized construction. The primary objective of this research_x000D_
is to improve panelized construction operation, including both on and offsite activities, by applying Smart_x000D_
Factory concepts. It will encompass (1) a review of current practice and time study for logistics and on-site_x000D_
assembly; (2) time study of logistics and on-site assembly; (3) collection of live data stream using barcode_x000D_
technology; (4) application of artificial intelligence in logistics decision making; (5) visualization of logistics_x000D_
data using web application; (6) application of projection-based augmented reality in panel manufacturing; and_x000D_
(7) development of web-based construction site logistics planning application. This project will enhance_x000D_
industry practice by providing a guideline for applying the Smart Factory concept, providing an economical and_x000D_
simple intelligent construction management system, and opening of new avenues for research in offsite_x000D_
construction. The proposed research can be expected to benefit Canada more broadly in terms of improved_x000D_
efficiency in the panelized construction sector; improved housing affordability; reduced environmental impact_x000D_
of the construction process; and job growth in the construction manufacturing sector, agreement title english : Application of smart factory concepts in panelized construction manufacturing, agreement title french : Application of smart factory concepts in panelized construction manufacturing, agreement number : CRDPJ, agreement value : 160000.0, agreement start date : 2018-01-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2019-2020)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2019-2020)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada