Reference number : GC-2017-Q4-00718, amendment number : , agreement type : G, recipient legal name : Gul, Mustafa (University of Alberta), recipient country : CA, recipient province : nan, recipient city : Alberta, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Using advanced technologies and a manufacturing-based approach, ACQBUILT, Inc. carries out homebuilding_x000D_
operations from design and prefabrication to delivery and onsite assembly. The partner is also a leader in_x000D_
designing and building energy-efficient homes. To improve the R-value of the wall panels for their_x000D_
energy-efficient home product line, they are looking at incorporating both extruded polystyrene rigid and_x000D_
fibreglass batt insulations to the wall. This energy-efficient design, however, requires additional time and effort_x000D_
during manufacturing. This adjustment of the engineering design alters the process of manufacturing, decreases_x000D_
the productivity of the wall production line, and necessitates adjustments in terms of labour resource allocation_x000D_
in order to balance the workflow. In addition, the increased variety of structural design of the energy-efficient_x000D_
wall panels that the partner plans to produce creates a challenge, as data processing will need to be planned in a_x000D_
manner which provides a complete picture of the differences in time requirements for different products. The_x000D_
aim of this research, then, is to find an optimal solution to these problems, establishing an approach to resource_x000D_
allocation leveraging real-time production data collected using existing radio-frequency identification (RFID)_x000D_
infrastructure in the plant. The underlying objective is to develop an optimal predictive algorithm based upon_x000D_
which to manage resource allocation on the wall production line and improve the productivity of the_x000D_
prefabrication process for energy-efficient homes. While in current practice most enterprises, including_x000D_
ACQBUILT, that use RFID limit its deployment to tracking produced items within their control, further_x000D_
benefits can be derived from the use of RFID. Building on the results of this project, the Canadian construction_x000D_
manufacturing sector can benefit from the application of RFID for resource allocation, thereby improving_x000D_
production efficiency. The emissions incurred per unit produced of this type of energy-efficient home model_x000D_
can also be reduced by decreasing production cycle time, given the fact that industrialized construction_x000D_
activities are carried out in an indoor environment., program purpose french : Using advanced technologies and a manufacturing-based approach, ACQBUILT, Inc. carries out homebuilding_x000D_
operations from design and prefabrication to delivery and onsite assembly. The partner is also a leader in_x000D_
designing and building energy-efficient homes. To improve the R-value of the wall panels for their_x000D_
energy-efficient home product line, they are looking at incorporating both extruded polystyrene rigid and_x000D_
fibreglass batt insulations to the wall. This energy-efficient design, however, requires additional time and effort_x000D_
during manufacturing. This adjustment of the engineering design alters the process of manufacturing, decreases_x000D_
the productivity of the wall production line, and necessitates adjustments in terms of labour resource allocation_x000D_
in order to balance the workflow. In addition, the increased variety of structural design of the energy-efficient_x000D_
wall panels that the partner plans to produce creates a challenge, as data processing will need to be planned in a_x000D_
manner which provides a complete picture of the differences in time requirements for different products. The_x000D_
aim of this research, then, is to find an optimal solution to these problems, establishing an approach to resource_x000D_
allocation leveraging real-time production data collected using existing radio-frequency identification (RFID)_x000D_
infrastructure in the plant. The underlying objective is to develop an optimal predictive algorithm based upon_x000D_
which to manage resource allocation on the wall production line and improve the productivity of the_x000D_
prefabrication process for energy-efficient homes. While in current practice most enterprises, including_x000D_
ACQBUILT, that use RFID limit its deployment to tracking produced items within their control, further_x000D_
benefits can be derived from the use of RFID. Building on the results of this project, the Canadian construction_x000D_
manufacturing sector can benefit from the application of RFID for resource allocation, thereby improving_x000D_
production efficiency. The emissions incurred per unit produced of this type of energy-efficient home model_x000D_
can also be reduced by decreasing production cycle time, given the fact that industrialized construction_x000D_
activities are carried out in an indoor environment., agreement title english : RFID data-driven predictive modelling for resource allocation on a wall manufacturing line for energy-efficient homes, agreement title french : RFID data-driven predictive modelling for resource allocation on a wall manufacturing line for energy-efficient homes, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-02-07, 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 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., 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