Grant: Collaborative Research and Development Grants
University of Alberta
$155,840.00
Efficiency improvement for a window manufacturer through automation, process improvement, and waste reduction
EF 2019-20
Résumé
All Weather Windows (AWW) is a major window and door manufacturer with nine branches across Canada. Its production process involves many inherent complexities, as AWW produces multiple types of windows and doors at a high volume. AWW is seeking to increase quality while broadening the range of its product offerings, increase its operational efficiency, reduce material waste and rework, and update its estimation procedures. To achieve the production-related goals, the research will encompass the following tasks: (1) production line refinement using simulation and material usage optimization (including detailed workstation analysis and simulation and work centre mapping; (2) Efficiency improvement of automated welders and saws; and (3) research and development for window manufacturing (including development of an in-house thermal testing and development of motorized automated casement windows. Through this research project, AWW aims to eliminate the inefficient practice of outsourcing thermal testing of new window products, to reduce rework by half, to reduce material waste by 20%, to plan and begin fabrication of an automated window casement for integration with smart home platforms, and to increase estimation accuracy in order to reduce inventory discrepancies. The integration of automated window casement fabrication into the window fabrication process constitutes a novel technical solution, while the design and construction of a thermal testing chamber, and algorithms to further automate the production process, will contribute to the existing knowledge base in these areas. It can be expected that through this project the industry partner will benefit through (1) improved productivity, (2) development of affordable and practical automated machinery support for operational processes, and (3) the development of an efficient and cost-effective construction manufacturing system. The research can be expected to contribute to the industry in general by decreasing production costs and time, and by increasing quality and durability.
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
536466-2018
Name nom
Mohamed, Yasser
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
2019
Competition year année de concours
2018
Award amount
155840
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
Research subject code
1700
Research subject group en
Design and manufacturing
Research subject group fr
Conception et fabrication
Research subject en
Design and manufacturing
Research subject fr
Conception et fabrication
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Efficiency improvement for a window manufacturer through automation, process improvement, and waste reduction
Keyword
NSERC
Application summary
All Weather Windows (AWW) is a major window and door manufacturer with nine branches across Canada. Its production process involves many inherent complexities, as AWW produces multiple types of windows and doors at a high volume. AWW is seeking to increase quality while broadening the range of its product offerings, increase its operational efficiency, reduce material waste and rework, and update its estimation procedures. To achieve the production-related goals, the research will encompass the following tasks: (1) production line refinement using simulation and material usage optimization (including detailed workstation analysis and simulation and work centre mapping; (2) Efficiency improvement of automated welders and saws; and (3) research and development for window manufacturing (including development of an in-house thermal testing and development of motorized automated casement windows. Through this research project, AWW aims to eliminate the inefficient practice of outsourcing thermal testing of new window products, to reduce rework by half, to reduce material waste by 20%, to plan and begin fabrication of an automated window casement for integration with smart home platforms, and to increase estimation accuracy in order to reduce inventory discrepancies. The integration of automated window casement fabrication into the window fabrication process constitutes a novel technical solution, while the design and construction of a thermal testing chamber, and algorithms to further automate the production process, will contribute to the existing knowledge base in these areas. It can be expected that through this project the industry partner will benefit through (1) improved productivity, (2) development of affordable and practical automated machinery support for operational processes, and (3) the development of an efficient and cost-effective construction manufacturing system. The research can be expected to contribute to the industry in general by decreasing production costs and time, and by increasing quality and durability.