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Grant: Collaborative Research and Development Grants

University of British Columbia

$125,000.00

Forest products stochastic modeling group

EF 2009-10

Résumé
Canada has a uniquely diverse forest resource that has provided safe and reliable building products for Canadian and export markets. As the market for building products become more competitive and product performance expectations increase, the ability to apply advanced statistical techniques to model the variability inherent in the full range of bio-based products is a necessary tool for producers and regulators foresee the product and production techniques that are necessary to match the fibre capabilities with the market needs. Taking a holistic view of this dynamic stochastic system, the proposed research program will develop statistical approaches that will help the Industry deal with these challenges. In particular it will yield: optimal ways of making precautionary surveys of those standards in manufactured products notably lumber; ways of exploiting statistical relationships to cut down the cost of those surveys; new methods of grouping lumber for marketing it; and finally improved methods for testing composite materials.  Major outcomes of the work will be: a team of experts who can be called on for statistical advice even after the Program has ended in this area, a cohort of statistical graduates with transferable skills for work in the private as well as public sector; and new statistical theory and knowledge, the result of tackling really difficult problems in this area.
Programme
Collaborative Research and Development Grants
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
381211-2009
Name nom
Zidek, James
Department département
Statistics
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2009
Competition year année de concours
2009
Award amount
125000
Program id
CRDPJ
Program nane 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
503
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Wood, wood products and paper
Area of application fr
Bois, produits du bois et papier
Research subject code
3004
Research subject group en
Statistics and probability
Research subject group fr
Statistique et probabilité
Research subject en
Applied statistics
Research subject fr
Statistique appliquée
Partie
1
Nb partie
5
Application title
Forest products stochastic modeling group
Keyword
NA
Application summary
Canada has a uniquely diverse forest resource that has provided safe and reliable building products for Canadian and export markets. As the market for building products become more competitive and product performance expectations increase, the ability to apply advanced statistical techniques to model the variability inherent in the full range of bio-based products is a necessary tool for producers and regulators foresee the product and production techniques that are necessary to match the fibre capabilities with the market needs. Taking a holistic view of this dynamic stochastic system, the proposed research program will develop statistical approaches that will help the Industry deal with these challenges. In particular it will yield: optimal ways of making precautionary surveys of those standards in manufactured products notably lumber; ways of exploiting statistical relationships to cut down the cost of those surveys; new methods of grouping lumber for marketing it; and finally improved methods for testing composite materials.  Major outcomes of the work will be: a team of experts who can be called on for statistical advice even after the Program has ended in this area, a cohort of statistical graduates with transferable skills for work in the private as well as public sector; and new statistical theory and knowledge, the result of tackling really difficult problems in this area.