Forest products stochastic modelling group: advanced manufacturing and product development

加拿大拥有独特多样的森林资源，为加拿大和出口市场提供了安全可靠的建筑产品。随着建筑产品市场竞争的加剧和产品性能预期的提高，应用先进的统计技术对全系列生物基产品固有的变异性进行建模的能力是生产商和监管机构预见产品和生产技术的必要工具，这些产品和生产技术是使纤维性能与市场需求相匹配所必需的。从整体上看这个动态的随机系统，拟议的研究计划将继续在NSERC合作研究和开发补助金的五年下开始的工作，以开发有助于行业应对这些挑战的统计方法。特别是，它将产生以下成果：对制成品(尤其是木材)中的这些标准进行预防性调查的最佳方式；利用统计关系降低这些调查成本的方法；将木材分组以进行营销的新方法；了解长期压力的影响；以及最后改进的复合材料测试方法。这项工作的主要成果将是：继续发展一支即使在该计划结束后仍可征求统计咨询意见的专家团队，一批具有在私营和公共部门工作的可转让技能的统计毕业生；以及新的统计理论和知识，这是解决该领域真正困难问题的结果。

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 continue work begun under a five year NSERC Collaborative Research and Development Grant, to 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; learning the effects of long term stress; and finally improved methods for testing composite materials. Major outcomes of the work will be: continued development of 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.