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越来越激烈，产品性能期望值越来越高，应用先进的统计技术对全系列生物基产品固有的可变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。以这个动态随机系统的整体观点，拟议的研究计划将继续根据五年NSERC合作研究和开发赠款开始的工作，以开发统计方法，帮助行业应对这些挑战。特别是，它将产生：最佳的方法，使预防性调查的标准，在制成品，特别是木材;方法，利用统计关系，以减少这些调查的成本;新的方法，分组木材营销;学习的影响，长期应力;和最后改进的方法，测试复合材料。 这项工作的主要成果将是：继续发展一个专家小组，即使在该方案结束后，他们也可以在这一领域提供统计咨询意见;一批统计毕业生，他们具有在私营和公共部门工作的可转移技能;以及新的统计理论和知识，这是解决这一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.