Engineering the integrated wood supply system for a more competitive Canadian forest products industry

森林环境对进行工业加工提出了重大挑战。恶劣的工作条件，偏远，众多的变化来源导致整个供应链（SC）的不确定性，并对绩效产生负面影响。虽然通过合作规划可以取得重要成果，但其他方面需要具体干预。改善森林木材向木材厂的流动的一个重要障碍是缺乏关于森林、树干和加工木材库存的全面和可靠的数据。高昂的收集成本只是造成这一缺陷的部分原因。对于传统操作来说，如果工业要求与林内产能保持一致，则生物能源和生物精炼纤维等新产品需要适应的库存和数据采集系统。目前还没有办法确保这种协调是可能的。妨碍木材供应链更有效运作的另一个障碍可能与气候和场地条件引起的重大变化有关，这些变化使交货过程难以预测。虽然减少这些变化并不总是可能的或经济上可行的，预计先进的建模技术可以预测，预测和建议courseofoperations.This CRD研究计划提出与工业合作伙伴合作开发的方法和知识，将解决关键问题，负面影响加拿大木材供应链的上游性能。因此，总体目标是通过使用可靠的数据和建模技术来改进在制造设施之外进行的制造实践。具体目标是：1）开发木材到工厂优化的数据和信息系统管理，2）开发和测试木材处理解决方案和库存管理模型，以提高产品质量转换，以及3）优化与制造设备操作，维护和更换相关的木材加工系统。

The forest environment poses significant challenges to conducting industrial processes. The harsh working conditions, remoteness, numerous sources of variations cause uncertainties throughout the supply chain (SC) and negatively affect performance. While important gains are achievable through collaborative planning, other aspects requires specific interventions. One important obstacle to improved forest to mill wood flow is the lack of comprehensive and reliable data concerning forest, stem and processed wood inventories. High collection cost explain only part of this shortcoming. Important for conventional operations, new products such as fiber for bioenergy and biorefining require adapted inventory and data acquisition systems if industrial requirements are to be aligned with in-woods capacity. Means are not yet in place to insure such alignment is possible. Another obstacle impeding more efficient wood supply chain operation can be associated to important variations induced by climatic and site conditions that make the delivery process difficult to predict. While diminishing these variations is not always possible or economically feasible, it is expected that advanced modeling techniques allow to anticipate, predict and suggest course of operations.This CRD research program proposes to develop in partnership with industrial partners methods and knowledge that would solve key issues that negatively affect the upstream performance of canadian wood supply chain. The general objective is therefore to improve through the use reliable data and modeling technique manufacturing practices carried out outside manufacturing facilities. The specific objectives are 1) to develop data and information system management for wood to mill optimisation, 2) to develop and test wood handling solutions and inventory management models for improved quality to product transformation, and 3) to optimize in-woods processing systems related to manufacturing equipment operations, maintenance and replacement.