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

设计综合木材供应系统，提高加拿大林产品行业的竞争力

• 批准号: 437433-2012
• 负责人: LeBel, Luc
• 金额: $ 5.71万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=533623
• 关键词: Engineering; integrated; wood; supply; system

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.

森林环境对进行工业生产构成重大挑战。恶劣的工作条件、偏远的地理位置、众多的变化源导致整个供应链（SC）的不确定性，并对绩效产生负面影响。虽然通过协作规划可以取得重大成果，但其他方面需要具体干预。改善森林到工厂木材流动的一个重要障碍是缺乏关于森林、树干和加工木材清单的全面和可靠的数据。高昂的收集费用只是这一缺点的部分原因。对于传统作业来说，生物能源纤维和生物精炼等新产品非常重要，如果要使工业需求与森林产能保持一致，则需要适应的库存和数据采集系统。手段还没有到位，以确保这种对齐是可能的。另一个阻碍更有效的木材供应链运作的障碍可能与气候和现场条件引起的重要变化有关，这些变化使交付过程难以预测。虽然减少这些变化并不总是可能的或经济上可行的，但预计先进的建模技术可以预测、预测和建议操作过程。