Improving Wood Supply System performance for a more competitive forest products industry

提高木材供应系统性能，打造更具竞争力的林产品行业

• 批准号: 533968-2018
• 负责人: Beaudoin, Daniel
• 金额: $ 5.39万
• 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: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=719963
• 关键词: Improving; Wood; Supply; System; performance

The forest environment poses significant challenges to conducting industrial processes. The harsh working conditions, natural variability of the trees and terrain, labor shortage and numerous sources of variation negatively affect performance of the Wood Supply System (WSS). One important obstacle to improvement is the lack of comprehensive and reliable data concerning standing forest, and process specific data related to production and product quality throughout the WSS. On-board computers provide the opportunity to collect data on stems and logs attributes that could improve operation planning and control, and the accuracy and precision of National Forest Inventory.This research program aims at providing the Canadian forest industry with knowledge, methods and innovative tools to improve its competitiveness. It focuses on activities and processes of the wood supply system (WSS) located upstream of the wood processing mills. This proposal is part of the FORAC 4.0 research program and builds on research efforts conducted by the research consortium in recent years. It further develops expertise and knowledge for the forest to mill dimensions of the wood supply chain. Our research will be supported by a multidisciplinary team of researchers from forest engineering, industrial engineering, and computer science. This expertise is required to address problems identified by academics and industry leaders as impeding efficiency of Canadian wood supply systems. By improving wood supply chain data acquisition and management, this research program aims at improving operation planning and control, improving product quality and enhancing in-wood activities and processes productivity. Our methodologies rely on process modeling, operations research methods, and statistics. Close involvement of industrial partners is central to our approach as they will provide sites, data and facilities for case study and experimentations. This initiative will contribute to the modernization of the forest engineering field in Canada. Seven HQP will be trained during the course of this proposal (2 Ph.D., 5 M.Sc.) and two students will be hired for internships.

森林环境对进行工业加工构成重大挑战。恶劣的工作条件、树木和地形的自然变异性、劳动力短缺和众多的变异源对木材供应系统(WSS)的性能产生了负面影响。改进的一个重要障碍是缺乏关于森林现状的全面和可靠的数据，以及在整个世界森林监测系统中缺乏与生产和产品质量有关的具体数据。车载计算机提供了收集树干和原木属性数据的机会，这些数据可以改善作业计划和控制，以及国家森林资源清查的准确性和精确度。该研究计划旨在为加拿大林业提供知识、方法和创新工具，以提高其竞争力。它侧重于木材加工厂上游的木材供应系统(WSS)的活动和过程。这项建议是FORAC 4.0研究计划的一部分，建立在研究联盟近年来进行的研究努力的基础上。它进一步开发了森林的专业知识，使其能够满足木材供应链的各个方面的需求。我们的研究将得到来自森林工程、工业工程和计算机科学的多学科研究团队的支持。需要这种专业知识来解决学者和行业领袖确定的阻碍加拿大木材供应系统效率的问题。通过改进木材供应链数据采集和管理，本研究计划旨在改善运营计划和控制，提高产品质量，并提高木材内部活动和工艺生产率。我们的方法依赖于过程建模、运筹学方法和统计学。行业合作伙伴的密切参与是我们方法的核心，因为他们将为案例研究和实验提供场地、数据和设施。这一倡议将有助于加拿大森林工程领域的现代化。在本计划的过程中，将培训7名HQP(2名博士，5名硕士)两名学生将被录用实习。