Development of optimal joint strategies and an intelligent decision model for lockout/tagout, maintenance and production in a smart manufacturing context

开发智能制造背景下的上锁/挂牌、维护和生产的最佳联合策略和智能决策模型

• 批准号: 577072-2022
• 负责人: Hof, LucasLA
• 金额: $ 1.46万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=754310
• 关键词: Development; optimal; joint; strategies; intelligent

This four-year research project aims to develop a strategic and operational implementation plan for an intelligent approach to integrate safety management processes of production systems in factories. Such safety protocol management is needed for e.g. equipment maintenance operations in manufacturing plants. The involved graduate students will develop novel safety management strategies using Artificial Intelligence, based on available, practical data. Two industrial partners in the field of manufacturing and safety management, Conformit and Cascades, will be involved in this study. Intelligent instruction and decision tools for joint safety management, production and maintenance optimization will be developed, implemented and validated using Cascades cardboard and paper plant as testbed.The strong involvement of experts at both industrial partners, their vast client portfolio and strategic planning will allow to efficiently transfer the knowledge achieved by this research project to other manufacturing plants across Canada and beyond to increase the safety of workers.

这个为期四年的研究项目旨在制定一个战略和运营实施计划，以智能方法整合工厂生产系统的安全管理流程。这种安全协议管理对于例如制造工厂中的设备维护操作是需要的。参与的研究生将根据现有的实际数据，使用人工智能开发新的安全管理策略。在制造和安全管理领域的两个工业合作伙伴，Conformit和Cascades，将参与这项研究。将使用Cascades纸板和造纸厂作为试验平台，开发、实施和验证用于联合安全管理、生产和维护优化的智能指导和决策工具。他们庞大的客户组合和战略规划将允许有效地将该研究项目所获得的知识转移到加拿大及其他地区的其他制造工厂，以增加工人的安全。