Methods and techniques for integrated manufacturing planning, monitoring and control

有效的计划、监测和控制对加拿大制造业的竞争力至关重要。这项研究计划旨在加强这些密切相关的活动。我们的直接目标是处理六个相互依赖的项目：(1)集成和交互的工厂和机器级别的规划；(2)集成的产品模块化和制造资源重组；(3)本地化的多特征提取；(4)用于故障诊断、状态预测和故障链发现的混合特征融合；(5)规划目标导向和基于条件的控制；以及(6)控制和监测功能的集成。这项研究计划是我们以前在这些领域的研究的实质性延伸。我们的长远目标是继续致力于知识创造和技术创新，以便在制造业和其他工业领域进行有效的规划、监测和控制。该研究计划的长期和短期目标都直接与NSERC的两个战略目标领域保持一致，即竞争性制造和安全与保障。该方案的预期结果包括计划集成的多层次模型和高效算法，并行产品模块化和制造资源重组的实用方法，动态环境中多任务故障检测和预测的可行技术，车间动态处理的目标制导和基于条件的控制方案，以及用于故障限制和过程中故障避免的集成控制监控技术。这些成果将导致规划、监测和控制方面的重大知识进步。预计新的方法和技术将被转移到加拿大的制造业、能源、国防和交通行业。将培训高素质的人员，以迎接未来的挑战。

Effective planning, monitoring and control are crucial to the competitiveness of Canadian manufacturing industry. This research program aims to enhance these closely related activities. Our direct objectives are to tackle six interdependent projects: (1) integrated and interactive plant- and machine-level planning; (2) integrated product modularization and manufacturing resource reconfiguration; (3) localized multi-feature extraction; (4) hybrid feature fusion for fault diagnosis, condition prediction and fault-chain discovery; (5) planning-goal guided and condition-based control; and (6) integration of control and monitoring functionalities. This research program is a substantial extension of our previous studies in these areas. The long-term objectives are to continue our efforts in knowledge creation and technology innovation for effective planning, monitoring and control in manufacturing and other industrial sectors. Both the long and short-term objectives of this research program are directly aligned with two of the NSERC strategic target areas, i.e., Competitive Manufacturing, and Safety and Security. The expected outcomes of the proposed program include multi-level models and efficient algorithms for planning integration, practical methods for concurrent product modularization and manufacturing resource reconfiguration, viable techniques for multi-task fault detection and prediction in a dynamic environment, goal-guided and condition-based control schemes for shop floor dynamics handling, and integrated control-monitoring techniques for fault confinement and in-process failure avoidance. These results will lead to significant knowledge advancements in planning, monitoring and control. It is expected that new methods and techniques will be transferred to Canadian manufacturing, energy, defense and transportation industries. Highly qualified personnel will be trained to meet future challenges.