Design and Enablers of Intelligent Manufacturing Systems

智能制造系统的设计和推动者

• 批准号: RGPIN-2018-03997
• 负责人: ElMaraghy, Hoda
• 金额: $ 9.32万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 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=760488
• 关键词: Design; Enablers; Intelligent; Manufacturing; Systems

The wide scope of products variants driven by customers' preferences and dynamic demand fluctuations introduce challenges which directly impact manufacturing systems design and operation to cope with these changes efficiently and cost effectively. Adaptable, reconfigurable and smart manufacturing help meet these challenges. The proposed research program seeks to develop new knowledge and innovative enablers of intelligent, adaptable, flexible and reconfigurable assembly systems. This leading edge research emphasizes a holistic integrated view of manufacturing from designing products to making them, and targets three important themes: a) Design Synthesis and Co-Development of assembly systems for products variety using Co-platforming to ensure their adaptability and efficient reconfiguration, b) Adaptive routing for smart manufacturing systems responsiveness to change and disruptions, and c) Digital Twins of assembly and manufacturing systems for their intelligent operation. The research results will be validated using industrial test cases and demonstrated using a modular and changeable Learning Factory (iFactory) in the Intelligent Manufacturing Systems (IMS) Center.Innovative models for integrating manufacturing systems design with products features using a new “Co-platforming” methodology will enable systems adaptability and efficient reconfiguration. Co-development of manufacturing systems and evolving products will prolong their useable life and increase their economic sustainability. Digital intelligent manufacturing systems require adaptable equipment and operation strategies to cope with increasingly frequent changes on the shop floor. New methodologies for adaptable non-linear assembly sequence networks will allow manufacturers to change routing and products/machines assignments quickly and efficiently in response to products and production changes and disruptions on the shop floor. A Digital Twin (shadow) of manufacturing systems with built-in intelligence will enable their event-based adaptable process actions and smart operation. All three projects will enable more intelligent smart manufacturing for large and medium manufacturers.The research program will provide valuable learning experience and exposure to state-of-the-Art research and facilities, such as the Learning Factory (iFactory), for more than 26 researchers. They will also gain practical experience by participating in industrial research projects and collaborations.The planned research is of strategic importance to Canada's plan to be at the forefront of the intelligent manufacturing paradigm. Application of its results will make manufacturing systems economically sustainable. It will enhance productivity, performance, and profitability of the important manufacturing sector and increase Canada's global competitiveness.

由客户偏好和动态需求波动驱动的产品变化范围广泛，带来了直接影响制造系统设计和操作的挑战，以有效和经济地应对这些变化。适应性强、可重构和智能制造有助于应对这些挑战。拟议的研究计划旨在开发智能、适应性强、灵活和可重构装配系统的新知识和创新使能器。这项前沿研究强调了从设计产品到制造产品的整体集成视图，并针对三个重要主题：a)使用协同平台对多种产品的装配系统进行设计综合和协同开发，以确保其适应性和有效的重新配置，b)智能制造系统对变化和中断的响应的自适应路由，以及c)装配和制造系统的数字孪生，以实现其智能运行。研究结果将通过工业测试案例进行验证，并在智能制造系统（IMS）中心使用模块化和可变学习工厂（iFactory）进行演示。使用新的“协同平台”方法集成制造系统设计与产品特性的创新模型将使系统具有适应性和有效的重新配置。制造系统和不断发展的产品的共同开发将延长其使用寿命并增加其经济可持续性。数字化智能制造系统需要适应性强的设备和操作策略来应对车间日益频繁的变化。适应性非线性装配序列网络的新方法将允许制造商快速有效地更改路线和产品/机器分配，以响应车间的产品和生产变化和中断。具有内置智能的制造系统的数字孪生（影子）将使其基于事件的适应性过程操作和智能操作成为可能。这三个项目将使大中型制造商的智能制造更加智能化。该研究项目将为超过26名研究人员提供宝贵的学习经验，并接触到最先进的研究和设施，如学习工厂（iFactory）。他们还将通过参与工业研究项目和合作获得实践经验。计划中的研究对加拿大计划走在智能制造范式的前沿具有战略意义。其结果的应用将使制造系统在经济上可持续。它将提高重要制造业的生产率、绩效和盈利能力，并提高加拿大的全球竞争力。