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: $ 4.66万
• 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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=712302
• 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.

客户偏好和动态需求波动所驱动的产品范围广泛，引入了挑战，直接影响制造系统的设计和操作，以有效地应对这些变化。适应性，可重新配置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，灵活和可重新配置系统的新知识和创新推动者。这项领先的研究强调了制造产品从设计产品到制造的整体整体综合观点，并针对三个重要主题：a）设计合成和共同开发产品的组装系统，使用共同平台成型，以适应性和有效的重新配置，以确保其适应性制造系统对智能制造系统的响应措施，以用于更改和智能互动和破坏材料和CRONTICTIONT和CONTITY TWINEST和CONTICTIONT和CRYTIRTINT and INTILLSTITINT和CONTINTINT TWIMITS和CRIMTATION和C）。研究结果将使用工业测试案例进行验证，并使用智能制造系统（IMS）中心的模块化和可更改的学习工厂（IFACTORY）证明。 将制造系统设计与产品功能相结合的创新模型使用新的“共同配置”方法，将实现系统的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可用的寿命并提高其经济可持续性。数字智能制造系统需要适应性的设备和操作策略，以应对商店地板上越来越多的变化。适应性非线性组装序列网络的新方法将使制造商能够快速有效地更改路由和产品/机器分配，以响应产品，以及在商店地板上的产品变化和破坏。具有内置智能的制造系统的数字双（阴影）将使他们基于事件的适应过程动作和智能操作能够实现其基于事件的适应性操作。这三个项目将为大型和中型制造商提供更聪明的智能制造。 该研究计划将为26多个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，例如学习工厂（IFACTORY）。他们还将通过参加工业研究项目和合作来获得实践经验。 计划的研究对于加拿大计划在智能制造范式的最前沿具有战略意义。其结果的应用将使制造系统在经济上可持续发展。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。