Smart Products and System Design for Sustainable Manufacturing

可持续制造的智能产品和系统设计

• 批准号: RGPIN-2016-05061
• 负责人: ElMaraghy, Waguih
• 金额: $ 2.11万
• 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: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=615475
• 关键词: Smart; Products; System; Design; Sustainable

Manufacturing is facing unprecedented challenges due to increased variety, market volatility and distributed global manufacturing. The complexity of the design process, products, manufacturing, and business must be considered throughout the products life cycle. A product is a physical or digital good, resulting from a value adding processes (e.g. manufacturing process). New smart products and systems are adaptable cyber-physical systems (CPS), and there is a need for new engineering design theories and methodologies (DTM) capable of dealing with the multi-disciplinary complexity of CPS. To address these challenges DTM, collaborative engineering as well as complexity theories will be adapted for managing the complexity of engineered systems. A new engineering design paradigm has also been introduced by the Applicant: “the quadruple bottom line”. This innovation is based primarily on achieving the traditional triple objectives of the best quality product, economically and in a timely manner, as well as meeting the manufacturing sustainability imperatives. For enterprises to be sustainable in the future, they must adopt continuous innovation requirements and changeability enablers while producing environmentally friendly products and satisfying the socio-technical objectives, hence meeting the quadruple bottom line. This research will investigate three new aspects: A) Engineering design methodologies for smart products; B) Design of changeable manufacturing systems; and C) Design of global supply chains for the unexpected and building strategic flexibility. The three topics share fundamental design theories and methodologies (DTM), from the functional and physical perspectives, and discrete mathematics: set theories, relations and functions as well as graph theory for representing the interactions within the different domains. The research focuses on managing the engineering complexity of smart cyber-physical products and systems. The scope of complexity includes: 1) product, 2) system, and 3) system of systems such as a global supply chain. Both static and dynamic complexity will be considered at both the physical and the functional domains. The results from this research will include methodologies and tools that can be directly applied by systems engineers and managers in industry to control the complexity problems intrinsic in the design of smart products, systems and supply chains. This research will train 2 PhD and 1 Master’s student at a time, for a total of 6 HQP directly and at least another 6 HQP indirectly including a PDF and 4 Bachelor students.

由于品种增加、市场波动和全球制造业的分布式，制造业正面临前所未有的挑战。在整个产品生命周期中，必须考虑设计过程、产品、制造和业务的复杂性。产品是一种物理或数字商品，由增值过程（例如制造过程）产生。新的智能产品和系统是可适应的信息物理系统（CPS），需要能够处理CPS多学科复杂性的新工程设计理论和方法（DTM）。为了应对这些挑战，DTM，协同工程以及复杂性理论将适用于管理工程系统的复杂性。申请人还引入了一种新的工程设计范例：“四重底线”。这一创新主要是基于实现传统的三重目标，即以经济和及时的方式生产最优质的产品，以及满足制造业的可持续发展要求。企业要在未来实现可持续发展，就必须在生产环保产品和满足社会技术目标的同时，采用持续创新的要求和可变性推动因素，从而达到四重底线。 本研究将探讨三个新的方面：A）智能产品的工程设计方法; B）可变制造系统的设计;和C）为意外和建设战略灵活性的全球供应链的设计。这三个主题从功能和物理角度分享基本设计理论和方法（DTM），以及离散数学：集合理论，关系和函数以及表示不同领域内相互作用的图论。该研究的重点是管理智能网络物理产品和系统的工程复杂性。复杂性的范围包括：1）产品，2）系统，3）系统的系统，如全球供应链。静态和动态的复杂性将被认为是在物理和功能域。 这项研究的结果将包括系统工程师和工业管理人员可以直接应用的方法和工具，以控制智能产品，系统和供应链设计中固有的复杂性问题。本研究将培养2名博士生和1名硕士生，总共直接培养6名HQP，间接培养至少6名HQP，包括1名PDF和4名本科生。