Smart Product Design for Sustainable Manufacturing

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、制造和业务的复杂程度。本研究中考虑的产品遵循ISO 9000指南中描述的工程特定视角。根据该准则，产品是一种物理或数字商品，由增值过程（即制造过程）产生。此外，智能产品和系统是信息物理系统（CPS），需要新的工程设计理论和方法，能够处理CPS的多学科复杂性。 为了应对这些挑战，在早期和最近的发现研究中开发了设计理论和方法（DTM）和协作工程的科学方法，以及管理工程系统复杂性的方法。最近，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。 在此背景下，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）可变和可重构制造系统的设计;和C）全球供应链的设计意想不到的。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，关系和功能，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（“工业4.0”）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。复杂性的类型可以分为静态或动态，复杂性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。

Manufacturing is facing unprecedented challenges due to increased variety, market volatility and distributed global manufacturing. The breadth of complexity of the design process, products, manufacturing, and business must be considered throughout the products life cycle. The products considered in this research follow the engineering specific perspective described in the ISO 9000 guideline. In accordance with this guideline a product is a physical or digital good, resulting from a value adding process (i.e. manufacturing process). Furthermore, smart products and systems are cyber-physical systems (CPS), and there is a need for new engineering design theories and methodologies capable of dealing with the multi-disciplinary complexity of CPS. To address these challenges, scientific approaches to design theories and methodologies (DTM) and collaborative engineering have been developed in earlier and recent discovery research, as well as ways to manage the complexity of engineered systems. Recently also 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. In this context, this research will investigate three new aspects: A) Engineering design methodologies for smart products; B) Design of changeable and reconfigurable manufacturing systems; and C) Design of global supply chains for the unexpected. The three topics share fundamental design theories and methodologies (DTM), from the functional and physical perspectives, and discrete mathematics: set theories, relations and functions, and 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 (“Industry 4.0”). The scope of complexity includes: 1) product, 2) system, and 3) system of systems such as a global supply chain. The type of complexity may be classified as static or dynamic, and complexity is 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.