Smart Product Design for Sustainable Manufacturing

由于品种增加、市场波动和全球分布式制造，制造业正面临着前所未有的挑战。必须在整个产品生命周期中考虑设计过程、产品、制造和业务的复杂性的广度。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。根据本指南，产品是由增值过程（即制造过程）产生的物理或数字产品。此外，智能产品和系统是网络物理系统（CPS），需要新的工程设计理论和方法来处理CPS的多学科复杂性。为了应对这些挑战，设计理论和方法论（DTM）的科学方法和协作工程已经在早期和最近的发现研究中发展起来，以及管理工程系统复杂性的方法。最近，申请人还介绍了一种新的工程设计范式：“四倍底线”。这种创新主要是基于实现最优质产品的传统三重目标，经济和及时的方式，以及满足制造业的可持续性要求。企业要想在未来实现可持续发展，就必须在生产环境友好型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的推动因素，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)可更改和可重构制造系统的设计；C)为突发事件设计全球供应链。这三个主题分享了基本的设计理论和方法（DTM），从功能和物理的角度，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（“工业4.0”）的工程复杂性。复杂性的范围包括：1)产品，2)系统，以及3)系统的系统，例如全球供应链。复杂性的类型可以分为静态或动态，复杂性在物理和功能领域都被考虑。这项研究的结果将包括系统工程师和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。本研究将同时培养2名博士生和1名硕士生，直接培养6名HQP，间接培养至少6名HQP，包括1名PDF和4名本科学生。

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.