Smart Product Design for Sustainable Manufacturing

由于多样化、市场波动性和全球制造的分散化，制造业正面临前所未有的挑战。必须在整个产品生命周期中考虑设计过程、产品、制造和业务的复杂程度。本研究中考虑的产品遵循ISO 9000指南中描述的特定工程观点。根据这一指导方针，产品是由增值过程(即制造过程)产生的实物或数字产品。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，在早期和最近的发现研究中，已经开发了设计理论和方法(DTM)和协作工程的科学方法，以及管理工程系统的复杂性的方法。最近，申请人还提出了一种新的工程设计范式：“四重底线”。这一创新主要基于以经济和及时的方式实现最高质量产品的传统三重目标，以及满足制造可持续发展的要求。企业要想在未来可持续发展，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，采用持续的创新要求和可变化性推动因素，从而达到四重底线。 在此背景下，本研究将研究三个新的方面：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；以及C)面向突发事件的全球供应链设计。这三个主题共享从功能和物理角度的基本设计理论和方法(DTM)，以及离散数学：集合论、关系和函数，以及表示不同领域内相互作用的图论。研究的重点是管理智能网络物理产品和系统(“行业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，如全球供应链。复杂性的类型可以被分类为静态或动态，并且复杂性在物理域和功能域都被考虑。 这项研究的结果将包括可供系统工程师和行业管理人员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问题。本研究将一次培养2名博士和1名硕士研究生，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.