In system design, system elements and substructures are changed to improve characteristics of the whole system. Those changes have to be dealt properly while considering impact that may cause. However, in a large-scale complex, there are enormous amount of information in regards to the relationships between elements of the system. As a result, it is difficult to apply conventional methods to the system design. We propose methods to dynamically design systems by means of multi-domain matrices depicting semantic relationships between elements that could be obtained through mining techniques
As seen in the model-based system engineering, models are essential for designing systems. Systems have various purposes, which entails different appropriate models. As the system becomes more complex, the knowledge required to create the model increases. We propose methodologies that can yield models appropriate for the purpose of the design. By incorporating the proposed methodologies, a design environment that supports system design is constructed.
Manufacturing systems are dramatically changing. Human-centered manufacturing system without waste (Muri/ Muda), and unevenness (Mura) where not only robots but also people (operators) interact with equipment and products by means of IoT is expected. In the future, the Earth will be seen as one connected factory through Cyber Physical System, which contributes to prosperity of humankind. We propose the future of manufacturing systems in Japan, where society is aging.