In the design of product systems that support the IoT society, more efficient system designs are required. Therefore, the optimization design method SDSI-Cubic has been studied. However, it has become clear that it is difficult to reuse the system model if the requirements are changed. In this paper, a new modeling methodology for system design is examined. It is discovered that the information for system designs can be separated into 4 components: product system, design space, design algorithm, and design environment. By modeling these components, the reusability of system models and the cooperation of various design tools are improved. Furthermore, the new modeling methodology is applied to a radiation measurement system which was designed using the SDSI-Cubic method. As the result, the reusability of the system model is confirmed in this applied case and the possibility of efficient design is clarified.
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