研究発表

In this paper, Wanted Scenario Graph is proposed by extending Scenario Graph. The Scenario Graph is one of forced association measures and also one of structured mind mapping methods to generate potential scenarios for new products and services while visually organizing contextual information. Wanted Scenario Graph is a method for idea creation with consideration of wants into the scenario graph by adding the wants as a component of the graph, in order to discover novel ideas. We test 19 people with Wanted scenario graph for an identical theme, which is anything you like to have for safety and security in the future. It is described that Wanted Scenario Graph by individuals is useful when it is used for creating new ideas.

To assure that a system is safe, several tasks must be performed, resulting in the compilation of several safety-related documents. It is important that all the information related to safety is developed and maintained consistently. Because of retirements and changes to different department, it is difficult for engineers to pass on their knowledge. To ensure consistency throughout a project lifecycle notwithstanding program-level changes, a method to express the relationship between the safety information described in different documents is needed. Moreover, to address not only specifications but also bases for design formulated by a designer, design knowledge is accumulated together. We aim to improve the understanding of the safety design. In this study, we add two rules to the D-Case in order to achieve three goals. To verify the effectiveness of our method, these rules were applied to a rocket system.

Why do humans develop systems? The answer is clear: to realize system capabilities by utilizing these systems. Unless a system realizes the intended capability, it is useless, even if the system itself is perfect. Every system needs something to be realized. The problem is that we do not know how to deal with unexpected problems that prevent the realization of the system capability. Of course, many studies have been conducted on how to develop robust, fault tolerant systems, but there is no existing research on how to determine the system’s resilience in relation to its capability. The system capability can be realized by developing a resilient system. In this study, we developed a system ontology especially for a weather observation system. This ontology can describe the entire system by applying DODAF 2.0 and an enabler relationship. It allows us to determine all of the system entities and relationships. In addition, the ontology shows the system’s resilience by considering the realization of the system capability. This ontology was applied to a weather observation system to verify its effectiveness.