Co-Evolution Framework Between Humans and Simulations: Planning Post-Disaster Restoration of a Water Distribution Network
Shunichi Tada*,, Kento Wakayama*, Taro Kanno*, Yuji Kawase**, and Kazuo Furuta***
*Department of Systems Innovation, School of Engineering, The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
**Metawater Co., Ltd., Tokyo, Japan
***Resilience Engineering Research Center, School of Engineering, The University of Tokyo, Tokyo, Japan
This paper developed a new framework for better knowledge management through computational simulations, enabling both human knowledge creation and updating simulation models. The framework was developed based on the concepts of the socialization, externalization, combination, and internalization (SECI) model, and it contains a structured workshop that includes the four types of Ba the model requires. To evaluate this framework, the planning of post-disaster restoration of water distribution networks was employed as a case study. In addition, a new optimization method was developed using empirical heuristics obtained from practitioners, aiming for meaningful feedback from the practitioners working in a water management company. Based on our simulation, three workshops were conducted to create new knowledge, and new features were added to the simulation. In these workshops, practitioners performed simulation-based training in planning the restoration and then discussed their decisions. Afterward, it was concluded that the proposed framework was sufficient for updating the simulation. However, it required additional methods to provide practitioners with opportunities to obtain new insights.
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