Abstract
This study presents the modeling and simulation of dialysis service in a disaster with the aim of developing a method to assess the resilience of the service systems. Because dialysis service in a disaster is heavily affected by the disruptions of critical infrastructures, it is necessary to consider such interdependences between service activities and the loss of functionality of the infrastructures in order to assess the resilience of the service system. We modeled service activities with multi-agent models and infrastructures as multi-layered simple networks with nodes and links. We optimized recovery plans of infrastructures by genetic algorism (GA), then conducted simulations of the dialysis service in disaster situations under the optimized plan, and finally drew the resilience triangle of the service system. The simulation results suggest that it is necessary to consider both service activities and restoration processes of infrastructures to enhance the resilience of service systems.
