Domain-driven process adaptation in emergency scenarios

Business process models are a suitable means to describe the temporal and logical order of tasks for achieving a given goal. Therefore they become crucial in the coordination of intervention actions to efficiently recover from a disaster or tragic event. Past experience is vital in handling these scenarios, but every new emergency would almost always present peculiar characteristics. So although generic business processes for disaster management would typically be available in a recovery infrastructure, these need to be adapted every time to the specific scenario. In these situations goal achievement is very time-critical, thus the adaptation process should be done in the most efficient ay and be error-free. This paper proposes to capture multiple variants of an emergency recovery process in a configurable model, and to control the model adaptation via the use of interactive domain-based questionnaires

Case-Based Decision Support for Disaster Management

Disasters are characterized by severe disruptions of the society’s functionality and adverse impacts on humans, the environment, and economy that cannot be coped with by society using its own resources. This work presents a decision support method that identifies appropriate measures for protecting the public in the course of a nuclear accident. The method particularly considers the issue of uncertainty in decision-making as well as the structured integration of experience and expert knowledge