Christopher W. Zobel
The purpose of this track is to discuss the development and application of analytic problem-solving techniques, including simulation, optimization, and statistical analysis, which can improve decision making in the context of disaster operations management. Such analytic tools can be particularly important for managing disaster preparedness and response because better decision making can lead to improvements in operational effectiveness and response times. Similarly, for either disaster mitigation planning or disaster recovery efforts, improving the ability to make informed decisions can help organizations identify operational efficiencies and therefore lead to more effective use of limited resources.
This track invites both theoretical and applied research papers discussing topics relevant to the concepts of modeling and simulation. Its overall purpose is to provide a dedicated venue for such research to be shared and discussed, and thus to highlight the breadth and depth of efforts to improve the efficiency and effectiveness of disaster operations management.