Simulation Experiment of Disaster Response Organizational Structures With Alternative Optimization Techniques

Authored by Jang Won Bae, Jeong Hee Hong, Il-Chul Moon, GeunHo Lee, Namkyung Oh

Date Published: 2015

DOI: 10.1177/0894439314544628

Sponsors: Korean National Research Foundation (NRF) Defense Acquisition Program Administration and Agency for Defense Development

Platforms: Java

Model Documentation: AORML Other Narrative Flow charts Ontologies Mathematical description

Model Code URLs: Model code not found

Abstract

Disaster response operations are critical for decreasing the devastating impacts that result in casualties and property damages. Since these operations require cooperation in dynamic and complex situations, the responding organizations require a solid organizational structure collectively. This article introduces computational designs and evaluations of alternative organizational structures for disaster responses to resolve the disconnections between resource demands and supplies. In particular, this research consists of (1) organizational structure designs with two optimization techniques, (2) agent-based simulations that virtually replicate disaster response contexts, and (3) social network analysis to interpret the relations between the structures and the performances from the network perspectives. We applied this approach to log records of Hurricane Katrina, and our evaluations suggest that alternative organizations would improve operation outcomes, that is, increase the successful resource delivery counts and reduce a number of organizational conflicts. This computational approach could be further utilized in designing and evaluating organizations under complex and dynamic situations.

Tags

Agent networks Centrality