Agent-based simulation optimization for dynamic disaster relief distribution

Authored by Christian Fikar, Patrick Hirsch, Pamela C Nolz

Date Published: 2018

DOI: 10.1007/s10100-017-0518-3

Sponsors: No sponsors listed

Platforms: AnyLogic

Model Documentation: Other Narrative Flow charts Pseudocode

Model Code URLs: Model code not found

Abstract

This work presents an agent-based simulation optimization framework to model the impact of transport disruptions and word of mouth on disaster relief distribution. An agent-based simulation considers uncertainties in transport conditions and further incorporates various actions by and interactions between multiple people affected by a natural hazard event. To select optimal distribution points and vehicle types, a bi-objective optimization procedure is implemented focusing on the minimization of costs and maximization of services provided. The developed solution procedure is tested on a sample setting based on the April 2015 earthquake in central Nepal. Computational experiments study the impact of transport disruptions and word of mouth on disaster relief planning. Results indicate the importance of considering such factors in planning procedures.

Tags

Agent-based modeling Management humanitarian logistics Logistics Impact Simulation optimization Facility location Word of mouth