Quotation Fikar, Christian, Hirsch, Patrick, Nolz, Pamela. 2018. Agent-based simulation optimization for dynamic disaster relief distribution. Central European Journal of Operations Research, 26 (2), 423-442.


RIS


BibTeX

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

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation External
Type of publication Journal article
Journal Central European Journal of Operations Research
Citation Index SCI
WU-Journal-Rating new STRAT-C
Language English
Title Agent-based simulation optimization for dynamic disaster relief distribution
Volume 26
Number 2
Year 2018
Page from 423
Page to 442
Reviewed? Y
URL https://link.springer.com/article/10.1007/s10100-017-0518-3
DOI http://dx.doi.org/10.1007/s10100-017-0518-3
Open Access N

Associations

People
Fikar, Christian (Details)
External
Hirsch, Patrick (Universität für Bodenkultur Wien, Austria)
Nolz, Pamela (Austrian Institute of Technology, Austria)
Research areas (ÖSTAT Classification 'Statistik Austria')
1112 Logistics (Details)
5347 Operations research (Details)
Google Scholar: Search