Agent-based simulation optimization for dynamic disaster relief distribution

Christian Fikar (), Patrick Hirsch () and Pamela C. Nolz ()
Additional contact information
Christian Fikar: University of Natural Resources and Life Sciences
Patrick Hirsch: University of Natural Resources and Life Sciences
Pamela C. Nolz: AIT Austrian Institute of Technology

Central European Journal of Operations Research, 2018, vol. 26, issue 2, No 9, 423-442

Abstract: 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.

Keywords: Humanitarian logistics; Simulation optimization; Facility location; Word of mouth; Agent-based modeling (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://link.springer.com/10.1007/s10100-017-0518-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:cejnor:v:26:y:2018:i:2:d:10.1007_s10100-017-0518-3

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/10100

DOI: 10.1007/s10100-017-0518-3

Access Statistics for this article

Central European Journal of Operations Research is currently edited by Ulrike Leopold-Wildburger

More articles in Central European Journal of Operations Research from Springer, Slovak Society for Operations Research, Hungarian Operational Research Society, Czech Society for Operations Research, Österr. Gesellschaft für Operations Research (ÖGOR), Slovenian Society Informatika - Section for Operational Research, Croatian Operational Research Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().