Using simulation modelling to support decisions in hail suppression programmes with airborne means

E G Tsagalidis and A C Georgiou ()
Additional contact information
E G Tsagalidis: Hellenic Agricultural Insurance Organization, Center of Meteorological Applications, International Airport Macedonia
A C Georgiou: University of Macedonia

Journal of the Operational Research Society, 2009, vol. 60, issue 1, 14-22

Abstract: Abstract This article presents the development and implementation of a stochastic discrete event simulation model. The project aims to analyse and improve the operational processes of a Hail Suppression Programme with airborne means. The main objective of the programme is the minimization of crop damages because of hailstorms. The project involves a simulation model as part of the decision support analysis, which investigates costs and effectiveness of various operational scenarios concerning the interception and neutralization of hailstorms, using airborne seeding. Apart from estimating responses and metrics under miscellaneous scenarios, the model facilitates what-if analysis to inspect and reveal relations between service (interception) times, number of aircrafts, and acceptable values of efficiency metrics. Subsequently, the model has been used to estimate a regression function that has been further implemented in the assessment process for new technologies and materials.

Keywords: discrete event simulation; practice of OR; meteorology; weather modification; agriculture (search for similar items in EconPapers)
Date: 2009
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1057/palgrave.jors.2602530 Abstract (text/html)
Access to full text is restricted to subscribers.

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:pal:jorsoc:v:60:y:2009:i:1:d:10.1057_palgrave.jors.2602530

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274

DOI: 10.1057/palgrave.jors.2602530

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook

More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().