EconPapers    
Economics at your fingertips  
 

Recovery time of a complex system in risk and crisis management operations

Panagiotis T. Artikis and Constantinos T. Artikis

International Journal of Decision Sciences, Risk and Management, 2009, vol. 1, issue 1/2, 104-111

Abstract: It is generally recognised that a random sum of discrete random variables and a maximum of a random number of non-negative random variables are very powerful analytical concepts for formulating effective stochastic models with significant applications in many practical disciplines. The paper combines these concepts in order to formulate a stochastic model. Properties and applications in risk and crisis management operations of the formulated stochastic model are also established.

Keywords: risk management; crisis management; emergency management; recovery time; complex systems; stochastic modelling. (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=27249 (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:ids:ijdsrm:v:1:y:2009:i:1/2:p:104-111

Access Statistics for this article

More articles in International Journal of Decision Sciences, Risk and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijdsrm:v:1:y:2009:i:1/2:p:104-111