Title: A modular subroutine selection process in disaster management based on a needs classification scheme
Authors: Sohail Asghar, Damminda Alahakoon, Leonid Churilov
Addresses: Clayton School of Information Technology, Monash University, Melbourne, Australia. ' Clayton School of Information Technology, Monash University, Melbourne, Australia. ' Faculty of Business and Economics, Monash University, Melbourne, Australia
Abstract: A broader view of our approach is to provide the flexibility to organise and adapt a tailored Decision Support System (DSS) model (or existing modular subroutines) according to the dynamic needs of a disaster. For this purpose, the existing modular subroutines of DSS models are selected and integrated to produce a dynamic integrated model focused on a given disaster scenario. In order to facilitate the effective integration of these subroutines, it is necessary to select the appropriate modular subroutine beforehand. Therefore, subroutine selection is an important preliminary step towards model integration in developing Disaster Management Decision Support Systems (DMDSS). The ability to identify a modular subroutine for a problem is an important feature before performing model integration. Therefore, our focus in this paper is on developing a methodology to help identify subroutines from existing DSS models developed for disaster management.
Keywords: model selection; disaster management; model management; decision support systems; DSS models; emergency management; needs classification; modular subroutines.
International Journal of Internet and Enterprise Management, 2008 Vol.5 No.3, pp.212 - 236
Published online: 15 May 2008 *Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article