Title :
Recommended factors for triage categories using Simulation Modelling
Author :
Hamid, Amy Hamijah binti Ab ; Samah, Azurah A. ; Majid, Hairudin Abdul ; Anwar, Sohail ; Rozan, Mohd Zaidi Abd ; Deris, Safaai ; Ibrahim, Roliana ; Hashim, Suhairul
Author_Institution :
Malaysian Nucl. Agency (NuclearMalaysia), Univ. Teknol. Malaysia (UTM), Skudai, Malaysia
Abstract :
Malaysia is in advancement towards the establishment of effective and efficient energy mix plan within its Nuclear Power Programme (NPP) resulting from current governance acceptance and support. Prior precautions have been inculcated in order to comprehend nuclear energy accountability in striving high income economic growth and energy security. This paper is attempting to prescribe nuclear safety recommendations encompassing radiation and nuclear (RN) event recovery phase within integrated disaster operations management (DOM) activities from Soft System Methodology (SSM) perspective by using Simulation Modelling. Possibly, this method is introduced in order to recommend triage categories for vulnerable population groups which are commonly at-risks during RN emergencies, incidents and disasters. Therefore, this paper will proposed some factors of triage categories which may affect these groups whereby representing an initial system map. It is concluded that prioritized suggestions given could possibly ascertain the characteristics of other interventions involved in order to achieve a sustainable and secure nuclear safety in the future.
Keywords :
fission reactor safety; fusion reactor safety; nuclear engineering computing; Malaysia; disaster operations management; economic growth; energy security; nuclear event recovery phase; nuclear power program; nuclear safety recommendation; radiation event recovery phase; simulation modelling; soft system methodology; triage category; Adaptation models; Biological system modeling; Computational modeling; Humans; Mathematical model; Medical services; Safety; simulation modelling; soft system methodology; vulnerable population groups;
Conference_Titel :
Research and Innovation in Information Systems (ICRIIS), 2011 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-61284-295-0
DOI :
10.1109/ICRIIS.2011.6125700