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JDR Vol.10 No.6 pp. 1041-1050
(2015)
doi: 10.20965/jdr.2015.p1041

Paper:

Disaster Warning System in the Philippines Through Enterprise Engineering Perspective: A Study on the 2013 Super Typhoon Haiyan

Natt Leelawat*, Anawat Suppasri**, Shuichi Kure**, Carine J. Yi**, Cherry May R. Mateo***, and Fumihiko Imamura**

*Department of Industrial Engineering and Management,
Graduate School of Decision Science and Technology, Tokyo Institute of Technology
2-12-1-W9-66 Ookayama, Meguro-ku, Tokyo 152-8550, Japan

**International Research Institute of Disaster Science, Tohoku University, Japan

***Intitute of Industrial Science, The University of Tokyo, Japan

Received:
April 30, 2015
Accepted:
October 30, 2015
Published:
December 1, 2015
Keywords:
business process management, enterprise engineering, storm surge, typhoon, warning system
Abstract
In this research on disaster warning systems, the Philippines was selected to be a case study. The Philippines was hit by a particularly bad storm in 2013 Super Typhoon Haiyan. Here we focused on warning system process management from an enterprise engineering perspective. In understanding warning systems, it is necessary to know the essence of overall processes. The objective of this qualitative study is to determine the system’s essential components by using the Design and Engineering Methodology for Organizations (DEMO). This involves both assigning responsibility levels and utilizing both traditional means such as broadcast vehicles with speakers and radios and newer means such as Internet channels to disseminate warning information. The findings provide a simple model explaining the disaster-related organization and communication structure. They also contribute a practical aspect in the form of suggestions to planners and decision makers that may assist them in preparing mitigation plans for projected natural disasters.
Cite this article as:
N. Leelawat, A. Suppasri, S. Kure, C. Yi, C. Mateo, and F. Imamura, “Disaster Warning System in the Philippines Through Enterprise Engineering Perspective: A Study on the 2013 Super Typhoon Haiyan,” J. Disaster Res., Vol.10 No.6, pp. 1041-1050, 2015.
Data files:
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