Berawi, M.A., Leviakangas, P., Muhammad, F., Sari, M., Gunawan., Yatmo, Y.A., Suryanegara, M., 2019. Optimizing Search and Rescue Personnel Allocation in Disaster Emergency Response using Fuzzy Logic. International Journal of Technology. Volume 10(7), pp. 1416-1426
Optimizing search and rescue personnel allocation in disaster emergency response using fuzzy logic
|Author:||Berawi, Mohammed Ali1,2; Leviäkangas, Pekka3; Muhammad, Fadhi1,2;|
1Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia
2Center for Sustainable Infrastructure Development, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia
3Industrial Engineering and Management, Faculty of Technology, University of Oulu, 90570, Finland
|Online Access:||PDF Full Text (PDF, 0.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202003047143
|Publish Date:|| 2020-03-04
Several models have been developed to facilitate decision-making in disaster management, especially in relation to emergency resource allocations. These models are required in order for search and rescue personnel to operate efficiently. However, in Indonesia, in general, technology has not been used to help make decisions during the response phase; rather, these decisions are still made subjectively. This paper presents a decision-making model that helps search and rescue teams determine the number of personnel to deploy. Therefore, it streamlines the allocation of personnel in a search area, and it determines the number of personnel that are needed based on the area, population density, equipment, and the number of high buildings. Then, those variables are processed using a fuzzy expert system and a decision tree. The data and knowledge acquired as a reference were obtained from disaster management experts as well as experienced practitioners in the field of Search and Rescue.
International journal of technology
|Pages:||1416 - 1426|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
222 Other engineering and technologies
113 Computer and information sciences
This research was supported by a European Union (EU) research grant for Building European Communities’ Resilience and Social Capital (BuildERS) project and by a Universitas Indonesia’s PITTA research grant.
© IJTech 2019.