메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
Praneetpholkrang Panchalee (Japan Advanced Institute of Science and Technology) Huynh Van Nam (Japan Advanced Institute of Science and Technology) Kanjanawattana Sarunya (Suranaree University of Technology)
저널정보
한국해운물류학회 The Asian Journal of Shipping and Logistics The Asian Journal of Shipping and Logistics Vol.37 No.2
발행연도
2021.6
수록면
149 - 156 (8page)
DOI
10.1016/j.ajsl.2021.01.003

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Decision-making for shelter location-allocation influences the success of disaster response and affectsthe security of victims. This paper proposes a multi-objective optimization model for determining shelterlocation-allocation in response to humanitarian relief logistics. Three objective functions are formulatedto improve both efficiency and effectiveness. The first objective is to minimize total costs, includingfixed costs for opening the shelters, transportation costs, and service costs. The second objective is tominimize the total time for evacuating victims from all affected areas to allocated shelters. The thirdobjective is to minimize the number of shelters required to provide thorough service to victims. TheEpsilon Constraint method (EC) and Goal Programming (GP) are employed for solving the proposed model.The applicability of the proposed model is validated through a case study of flooding in Surat Thani,Thailand. The Pareto efficiency obtained from solving the proposed model is compared with currentshelter location-allocation plans determined by the government sector. The comparisons reveal thatthe results obtained from solving the proposed model outperform current shelter location-allocationplans. Furthermore, the results of this study could provide an advantage to decision-makers consideringappropriate strategies for disaster response.

목차

등록된 정보가 없습니다.

참고문헌 (44)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0