지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.17 No.2
- 발행연도
- 2018.6
- 수록면
- 166 - 176 (11page)
- DOI
- 10.7232/iems.2018.17.2.166
이용수
초록· 키워드
오류제보하기
In 2000s, the frequency of natural disasters occurrence has increased continuously. Due to abnormal climate change, natural disasters such as torrential downpours and typhoons have been occurring more frequently. Therefore, need for research on an effective disaster response system is emphasized.
Nonetheless, the existing disaster response systems are not yet efficient. This study deals with the distributed emergency vehicle routing problem for emergency logistics in disaster situations. This problem has different characteristics from the general vehicle route problem.
This study suggests a solution procedure that consists of two parts. The one is to generate an emergency vehicle routing plan for individual vehicle and the other is to coordinate those plans for headquarter. The algorithm for generating a routing plan is made up optimization technique using the integer programming and a metaheuristic using the genetic algorithm. And for coordinating, a priority based heuristic and k-means clustering are proposed. The performance of the suggested algorithm is empirically proven to be efficient in both solution quality and search time in various problem size.
Nonetheless, the existing disaster response systems are not yet efficient. This study deals with the distributed emergency vehicle routing problem for emergency logistics in disaster situations. This problem has different characteristics from the general vehicle route problem.
This study suggests a solution procedure that consists of two parts. The one is to generate an emergency vehicle routing plan for individual vehicle and the other is to coordinate those plans for headquarter. The algorithm for generating a routing plan is made up optimization technique using the integer programming and a metaheuristic using the genetic algorithm. And for coordinating, a priority based heuristic and k-means clustering are proposed. The performance of the suggested algorithm is empirically proven to be efficient in both solution quality and search time in various problem size.
목차
ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. CHARACTERISTICS AND SOLUTION OF DISTRIBUTED VEHICLE ROUTING PROBLEM IN DISASTER SCENE
4. SIMULATION EXPERIMENT
5. CONCLUSION
REFERENCES
참고문헌 (17)
참고문헌 신청
[학술지(정기간행물)] - Ahmadi, M. / 2015 / A humanitarian logistics model for disaster relief operation considering network failure and standard relief time: A case study on San Francisco district / Transportation Research Part E: Logistics and Transportation Review 75 : 145 ~ 163
[학술대회논문] - Cao, Z. / 2009 / Optimum path analysis of post-earthquake transportation considering multi-objective based on GIS / Proceedings of the 2nd International Conference on Transportation Engineering : 1104 ~ 1109
[학술지(정기간행물)] - Chang, F. S. / 2014 / Greedy-search-based multi-objective genetic algorithm for emergency logistics scheduling / Expert Systems with Applications 41 (6) : 2947 ~ 2956
[학술지(정기간행물)] - Chang, M. S. / 2007 / A scenario planning approach for the flood emergency logistics preparation problem under uncertainty / Transportation Research Part E 43 (6) : 737 ~ 754
[학술대회논문] - Cheng, W. / 2008 / Operational analysis on emergency logistics system and emergency response model / Service Operations and Logistics, and Informatics, 2008, IEEE/SOLI 2008. IEEE International Conference : 1323 ~ 1328
[학술대회논문] - Cao, Z. / 2009 / Optimum path analysis of post-earthquake transportation considering multi-objective based on GIS / Proceedings of the 2nd International Conference on Transportation Engineering : 1104 ~ 1109
[학술지(정기간행물)] - Chang, F. S. / 2014 / Greedy-search-based multi-objective genetic algorithm for emergency logistics scheduling / Expert Systems with Applications 41 (6) : 2947 ~ 2956
[학술지(정기간행물)] - Chang, M. S. / 2007 / A scenario planning approach for the flood emergency logistics preparation problem under uncertainty / Transportation Research Part E 43 (6) : 737 ~ 754
[학술대회논문] - Cheng, W. / 2008 / Operational analysis on emergency logistics system and emergency response model / Service Operations and Logistics, and Informatics, 2008, IEEE/SOLI 2008. IEEE International Conference : 1323 ~ 1328
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UCI(KEPA) : I410-ECN-0101-2018-530-003116563