The Journal of Society for e-Business Studies (한국전자거래학회지)

Society for e-Business Studies (한국전자거래학회)
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Study on the Facility Planning for Relief Logistics Relieving Damage from Natural Disaster

자연 재해로 인한 피해 경감을 위한 구호 물류 거점 계획에 대한 연구

  • Han, Sumin (Department of Industrial Engineering, Seoul National University) ;
  • Jeong, Hanil (Department of IT Business Engineering, Daejeon University) ;
  • Park, Jinwoo (Smart Factory Promotion Group)
  • Received : 2018.06.04
  • Accepted : 2018.06.12
  • Published : 2018.08.31
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Abstract

Recently, the magnitude and frequency of the natural disaster have been increased, the damage has become severer. The importance of disaster response system to relieve the damage has arised continuously. This study has tried to develop the algorithm to solve the facility location and size problem in emergency logistics. A facility in the emergency logistics has various roles in victim care, casualty treatment, relief resource management and relief vehicle assistance. Moreover, the location of facility in emergency logistics has to consider the safety and reliability. To gather these information, information management system with IoT sensors are suggested. The location problem in this study also covers various features to response various demands in disaster. To solve this problem, this study suggested MIP based algorithm. Scenario based simulation experiments are conducted to verify the performance suggested algorithm.

최근 들어 자연재해의 빈도 및 강도가 늘어나고 있으며, 이에 따른 피해 역시 늘어남에 따라, 재난 현장에 대한 대응이 점차 중요해지고 있다. 본 연구에서는 피해를 경감하기 위한 구호 물류에서 큰 비중을 차지하는 부분인 물류 거점의 위치와 규모를 선정하기 위한 연구를 수행하였다. 구호 물류에서의 거점은 물자의 비축을 수행하는 일반 물류 거점의 기능 외에도 이재민 수용, 부상자 응급 처치 등 다양한 기능을 겸비해야 하며, 거점의 위치를 선정하는 기준 역시 거리 외의 거점의 신뢰도 및 주변 환경의 위험성을 고려하여야 한다. 본 연구에서는 이를 위하여 IoT 센서를 이용하여 정보를 파악하기 위한 체계를 제안하였다. 또한 재난물류 거점문제는 다양한 수요에 대응하기 위한 기능의 배치에 대한 고려 역시 포함하여야 한다. 이를 풀이하기 위하여, 혼합정수계획 모델에 기반을 둔 알고리즘을 제시하였고, 재해 발생 시나리오를 고려한 시뮬레이션 실험을 통하여 모델의 성능을 검증하였다.

Keywords

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Process of Suggested Algorithm

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Traffic Network for Simulation Experiment

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Location of Fixed Relief Facilities

Variables and Parameters of MIP model

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List of Vulnerable Structures

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List of IoT Sensors

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Change of Reliability and Demand Occurrence According to the Disaster Type A

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Experiment Result According to Disaster Type

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Location of Temporary Facilities

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Experiment Result According to Reliability

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Experiment Result According to Budget Policy

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