방재비축창고 위치 실증연구: 경상북도 재난물류체계 사례A Study on the Location of the Disaster Prevention Stockpile Center: The Case of the Disaster Logistics System in Gyeongsangbuk-do
- Authors
- 홍수민; 우수한
- Issue Date
- Feb-2024
- Publisher
- 한국무역연구원
- Keywords
- Disaster Prevention Stockpile Center; Facility Location Algorithm; Regional Case Study
- Citation
- 무역연구, v.20, no.1, pp 319 - 340
- Pages
- 22
- Journal Title
- 무역연구
- Volume
- 20
- Number
- 1
- Start Page
- 319
- End Page
- 340
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/73063
- DOI
- 10.16980/jitc.20.1.202402.319
- ISSN
- 1738-8112
2384-1958
- Abstract
- Purpose – Gyeongsangbuk-do is a region prone to frequent natural disasters, and there are high expectations for the establishment of an Integrated National Management System of Disaster Resources. For this purpose, it is necessary to expand disaster prevention stockpiles in the province. However, currently, the logistics perspective has not adequately been considered, leading to network inefficiency. Therefore, this study proposes an optimal location-allocation plan for disaster stockpile warehouses in Gyeongsangbuk-do.Design/Methodology/Approach – This research applied a discrete-linear facility location problem based on maximal covering location algorithm. The optimal location is determined by prioritizing nearby areas and setting the service distance limit lower than the current maximum service distance.Findings – As a result, Gyeongju-si was identified as a more suitable facility location instead of Pohang-si, one of the current disaster stockpile center locations. Furthermore, the proposed optimal location-allocation plan is more efficient than the current network and reduces regional deviations due to the objective function of the applied algorithm.Research Implications – Based on the Integrated National Management System of Disaster Resources plan, this study holds potential for practical use by using the current operating warehouse locations in Gyeongsangbuk-do as parameters. Additionally, since logistics is often overlooked in disaster management, the optimal location and distribution plan proposed in this study can serve as an indicator of logistics efficiency.
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