• Title/Summary/Keyword: Emergency Logistics

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Designing a Drone Delivery Network for Disaster Response Considering Regional Disaster Vulnerability Index (재난 취약도 지수를 고려한 재난 대응 드론 거점 입지 선정)

  • OkKyung Lim;SangHwa Song
    • The Journal of Bigdata
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    • v.9 no.1
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    • pp.115-126
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    • 2024
  • The scale and cost of disasters are increasing globally, emphasizing the importance of logistics activities in disaster response. A disaster response logistics system must place logistics hub centers in regions relatively safe from disasters and ensure the stable supply of relief goods and emergency medicines to the affected areas. Therefore, this study focuses on locating drone delivery centers that minimize disaster vulnerability when designing a disaster response delivery network. To facilitate the transport of relief supplies via drones, the maximum delivery range of drones is considered and we employed a natural disaster vulnerability index to develop optimization models for selecting drone delivery center locations that minimize disaster vulnerability. The analysis indicates that while the optimization models to minimize disaster vulnerability increase the number of hub investments, these approaches mitigate disaster vulnerability and allows the safe and effective operation of a disaster response logistics system utilizing drone deliveries.

The Ripple Effects of Climate X-Events

  • Sang-Keun Cho;Ji-Min Lee;Sang-Hyuk Park
    • International Journal of Advanced Culture Technology
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    • v.11 no.3
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    • pp.83-88
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    • 2023
  • The increasing global average temperature and the emergence of various abnormal climate phenomena are already being experienced in reality. The problems arising from climate change are expanding and becoming catastrophic, despite the efforts of various organizations to prevent them. In order to avoid climate issues from becoming black elephants, we conducted interviews with emergency planning officer from various institutions to identify potential X-events caused by climate change. The results of analyzing the anticipated X-events by these emergency planning officer revealed a chain of ripple effects associated with their occurrence. This implies that once an X-event happens, its influence is broader and more significant. Through this study, we aim to share the understanding of the ripple effects of climate X-events with many people, raising awareness of the severity of climate issues. We hope that this will serve as a starting point for more institutions, individuals, and nations to make efforts in resolving climate problems, turning X-events into opportunities rather than crises.

The Quantitative Analysis in terms of the Requisite for Logistics Support of the War History using Simulation Moscow Expedition of Napoleon (시뮬레이션을 이용한 전쟁사 군수지원 요소의 정량적 분석 : 나폴레옹의 모스크바 원정 사례 연구)

  • Jung, Won-Il;Byun, Mu-Hyun;Cho, Sung-Jin;Kang, Sung-Jin
    • Journal of the military operations research society of Korea
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    • v.37 no.1
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    • pp.27-38
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    • 2011
  • Purpose that studies the war history is to prevent the war in the advance through instruction that is gotten by understanding the past war and in case of emergency, it is to win victory in the war from the enemy by doing not commit a same mistake like the past war. For these reasons, many studies about the war history have proceeded continuously in domestic and outside the country, and those are being carried out in present. However, most of studies of the war history have been analyzed only on qualitative analysis. In this study, we want to suggest quantitative analysis method using simulation with qualitative analysis. As an example of study, we quantitatively analyzed the importance of logistics support on the Moscow expedition of Napoleon. Also, on the basis of this, we found failure factor of logistics support of Napoleon force and through this, deduced instruction. There is meaning that this paper suggested quantitative analytical method in terms of study of the war history with qualitative analytical method.

Necessity of the Physical Distribution Cooperation to Enhance Competitive Capabilities of Healthcare SCM -Bigdata Business Model's Viewpoint- (의료 SCM 경쟁역량 강화를 위한 물류공동화 도입 필요성 -빅데이터 비즈니스 모델 관점-)

  • Park, Kwang-O;Jung, Dae-Hyun;Kwon, Sang-Min
    • Management & Information Systems Review
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    • v.39 no.3
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    • pp.17-35
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    • 2020
  • The purpose of this study is to develop business models for current situational scenarios reflecting customer needs emphasize the need for implementing a logistics cooperation system by analyzing big data to strengthen SCM competitiveness capacities. For healthcare SCM competitiveness needed for the logistics cooperation usage intent, they were divided into product quality, price leadership, hand-over speed, and process flexibility for examination. The wordcloud results that analyzed major considerations to realize work efficiency between medical institutes, words like unexpected situations, information sharing, delivery, real-time, delivery, convenience, etc. were mentioned frequently. It can be analyzed as expressing the need to construct a system that can immediately respond to emergency situations on the weekends. Furthermore, in addition to pursuing communication and convenience, the importance of real-time information sharing that can share to the efficiency of inventory management were evident. Accordingly, it is judged that it is necessary to aim for a business model that can enhance visibility of the logistics pipeline in real-time using big data analysis on site. By analyzing the effects of the adaptability of a supply chain network for healthcare SCM competitiveness, it was revealed that obtaining competitive capacities is possible through the implementation of logistics cooperation. Stronger partnerships such as logistics cooperation will lead to SCM competitive capacities. It will be necessary to strengthen SCM competitiveness by searching for a strategic approach among companies in a direction that can promote mutual partnerships among companies using the joint logistics system of medical institutes. In particular, it will be necessary to search for ways to utilize HCSM through big data analysis according to the construction of a logistics cooperation system.

Multivariate Analysis of Predictive Factors for the Severity in Stable Patients with Severe Injury Mechanism (중증 손상 기전의 안정된 환자에서 중증도 예측 인자들에 대한 다변량 분석)

  • Lee, Jae Young;Lee, Chang Jae;Lee, Hyoung Ju;Chung, Tae Nyoung;Kim, Eui Chung;Choi, Sung Wook;Kim, Ok Jun;Cho, Yun Kyung
    • Journal of Trauma and Injury
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    • v.25 no.2
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    • pp.49-56
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    • 2012
  • Purpose: For determining the prognosis of critically injured patients, transporting patients to medical facilities capable of providing proper assessment and management, running rapid assessment and making rapid decisions, and providing aggressive resuscitation is vital. Considering the high mortality and morbidity rates in critically injured patients, various studies have been conducted in efforts to reduce those rates. However, studies related to diagnostic factors for predicting severity in critically injured patients are still lacking. Furthermore, patients showing stable vital signs and alert mental status, who are injured via a severe trauma mechanism, may be at a risk of not receiving rapid assessment and management. Thus, this study investigates diagnostic factors, including physical examination and laboratory results, that may help predict severity in trauma patients injured via a severe trauma mechanism, but showing stable vital signs. Methods: From March 2010 to December 2011, all trauma patients who fit into a diagnostic category that activated a major trauma team in CHA Bundang Medical Center were analyzed retrospectively. The retrospective analysis was based on prospective medical records completed at the time of arrival in the emergency department and on sequential laboratory test results. PASW statistics 18(SPSS Inc., Chicago, IL, USA) was used for the statistical analysis. Patients with relatively stable vital signs and alert mental status were selected based on a revised trauma score of more than 7 points. The final diagnosis of major trauma was made based on an injury severity score of greater than 16 points. Diagnostic variables include systolic blood pressure and respiratory rate, glasgow coma scale, initial result from focused abdominal sonography for trauma, and laboratory results from blood tests and urine analyses. To confirm the true significance of the measured values, we applied the Kolmogorov-Smirnov one sample test and the Shapiro-Wilk test. When significance was confirmed, the Student's t-test was used for comparison; when significance was not confirmed, the Mann-Whitney u-test was used. The results of focused abdominal sonography for trauma (FAST) and factors of urine analysis were analyzed using the Chi-square test or Fisher's exact test. Variables with statistical significance were selected as prognostics factors, and they were analyzed using a multivariate logistics regression model. Results: A total of 269 patients activated the major trauma team. Excluding 91 patients who scored a revised trauma score of less than 7 points, 178 patients were subdivided by injury severity score to determine the final major trauma patients. Twenty-one(21) patients from 106 major trauma patients and 9 patients from 72 minor trauma patients were also excluded due to missing medical records or untested blood and urine analysis. The investigated variables with p-values less than 0.05 include the glasgow coma scale, respiratory rate, white blood cell count (WBC), serum AST and ALT, serum creatinine, blood in spot urine, and protein in spot urine. These variables could, thus, be prognostic factors in major trauma patients. A multivariate logistics regression analysis on those 8 variables showed the respiratory rate (p=0.034), WBC (p=0.005) and blood in spot urine (p=0.041) to be independent prognostic factors for predicting the clinical course of major trauma patients. Conclusion: In trauma patients injured via a severe trauma mechanism, but showing stable vital signs and alert mental status, the respiratory rate, WBC count and blood in the urine can be used as predictable factors for severity. Using those laboratory results, rapid assessment of major trauma patients may shorten the time to diagnosis and the time for management.

Implementation of Intelligent Container System and Information Processing Using Fuzzy Logic (지능형 컨테이너 시스템의 구현과 퍼지 논리를 이용한 정보처리)

  • Son, Sang-Hyuk;Kang, Geun-Taek;Lee, Won-Chang
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.3
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    • pp.398-403
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    • 2009
  • The recent trend of logistics demands for improved monitoring system of the inside of containers including current temperature and other environmental conditions. This paper presents an information processing technique with fuzzy logic that recognizes the current situations inside the target container and can be implemented on intelligent container systems. The ZigBee modules are used to collect information such as temperature, humidity, and shock inside the container in ubiquitous environment. The information processing system using fuzzy logic and the InTouch, one of SCADA(Supervisory Control and Data Acquisition) systems, is implemented to monitor the inside of the container and predict the emergency state.

The Relation between Safety Awareness and Traffic Accidents: The 6-7th(2014-2017) Korean National Health and Nutrition Examination Surveys (제 6기-7기(2014-2017) 국민건강영양조사를 이용한 안전의식과 운수사고 발생 간의 관련성)

  • Kim, YeRim;Park, JaeSeong
    • Journal of Digital Convergence
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    • v.18 no.11
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    • pp.293-301
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    • 2020
  • The study was conducted to investigate and identify safety awareness and traffic accident relation. Data collection used raw data from the 6th year(2014) to the 7th year(2017) of the National Health and Nutrition Survey. Subjects of the study were conducted on 421 people with experience in traffic accidents and the analyzed using the SPSS/WIN 23.0 program. Data analysis determined safety awareness and traffic accident using frequency and ratio, Chi-Square, and logistics return analysis. The more Basic Living Allowance, the more do not Seat belts in the front seat of the car, the more Professional are related to traffic accidents. It is expected that this will contribute to making basic data for future studies related to reduction of traffic accident patients.

QoS Guaranteeing Distributed Logistics System Based on Multi-Agent Platform (다중 에이전트 플랫폼 기반의 QoS를 보장하는 분산 군수 시스템)

  • Song, Ho-Kuen;Park, Geon-Yong;Sim, Back-Sun;Youn, Hee-Yong
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06b
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    • pp.106-108
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    • 2012
  • 21세기에는 정보기술의 혁명적 발전과 함께 전쟁양상이 파격적으로 변화되어 가고 있다. 이에 따라, 분산 다중 에이전트 시스템을 위한 기술 발전이 중요시 되고 있는 상황이다. 분산 다중 에이전트 시스템을 위한 기술이 발전함에 따라 국방 분야에 연구가 활발하게 진행되어지고 있다. 그러나 지금까지 분산 다중 에이전트에 대한 연구들이 기능적인 면에서만 집중되어 왔다. 본 논문에서는 ACL(Agent Communication Language) 메시지에서 파라미터를 Emergency, Normal, System로 추가함으로써 에이전트의 실시간성을 보장하는 'QoS(Quality of Service)를 보장한 분산 다중 에이전트 플랫폼' 제안하였다. 긴급한 메시지 전송 시 QoS Manager(QOMS)를 이용하여 스케줄링 하여 에이전트 플랫폼 시스템 성능 향상을 하는 방법을 제안한다.

Scenario-Based Optimization of Patient Distribution and Medical Resource Allocation in Disaster Response (시나리오 기반 환자 분배 및 의료진 할당을 위한 재난 대응 최적화 모형 연구)

  • Jin, Sukho;Kim, Jangyeop;Kim, Kyungsup;Jeong, Sukjae
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.2
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    • pp.151-162
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    • 2014
  • This study proposes an optimization model to plan the patient distribution and medical resource allocation considering the diverse characteristics of disaster. For reflecting the particularity of disaster response, we configured a few scenarios such as availability of emergency surgery of non-major medical staff and the change in number of patients estimated reflecting the uncertainty, urgency and convergence of disaster. And we finally tested the effects of the scenarios' combination on the objective function defined as maximum number of survival patients. Our experimental results are expected to highlight the significance of the proposed model as well as the applicability of scenarios under disaster response.

A Comparison of Deep Learning Models for IQ Fingerprint Map Based Indoor Positioning in Ship Environments

  • Yootae Shin;Qianfeng Lin;Jooyoung Son
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.4
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    • pp.1122-1140
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    • 2024
  • The importance of indoor positioning has grown in numerous application areas such as emergency response, logistics, and industrial automation. In ships, indoor positioning is also needed to provide services to passengers on board. Due to the complex structure and dynamic nature of ship environments, conventional positioning techniques have limitations in providing accurate positions. Compared to other indoor positioning technologies, Bluetooth 5.1-based indoor positioning technology is highly suitable for ship environments. Bluetooth 5.1 attains centimeter-level positioning accuracy by collecting In-phase and Quadrature (IQ) samples from wireless signals. However, distorted IQ samples can lead to significant errors in the final estimated position. Therefore, we propose an indoor positioning method for ships that utilizes a Deep Neural Network (DNN) combined with IQ fingerprint maps to overcome the challenges associated with accurate location detection within the ship. The results indicate that the accuracy of our proposed method can reach up to 97.76%.