scholarly journals An Extended Model for Disaster Relief Operations Used on the Hagibis Typhoon Case in Japan

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 39
Author(s):  
Darya Hrydziushka ◽  
Urooj Pasha ◽  
Arild Hoff

This paper presents a generalization of a previously defined lexicographical dynamic flow model based on multi-objective optimization for solving the multi-commodity aid distribution problem in the aftermath of a catastrophe. The model considers distribution of the two major commodities of food and medicine, and seven different objectives, and the model can easily be changed to include more commodities in addition to other and different priorities between the objectives. The first level in the model is to maximize the amount of aid distributed under the given constraints. Keeping the optimal result from the first level, the second level can be solved considering objectives such as the cost of the operation, the time of the operation, the equity of distribution for each type of humanitarian aid, the priority of the designated nodes, the minimum arc reliability, and the global reliability of the route. The model is tested on a recent case study based on the Hagibis typhoon disaster in Japan in 2019. The paper presents a solution for the distribution problem and provides a driving schedule for vehicles for delivering the commodities from depots to the regional centers in need for humanitarian aid.

2021 ◽  
pp. 1-11
Author(s):  
Jie Yang ◽  
Tian Luo ◽  
Lijuan Zeng ◽  
Xin Jin

Neighborhood rough sets (NRS) are the extended model of the classical rough sets. The NRS describe the target concept by upper and lower neighborhood approximation boundaries. However, the method of approximately describing the uncertain target concept with existed neighborhood information granules is not given. To solve this problem, the cost-sensitive approximation model of the NRS is proposed in this paper, and its related properties are analyzed. To obtain the optimal approximation granular layer, the cost-sensitive progressive mechanism is proposed by considering user requirements. The case study shows that the reasonable granular layer and its approximation can be obtained under certain constraints, which is suitable for cost-sensitive application scenarios. The experimental results show that the advantage of the proposed approximation model, moreover, the decision cost of the NRS approximation model will monotonically decrease with granularity being finer.


2018 ◽  
Vol 104 (3) ◽  
pp. 159-164
Author(s):  
J J Matthews

AbstractIn the autumn of 2017, two Category 5 hurricanes caused extensive damage in the Caribbean. This resulted in the activation of two Role 2 Afloat (R2A) teams in support of Operation RUMAN, the military response to provide Humanitarian Aid and Disaster Relief (HADR) to the affected area. This paper documents the deployment of the R2A capability during Op RUMAN and outlines the main lessons identified in the delivery of HADR in the maritime environment.


2019 ◽  
Vol 165 (6) ◽  
pp. 431-435
Author(s):  
Andrew M Nelstrop

Operation RUMAN was the UK response in the Autumn of 2017 to the Category 5 Hurricane IRMA, which affected the British Overseas Territories in the Caribbean. The Joint Operations Area (JOA) spanned an archipelago of Islands over 1000 nm across, stretching logistical and medical doctrinal clinical timelines in a rapidly changing and generally high risk medical environment. Despite significant challenges and a relatively suboptimal start line position, the Operation was a success from a medical perspective, with lower than expected dNBI rates. This paper, written from the medical Operational in-Theatre HQ perspective, charts the phases of Operation RUMAN during Planning, Execution and Recovery. It examines the context and lessons that arose from the Operation RUMAN that could inform future fast-moving Humanitarian Aid and Disaster Relief Operations.


2017 ◽  
Vol 103 (1) ◽  
pp. 21-25
Author(s):  
CM Hillman ◽  
R Horrobin ◽  
S Mills ◽  
S Mercer

AbstractThe Royal Navy’s Role 2 Afloat (R2A) capability has now been firmly established in support of United Kingdom (UK) troops on contingency operations such as humanitarian aid and disaster relief operations. This article reviews the current capability of R2A to deliver medical care to children and pregnant women, including the challenges facing the deployed Biomedical Scientist (BMS).


2011 ◽  
Vol 26 (S1) ◽  
pp. s28-s28
Author(s):  
K. Peleg

In the Indonesian earthquake a total 21 USAR teams comprising upward of 688 rescue personnel and 67 dogs. The cost of which was estimated at tens of millions of dollars did not succeed in extricating any trappers. In Haiti, there were around 350000 casualties and 250000 dead. In this disaster 43 international USAR missions comprising over 1700 rescuers were deployed. These teams succeeded in rescuing approximately 134 trapped people, an average of about 3 trapped people per mission. During this period one field hospital treated a total of 1,111 people, 737 of these patients were hospitalized, 243 surgical procedures were carried out, of which at least 200 were life-saving procedures. In addition many other life-saving procedures that were not directly related to the injuries inflicted as a result of the earthquake were also carried out. Without the resources of the field hospital it is very possible that most of the trappers would not have survived. It mean; One field hospital (personal: 120 people) was able to save more people than 43 USAR teams, all of the highly dedicated and professional, who worked day and night to extricate people trapped.ngs. It seems that there is no need to carry out a complex economic analysis in order to determine the cost benefits and understand the significance of providing field hospitals and clinics as soon as possible after the occurrence of a disaster stemming from an earthquake. A consensus/brainstorming conference is needed.The aimTo formulate a logical and balanced approach to configuring and dispatching rescue and medical missions. The major goal of the conference would be to establish the guidelines for rescue missions that will result in the rescue of the maximum number of people, and to provide guidelines for the provision humanitarian aid in parallel to the rescue missions.


2019 ◽  
Vol 8 (8) ◽  
pp. 358 ◽  
Author(s):  
Changxiu Cheng ◽  
Ting Zhang ◽  
Kai Su ◽  
Peichao Gao ◽  
Shi Shen

Complex natural disasters often cause people to suffer hardships, and they can cause a large number of casualties. A population that has been affected by a natural disaster is at high risk and desperately in need of help. Even with the timely assessment and knowledge of the degree that natural disasters affect populations, challenges arise during emergency response in the aftermath of a natural disaster. This paper proposes an approach to assessing the near-real-time intensity of the affected population using social media data. Because of its fatal impact on the Philippines, Typhoon Haiyan was selected as a case study. The results show that the normalized affected population index (NAPI) has a significant ability to indicate the affected population intensity. With the geographic information of disasters, more accurate and relevant disaster relief information can be extracted from social media data. The method proposed in this paper will benefit disaster relief operations and decision-making, which can be executed in a timely manner.


2020 ◽  
Vol 27 (4) ◽  
pp. 1455-1473 ◽  
Author(s):  
Mohammad Asif Salam ◽  
Sami A. Khan

PurposeThe purpose of this study is to draw lessons for logistics management in humanitarian disasters, using the earthquake in Haiti as a case study. In Haiti, there were problems with the logistical response. This study investigates the humanitarian logistics challenges faced by various stakeholders in Haiti during the disaster-relief operations.Design/methodology/approachIn this exploratory case study, the central methodology used was data triangulation. Data triangulation involved interviews with respondents grouped into three categories, non-governmental organizations (NGOs), the military establishment and the governmental agencies. Prominence is given to the common themes expressed by each group. These common themes are then compared to the themes of other groups to identify opportunities and problems for future disaster relief operations.FindingsThe study indicates that there is a clear gap in terms of how the humanitarian efforts were coordinated between different actors. Lack of civil–military cooperation and coordination was one of the findings from the interviews, and many of the resources and initiatives were overlapping or redundant. Timeliness and efficiency need to be at the forefront of all planning and would result in more saved lives and reduced human suffering. The key goal of humanitarian logistics stipulates is to form connections and relationships, which was well illustrated through the informants' interviews. It was found that organizing different stakeholders/actors to work together by sharing processes and distribution channels demands a vision that goes beyond logistics management. Government agencies, the military establishment, NGOs, locals and victims need to collaborate to create a synergy in generating solutions that are tailored to the shock of the disaster in the first place.Research limitations/implicationsThe current study relies on a single case study approach as disaster scenarios are unique in terms of their impact, magnitude, timing and location. Despite these limitations, this study provides a detailed account of the logistical challenges in dealing with the disaster that took place in Haiti. The logistics-related lessons learned from this case study should be carefully applied in other settings, taken into consideration contextual differences.Practical implicationsOne important aspect of measuring efficiency for any commercial logistics system is key performance indicators (KPIs) that indicate how well the firm is doing in managing its inbound and outbound operations. From a practical standpoint, the Haiti case raised a challenging concern with regard to how to measure the performance of humanitarian disaster logistics. This is a starting point to understand the dynamics of disaster system efficiency and logistics interplay and offers a few lessons to improve the resource availability in the case of future emergencies.Originality/valueThis study lays the groundwork for future researchers to explore and debrief on the topic once disaster relief draws to a close and time has allowed logisticians and relief workers to analyze the response mechanisms used in disasters.


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