Model and Algorithm for Rescue Resource Assignment Problem in Disaster Response Based on Demand-Ability-Equipment Matching

2017 ◽  
pp. 246-261
Author(s):  
Zhiwen Xiao ◽  
Guoqing Wang ◽  
Jianming Zhu
Keyword(s):  
Assignment Problem ◽  
Disaster Response ◽  
Resource Assignment ◽  
On Demand

scholarly journals Analysis of the Emergency Fire Response Team for Disaster Response in Japan

2020 ◽  
Vol 20 (2) ◽  
pp. 133-145 ◽  
Author(s):  
Hyeongho Choi ◽  
Euipyeong Lee
Keyword(s):  
Disaster Response ◽  
Large Scale ◽  
Fire Departments ◽  
Fire Response ◽  
Fire Fighters ◽  
On Demand ◽  
Fire Extinguishing ◽  
The Status ◽  
Response Team ◽  
Hyogo Prefecture

32,000 fire fighters from 451 fire departments in 41 prefectures were mobilized to support and assist fire extinguishing and lifesaving in the Hyogo Prefecture Nanbu Earthquake that occurred on January 17, 1995. Based on this experience, the emergency fire response team for disaster response (EFRT) was established by the Fire and Disaster Management Agency (FDMA) on June 30, 1995. When large scale disasters occur over wide areas, EFRTs in Japan are dispatched to the disaster places to assist fire fighting on demand or by the order of the commissioner of the FDMA. This study analyzed the background required for establishing the EFRT; the process and details of the legislation; the establishment of basic plans, organizations, and operation plans; and assistance dispatch along with the plan for receiving outside support; registration and the plan for reinforcing equipment; the status of training for preparing assistance dispatch; and activity results in order to provide basic information to prepare large scale disasters and establish coping policies in Korea.

scholarly journals Relief Demand Calculation in Humanitarian Logistics Using Material Classification

2020 ◽  
Vol 17 (2) ◽  
pp. 582
Author(s):  
Jianfang Shao ◽  
Changyong Liang ◽  
Xihui Wang ◽  
Xiang Wang ◽  
Liang Liang
Keyword(s):  
Disaster Response ◽  
Demand Forecasting ◽  
Humanitarian Logistics ◽  
New Method ◽  
On Demand ◽  
Material Classification ◽  
Response Practice ◽  
Different Types ◽  
General Method

Demand calculation, which is the base of most logistics decisions and activities, is a critical work in humanitarian logistics (HL). However, previous studies on demand calculation in HL mainly focus on demand forecasting methodology, with many neglecting the checklist of critical supplies and practice background. This work proposes a new method for relief demand calculation by dividing the process into two parts: supply classification and demand calculation. A general method for classifying relief supplies and clarifying the checklist of relief items for multi-disaster and multiple natural scenarios is given in detail, followed by the procedure of demand calculation for each relief material. The authors present a case study to validate the feasibility and effectiveness of the proposed method based on the disaster response practice in China. Detailed lists of relief demand for different types and severities of disaster are provided.

A resource assignment problem on graphs

1995 ◽  
pp. 418-427 ◽  
Author(s):  
Satoshi Fujita ◽  
Tiko Kameda ◽  
Masafumi Yamashita
Keyword(s):  
Assignment Problem ◽  
Resource Assignment

scholarly journals A multi-agent framework for cloud-based management of collaborative robots

2018 ◽  
Vol 15 (4) ◽  
pp. 172988141878507 ◽  
Author(s):  
Tooba Samad ◽  
Sohail Iqbal ◽  
Asad Waqar Malik ◽  
Omar Arif ◽  
Peter Bloodsworth
Keyword(s):  
Disaster Response ◽  
Traditional Approach ◽  
Geographical Area ◽  
Physical World ◽  
Resource Assignment ◽  
Large Area ◽  
Disaster Situation ◽  
Multi Agent ◽  
Assignment Strategy ◽  
Disaster Scenario

This article presents a cloud-based multi-agent architecture for the intelligent management of aerial robots in a disaster response situation. In a disaster scenario, a team of highly maneuverable quadcopters is deployed to carry out surveillance and decision support in disaster-affected areas. In Pakistan, such events usually result from sudden unpredictable calamities such as earthquakes. The aim of this work is to develop a robust mechanism to autonomously manage and react to sensory inputs received in soft real time from an unstructured environment. The immediate goal is to locate the maximum number of trapped, injured people within a large area, and help first responders plan rescue activities accordingly. To evaluate the proposed framework, a number of simulations are carried out using GAMA platform to emulate a disaster environment. Subsequently, algorithms are developed to survey an affected geographical area through the use of small flight drones. The key challenges in this work are related to the combination of the domains of multi-agent technology, robotics, and cloud computing for effectively bridging the cyber world with the physical world. Therefore, the proposed work demonstrates the effective use of a limited number of drones to capture inputs from a disaster situation in the physical world, and such inputs are used for timely planning of rescue efforts. The results of fixed resource assignment are compared with the proposed reactive assignment strategy, and it clearly shows a significant improvement in terms of resource usage compared to traditional approach.

A hybrid algorithm Tabu Search – GRASP for wounded evacuation in disaster response

2020 ◽  
Vol 54 (1) ◽  
pp. 19-36
Author(s):  
Mohamad Khorbatly ◽  
Hamdi Dkhil ◽  
Hassan Alabboud ◽  
Adnan Yassine
Keyword(s):  
Tabu Search ◽  
Disaster Response ◽  
Hybrid Algorithm ◽  
Complex Problem ◽  
Informed Decision Making ◽  
Search Procedure ◽  
Adaptive Search ◽  
Resource Assignment ◽  
Negative Effects ◽  
Evacuation Plan

Natural and triggered-disasters, have devastating and profound negative effects on human lives that require a speedy declaration of an emergency in order to minimize their severe consequences. Hence, a prompt disaster response, in addition to effective measures such as informed decision making, organized evacuation plan, right hospital selection, proper rescue vehicles, efficient resources assignment and timely vehicle scheduling are critical actions needed to organize successful secured operations that could, if well prepared, save many injured bodies and lessen the human distress. To reach this ultimate goal, a complicated procedure should be in place and any failure can potentially increase the number of causalities, thus a complete alertness and full caution should be exercised. In this paper, we treat the Integrated Problem of Ambulance Scheduling and Resource Assignment (IPASRA) in the case of a sudden disaster. The main resources to be assigned are the ambulances and the hospitals. While, the hospitals serving capacities might be considered or not according to the extent of disaster and particularly to the wounded bodies’ total number. We formulate the (IPASRA) as a linear model, furthermore a novel hybrid algorithm based on Tabu Search (TS) and Greedy Randomized Adaptive Search Procedure (GRASP) is offered to tackle this complex problem. Simulation tests are also presented to prove the efficiency of our modelling and resolution approaches.

A Study on r-Configurations---A Resource Assignment Problem on Graphs

2000 ◽  
Vol 13 (2) ◽  
pp. 227-254 ◽  
Author(s):  
Satoshi Fujita ◽  
Masafumi Yamashita ◽  
Tiko Kameda
Keyword(s):  
Assignment Problem ◽  
Resource Assignment
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