Emergency Material Dispatch Research Articles

A Literature Study of Emergency Material Dispatch Models and Optimisation in the Context of Natural Disasters

The recurrent occurrence of natural disasters has brought into sharp focus the urgent need for the expedient distribution of emergency materials. In the aftermath of a disaster, the swift and precise distribution of essential emergency supplies is of the utmost importance in ensuring the basic survival needs of the affected population are met, minimising the impact of the disaster and maintaining social stability. In order to provide a comprehensive overview of the research progress in the field of emergency supplies dispatching after natural disasters, we employ the knowledge graph analysis software VOSviewer to investigate the optimisation issues pertaining to the emergency supplies dispatching model, taking into account the inherent uncertainty, from a multi-objective standpoint and across a range of algorithms. A total of 375 literature sources were included in the China Knowledge Network database for review. The research objectives, methods and conclusions of the representative literature on hot spots at home and abroad were subjected to analysis. The review examines the research objectives, methodologies and conclusions of the most prominent literature on the subject, both domestic and international, and analyses the current status of research on the scheduling of emergency materials in the context of natural disasters. By synthesising these findings, we aim to identify gaps in existing research and suggest directions for future endeavours to promote a more resilient and effective emergency management system that can respond rapidly to the ever-changing needs of disaster-affected communities.

An Improved PSO Algorithm for Optimized Material Scheduling in Emergency Relief

Efficient emergency material dispatch, amid the aftermath of an emergency event, can help control the spread of the disaster and reduce disaster losses. Herewith, we propose a model with the urgency of material demand as the target coefficient, and the minimum load time and the minimum transportation cost as the total cost. For this model, an improved particle swarm optimization (PSO) algorithm is proposed as the means to optimize the initial positions of particles with good point sets and improve the convergence speed with adaptive dynamic weights to improve the optimization of the emergency material dispatch model. In order to verify the effectiveness of the proposed model and algorithm improvement strategy, the experimental results are verified by means of simulation experiments and algorithm comparison experiments, which show that the proposed emergency material dispatch model and the improved PSO algorithm cannot only solve the post-disaster relief material distribution and dispatching problem but also effectively reduce the total cost of emergency material dispatching.

An emergency supplies scheduling for chemical industry park: based on super network theory.

In a concentrated area of chemical industry parks (CIPs), emergency relief efficiency is not only affected by the rescue capability of themselves, but also their coordination relationships with other CIPs. Previous studies focus on the location of resource warehouse and the scheduling of logistics transportation, in the relief process after unexpected events, but rarely integrate them ideally in practice. This paper utilizes the super network theory to propose a regional emergency scheduling model to improve collaboration efficiency among primary relief centers (PRC), local relief centers (LRC), and CIPs. So, the proposed super network model fills the research gap of only considering emergency logistic supply chain and provides decision scheme regarding the emergency material dispatch plan. We developed a modified projection algorithm to solve the scheduling problem by turning it to a variational inequality and compare the performance under several disaster scenarios. The practicability of the model is proved by the result of the numerical example given.

Emergency logistics scheduling with multiple supply-demand points based on grey interval

This study aimed to address the problem of post-disaster emergency material dispatching from multiple supply points to multiple demand points. In large-scale natural disasters, it is very important for multiple emergency material supply points to serve as sources of materials for multiple disaster sites and to determine emergency material scheduling solutions accurately. Furthermore, the quantity of emergency materials required at each disaster site is uncertain. To address this issue, in this study, we developed an emergency material scheduling model with multiple logistics supply points for multiple demand points based on the grey interval numbers. To optimize the proposed multi-supply-point and multi-demand-point emergency material scheduling mode, a multi-objective optimization algorithm based on a genetic algorithm was used. Experimental results demonstrate that the multi-objective optimization method can solve the emergency logistics scheduling problem better than the particle swarm optimization multi-objective solution algorithm. Additionally, the multi-supply point and multi-demand point emergency material dispatch model and optimization algorithm provides robust support for emergency management system decision-makers when they need to respond quickly to disaster relief activities.

Research on Optimization of Power Emergency Material Dispatching for Beijing Winter Olympics

The Beijing Winter Olympic Games is an extremely important event, and the supply of electricity is the basis for it. In order to prevent the sudden loss of power to the event, it is necessary to carry out power repair and restore normal power supply in the shortest possible time. Contemporary research is less focused on the emergency repair of power systems. This thesis studies the dispatching of power emergency materials in two stages and in the first stage, the minimum gap rate and the shortest time for material dispatching and transportation are mainly considered, and the required types of power emergency materials are dispatched from the storage near the Olympic venues to various power failure points. In the second stage, aiming at the shortage of power emergency materials at each fault point, the power emergency materials will be dispatched from the rear national power grid regional material reserve to the power emergency materials reserve near the Olympic venues and then dispatched to each power fault point through the power emergency materials reserve. Finally, this paper verifies the effectiveness of the combination of the primary and secondary dispatching models in an example, providing a reference for further improving the emergency response capability of the Olympic venues and improving the safety system of the power system.

Research on Maritime Emergency Material Dispatch Based on Beetle Antennae Search Algorithm

The research on dispatching of emergency supplies for maritime emergencies is the key to improve the use efficiency of marine emergency resources and the success rate of search and rescue. In view of the characteristics of emergency accidents at sea, in this paper, a material scheduling model with the shortest time is built for multi-accident points, multi-ship dispatching and multi-material supply points, and the optimal material scheduling scheme is obtained. The step-size updating coefficient eta is introduced into the variable step-size optimization search algorithm ( BAS ), so that the step-size decreases with the depth of optimization, which improves the searching precision and accuracy of the search algorithm. The simulation experiment verifies that this algorithm can solve the optimization scheme of material scheduling quickly and efficiently.

Dynamic Scheduling Optimization of Marine Oil Spill Emergency Resource

Huang, X.L.; Ren, Y.T.; Zhang, J.A.; Wang, D., and Liu, J.P., 2020. Dynamic scheduling optimization of marine oil spill emergency resource. In: Qiu, Y.; Zhu, H., and Fang, X. (eds.), Current Advancements in Marine and Coastal Research for Technological and Sociological Applications. Journal of Coastal Research, Special Issue No. 107, pp. 437-442. Coconut Creek (Florida), ISSN 0749-0208.With the increasing development of marine resources development and marine transportation, oil spill has become one of the main threats to marine ecological environment. Considering that the oil film has the characteristics of drift, this paper studies the oil spill emergency material scheduling problem with multiple oil films. Firstly, the position of oil film drifting with time under the influence of sea condition is calculated. Secondly, aiming at the shortest scheduling time and the lowest cost, the dynamic scheduling optimization model of oil spill emergency materials is constructed. The maximum threshold of emergency dispatch time is introduced to transform the model, and MPSO algorithm is designed to solve the model. The results show that the emergency materials can be transported to the accident site within the prescribed time, thus preventing the continuous diffusion of pollution. At the same time, it can avoid unnecessary waste and reduce economic loss. And it can provide the theoretical support for the decision-maker to make the emergency material dispatch plan.

Research on the Optimized Dispatch and Transportation Scheme for Emergency Logistics

Reasonable dispatch and transportation of emergency material is one of the key problems of emergency logistics. In this paper, emergency material dispatch and transportation problem is studied, and the two-dimensional, the material dispatching and the material transportation, and multi-objective, achieving the shortest time and the shortest cost, optimization model is put forward for the first time. The method of rescue point decomposition is used to reduce the dimension of the model. After comparing the ideal points algorithm with ant colony algorithm, the ideal points algorithm is chosen to solve the problem. Moreover, the simulation experiment is done to verify the rationality of the model and the correctness of the algorithm, thus emergency material dispatch and transportation problem is solved.

An improved fuzzy linear weighting method of multi-objective programming problems and its application

Multi-objective programming problem is a branch of mathematical programming, and the general method is to transform it into a single objective programming problem. In this paper, in order to consider the different importance of each objective function, \begin{document}$ G1 $\end{document} method for determining the weight of each objective function is proposed. Then, the membership function of each objective function is linearly weighted after being solved, and the multi-objective programming problem is transformed into a single objective programming problem. We obtain and prove the equivalent model of the single objective programming problem, and also obtain the non-inferior solution of the original multi-objective programming problem by solving the optimal solution of the equivalent model. Finally, the feasibility and effectiveness of this method is proved by the example of emergency material dispatch problem.

Optimization of Emergency Material Dispatch from Multiple Depot Locations to Multiple Disaster Sites

This study establishes an optimization model of emergency material dispatch with the objectives of the highest reliability and lowest cost when the time frame is uncertain and the emergency material must be dispatched from multiple depot locations to multiple disaster sites. Because the two objectives are not consistent with one another, we propose an algorithm for solving the model by introducing the concept of ideal points, whereby the ideal point between the two objectives is considered the best plan. The study also proves the feasibility and validity of the algorithm with real-life examples.

Multi-Objective Emergency Material Vehicle Dispatching and Routing under Dynamic Constraints in an Earthquake Disaster Environment

Emergency material vehicle dispatching and routing (EMVDR) is an important task in emergency relief after large-scale earthquake disasters. However, EMVDR is subject to dynamic disaster environment, with uncertainty surrounding elements such as the transportation network and relief materials. Accurate and dynamic emergency material dispatching and routing is difficult. This paper proposes an effective and efficient multi-objective multi-dynamic-constraint emergency material vehicle dispatching and routing model. Considering travel time, road capacity, and material supply and demand, the proposed EMVDR model is to deliver emergency materials from multiple emergency material depositories to multiple disaster points while satisfying the objectives of maximizing transport efficiency and minimizing the difference of material urgency degrees among multiple disaster points at any one time. Furthermore, a continuous-time dynamic network flow method is developed to solve this complicated model. The collected data from Ludian earthquake were used to conduct our experiments in the post-quake and the results demonstrate that: (1) the EMVDR model adapts to the dynamic disaster environment very well; (2) considering the difference of material urgency degree, the material loss ratio is −10.7%, but the variance of urgency degree decreases from 2.39 to 0.37; (3) the EMVDR model shows good performance in time and space, which allows for decisions to be made nearly in real time. This paper can provide spatial decision-making support for emergency material relief in large-scale earthquake disasters.

A Genetic Algorithm based Approach for Emergency Material Dispatch among Multiple Disaster Points using the Principle of Balance

A Genetic Algorithm based Approach for Emergency Material Dispatch among Multiple Disaster Points using the Principle of Balance