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Method and system for hierarchical emergency material allocation based on nonlinear programming

A technology of nonlinear planning and emergency supplies, applied in the field of graded emergency supplies distribution based on nonlinear programming, can solve the problems of increasing the psychological pressure of victims, reducing the efficiency of emergency supplies allocation and transportation, and not considering the urgency of emergency supplies, etc., to achieve The effect of reducing post-disaster casualties, minimizing rescue time, and maximizing utility

Active Publication Date: 2022-08-09
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The inventors found that most of the existing emergency material distribution models do not consider the urgency of the emergency material demand, which reduces the deployment and transportation efficiency of emergency materials and increases the psychological pressure of the victims

Method used

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  • Method and system for hierarchical emergency material allocation based on nonlinear programming
  • Method and system for hierarchical emergency material allocation based on nonlinear programming
  • Method and system for hierarchical emergency material allocation based on nonlinear programming

Examples

Experimental program
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Effect test

Embodiment 1

[0053] like figure 1 As shown, Embodiment 1 of the present disclosure provides a non-linear programming-based hierarchical emergency material allocation method, including the following processes:

[0054] S1: Classify emergency supplies according to the scope of application;

[0055] S2: Quantify the material needs of the disaster site for one day according to the categories of emergency materials classified by S1;

[0056] S3: According to the urgency of the use of emergency materials, the emergency materials are divided into emergency-level materials and general-level materials;

[0057] S4: Use the emergency-level materials obtained in S3 to establish an objective function with the smallest transportation cost, the smallest penalty cost, and the shortest transportation cost, and establish the first multi-objective nonlinear programming model;

[0058] S5: Use the first multi-objective nonlinear programming model obtained in S4 to solve the emergency-level material distrib...

Embodiment 2

[0118] Embodiment 2 of the present disclosure provides a hierarchical emergency material distribution system based on nonlinear programming, including:

[0119] The material classification module is configured to: classify the current emergency materials according to the applicable scope;

[0120] The demand quantification module is configured to: according to the category of emergency materials, quantify the material demand within the preset time period of the disaster-stricken point;

[0121] The material grading module is configured to: according to the quantitative results and the urgency of the use of emergency materials, the emergency materials are divided into emergency materials and general materials;

[0122] The emergency material allocation module is configured to: according to the obtained emergency level materials, combined with the first multi-objective nonlinear programming model constructed with the objectives of minimum transportation cost, minimum penalty cos...

Embodiment 3

[0126] Embodiment 3 of the present disclosure provides a computer-readable storage medium on which a program is stored, and when the program is executed by a processor, implements the steps in the nonlinear programming-based hierarchical emergency material allocation method described in Embodiment 1 of the present disclosure step.

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PUM

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Abstract

The present disclosure provides a hierarchical emergency material allocation method and system based on nonlinear planning, which classifies emergency materials according to their applicable scope, and quantitatively analyzes the daily demand for emergency materials at each disaster-stricken point; the basic principle of putting people first Divide the materials into emergency-level materials and general-level materials, so as to minimize rescue time and reduce casualties in disaster areas; formulate different distribution plans for emergency-level materials and general-level materials; among them, for emergency-level materials, the transportation cost is minimized and the penalty is reduced. The minimum cost and minimum transportation time are used as the objective functions; for general-level materials, the minimum transportation and penalty costs are used as the objective functions, and multi-objective nonlinear programming models are established respectively to optimize the allocation of emergency materials in a fair and reasonable manner and maximize the utility of rescue materials. , to minimize rescue time, thereby reducing post-disaster casualties.

Description

technical field [0001] The present disclosure relates to the technical field of intelligent material distribution, and in particular, to a method and system for hierarchical emergency material distribution based on nonlinear programming. Background technique [0002] The statements in this section merely provide background related to the present disclosure and do not necessarily constitute prior art. [0003] Various sudden disasters broke out frequently, which greatly affected people's normal production and life. Large-scale sudden disasters often lead to a large number of casualties and damage to facilities, resulting in a large number of economic losses. After a sudden disaster occurs, the disaster-affected areas will have a large demand for emergency materials in a very short period of time. However, the emergency materials available for use in the early post-disaster period are very limited. Therefore, how to determine the material transportation strategy, scientifica...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04G06Q50/26G06Q50/30G06N3/12
CPCG06Q10/06315G06Q10/04G06Q50/26G06N3/126G06Q50/40
Inventor 宋曙光程恩浩熊淑贤
Owner SHANDONG NORMAL UNIV
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