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Emergency logistics location-routing method based on alpha-reliable mean-excess regret

A technology of regret value and reliability, applied in the field of α-reliability average exceeding regret value, non-dominated sorting genetic algorithm

Inactive Publication Date: 2017-11-21
DALIAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The technical problem to be solved in the present invention is based on the theory of α-reliability average exceeding the regret value, establishes the emergency logistics site selection-route problem model, solves the problems of emergency facility site selection and emergency vehicle route arrangement in the emergency rescue process, and guarantees the solution reliability, timeliness and economy

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  • Emergency logistics location-routing method based on alpha-reliable mean-excess regret

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Embodiment Construction

[0112] The specific implementation manner of the present invention is described below in conjunction with the technical scheme, and the implementation effect of the invention is simulated.

[0113] 1. Data collection

[0114] Limited by the research conditions, the actual data after the earthquake and other emergencies cannot be obtained. The present invention uses a computer to randomly generate 10 demand scenarios after an emergency logistics event, as shown in Table 1-Table 5.

[0115] Table 1 Candidate emergency logistics center information

[0116]

[0117] Table 2 Transport Vehicle Information

[0118]

[0119] Table 3 Information of affected points

[0120]

[0121] Table 4 Transportation schedule (including service time)

[0122]

[0123]

[0124] Continuation:

[0125]

[0126] Table 5 Demand point material demand under each scenario

[0127]

[0128]

[0129] 2. Calculate the optimal value of each target in each scenario

[0130] In the ...

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Abstract

The invention relates to an emergency logistics location-routing method based on alpha-reliable mean-excess regret and belongs to the technical field of emergency facility location and emergency vehicle routing. The actual arrival quantity of material is taken as a decision variable to ensure that the obtained solution is valid in any situation. The trade-off function is introduced to make sensitivity analysis on the total material arrival time and the system cost to help decision makers with different risk preferences to make decisions. Based on the alpha-reliable mean-excess regret theory, the method considers not only the tail risk, but also takes the average value of the total material arrival time and the system cost as the objective function compared with the mean strategy, and the scheme obtained based on the alpha-reliable mean-excess regret theory is excellent in terms of the total material arrival time and the system cost, so that the reliability, timeliness and economy of the scheme can be ensured.

Description

technical field [0001] The invention belongs to the technical field of emergency logistics, relates to the field of site selection of emergency facilities and route arrangement of emergency vehicles, in particular to α-reliable mean-excess regret value (α-reliable mean-excess regret), non-dominated sorting inheritance with elite strategy Algorithm (NSGA-Ⅱ) and other technical methods. Background technique [0002] In "Multi-objective optimal planning for designing relief delivery systems", Tzeng established a multi-objective emergency logistics facility site selection-allocation model. He transformed the multi-objective model into a single-objective model and solved it with Lingo. In "A multi-objective robust optimization model forlogistics planning in the earthquake response phase", Najafi M established a multi-objective dynamic programming model to solve post-disaster rescue with the goal of minimum number of unrescued people, minimum material shortage and minimum number o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08G06Q10/04
CPCG06Q10/047G06Q10/083G06Q10/08355Y02T10/40
Inventor 钟绍鹏王仲程荣邹延权李旭丰
Owner DALIAN UNIV OF TECH
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