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Emergency resource supplying model under multi-supply subjects(PDF)

长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2016年06期
Page:
98-104
Research Field:
交通工程
Publishing date:

Info

Title:
Emergency resource supplying model under multi-supply subjects
Author(s):
WANG Yin HU Da-wei LI Bo
School of Automobile, Chang’an University, Xi’an 710064, Shaanxi, China
Keywords:
traffic engineering emergency logistics agreement supplier multi-supply subject mixed integer model
PACS:
U492.3
DOI:
-
Abstract:
In order to make up the limited capacity of central warehouse of the sudden blowout demand and improve the effectiveness, type and capacity of resource supplying in a major nature disaster, a resource supplying mode of multi-supply subjects participated by the agreement suppliers was proposed. By employing the supply chain theory method, a multi-objective and multi-cycle mixed integer model was developed in this paper with the aims of the minimum deviation of influence and minimal total supplying time. The CPLEX was employed to work out a solution to a numerical experiment of Yushu earthquake after transferring multi-objective to single-objective by the stratified sequencing method. The test results proved the feasibility of the proposed model, and were compared with the actual supplying solution in real world. The results show that resource supplying mode with multi-supply subjects can increase the type and amount of emergency resource reserves, provide productivity to achieve continuous supplying, meet the demand at early stage of disasters, reduce the warehouse supplying pressure caused by long-distance transportation and achieve on-demand supply, and avoid congestion from supplies overdoses. The proposed mode not only can overcome the deficiency of warehouse supplying, improve the precision of resource delivery, and make emergency supplies more efficient and stable, but also can be applied to other natural disaster relief, which is helpful in government’s decision-making of emergency resource relief.

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Last Update: 2016-12-02