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发表时间：2013-01-01

发表刊物：系统工程理论与实践

所属单位：经济管理学院

期号：6

页面范围：1492-1500

ISSN号：1000-6788

摘要：This paper focused on relief materials dynamic scheduling after large emergency. We quantified the loss of victims in terms of unmet needs, and formulated a mixed integer programming model in order to minimize victims' loss and vehicle scheduling expense. The main decisions were determining the delivery routes and allocating the relief supplies from relief distribution center (RDC) to save points without sufficient vehicle quantity. We used the hierarchical thinking to reduce solution space, improved the coding method and designed the genetic algorithm for this problem. Finally, experimental results show the dynamic scheduling scheme under different vehicle quantity, and determine the optimal vehicle quantity in RDC through comparative analysis, the validity of this model and algorithm is veri_ed combining with realistic distribution scheme.

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