文章基本信息

标题：The Capacitated Transshipment Location Problem Under Uncertainty: A Computational Study
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作者：Mauro Maria Baldi ; Mauro Maria Baldi ; Marco Ghirardi 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2012
卷号：39
页码：424-436
DOI：10.1016/j.sbspro.2012.03.119
语种：English
出版社：Elsevier
摘要：AbstractWe consider the stochastic capacitated transshipment problem for freight transportation where an optimal location of the transshipment facilities, which minimizes the total cost, must be found. The total cost is given by the sum of the total fixed cost plus the expected minimum total flow cost, when the throughput costs of the facilities are random variables with unknown probability distribution. By applying the asymptotic approximation method derived from the Extreme Value Theory, a deterministic non-linear model, which belongs to a wide class of Entropy maximizing models, is then obtained. In this paper, we present a deep analysis of the impact of different probability distributions of the random costs on the problem optimum, as well as on the number of facilities located. The computational results show a very good performance of the deterministic model when compared to the stochastic one.
关键词：Stochastic programming;Extreme Value Theory;deterministic approximation;City Logistics;Two-Echelon Distribution Systems