文章基本信息

标题：A multi-objective robust optimization model for the capacitated P-hub location problem under uncertainty ,
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作者：Ahmad Makui ; Mohammad Rostami ; Ehsan Jahani 等
期刊名称：Management Science Letters
印刷版ISSN：1923-9335
电子版ISSN：1923-9343
出版年度：2012
卷号：2
期号：2
页码：525-534
DOI：10.5267/j.msl.2011.12.014
出版社：Growing Science
摘要：Uncertainty plays an important role on many engineering problems and there is a growing interest in having reliable solutions especially for problems with sensitive parameters. The paper presents a robust optimization (RO) model for multi-objective operation of capacitated P-hub location problems (MCpHLP) under uncertainty set. There are, at least, two parameters in any P-hub problems, which are under uncertainty. The first one is associated with demand and the second one is the amount of time required to process commodities. We present a scenario based robust optimization technique, where these two items are considered under various scenario and a RO is implemented to find reliable solutions. The implementation of the proposed RO model is demonstrated for an example using weighting method
关键词：Robust Optimization; Hub Location Multi-Objective Problems; Uncertainty; Capacitated