A multi-objective robust optimization model for the capacitated P-hub location problem under uncertainty

Makui, A.; Rostami, M.; Jahani, E.; Nikui, A.

Growing Science » Management Science Letters » A multi-objective robust optimization model for the capacitated P-hub location problem under uncertainty

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Management Science Letters

ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print) Quarterly Publication Volume 2 Issue 2 pp. 525-534 , 2002

A multi-objective robust optimization model for the capacitated P-hub location problem under uncertainty Pages 525-534 Download PDF

Authors: Ahmad Makui, Mohammad Rostami, Ehsan Jahani, Ahmad Nikui

DOI: 10.5267/j.msl.2011.12.014

Keywords: Capacitated, Hub Location, Multi-Objective Problems, Robust Optimization, Uncertainty

Abstract: 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.

How to cite this paper

 Makui, A., Rostami, M., Jahani, E & Nikui, A. (2002). A multi-objective robust optimization model for the capacitated P-hub location problem under uncertainty.Management Science Letters , 2(2), 525-534.

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