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dc.contributor.authorChung, Byung Do
dc.contributor.authorYao, Tao
dc.contributor.authorXie, Chi
dc.contributor.authorThorsen, Andreas H.
dc.identifier.citationChung, Byung Do, Tao Yao, Chi Xie, and Andreas Thorsen. “Robust Optimization Model for a Dynamic Network Design Problem Under Demand Uncertainty.” Networks and Spatial Economics 11, no. 2 (September 4, 2010): 371–389. doi:10.1007/s11067-010-9147-2.en_US
dc.description.abstractThis paper describes a robust optimization approach for a network design problem explicitly incorporating traffic dynamics and demand uncertainty. In particular, we consider a cell transmission model based network design problem of the linear programming type and use box uncertainty sets to characterize the demand uncertainty. The major contribution of this paper is to formulate such a robust network design problem as a tractable linear programming model and demonstrate the model robustness by comparing its solution performance with the nominal solution from the corresponding deterministic model. The results of the numerical experiments justify the modeling advantage of the robust optimization approach and provide useful managerial insights for enacting capacity expansion policies under demand uncertainty.en_US
dc.titleRobust Optimization Model for a Dynamic Network Design Problem Under Demand Uncertaintyen_US
mus.citation.journaltitleNetworks and Spatial Economicsen_US
mus.identifier.categoryBusiness, Economics & Managementen_US
mus.relation.collegeCollege of Businessen_US
mus.relation.universityMontana State University - Bozemanen_US
mus.contributor.orcidThorsen, Andreas H.|0000-0002-4592-4413en_US

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