Needs, Barriers and Analysis Methods for Integrated Urban Freight
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2015-08-01
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Edition:Final report
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Abstract:In this joint project University of Maryland, West Virginia University, and Morgan State University worked together to solve critical problems associated with urban freight systems. A review of literature and case studies on freight villages and urban consolidation centers was conducted to identify factors critical for success of the strategies. Two specific problems were tackled in this research project. A novel mathematical model was developed to optimize transfers given the various sources of uncertainty in real world. The proposed probabilistic model is designed to minimize the expected cost and is generally applicable to cases including different distributions of random parameters. As an example application, the researchers have applied their model on the problem of dispatching trucks for a truck-rail intermodal system. The second problem tackled was accounting for retailer demand correlation in an joint location-inventory problem in an urban supply chain comprising of a plant, warehouse, and retailers. The resulting formulation is a convex mixed integer nonlinear program which can be efficiently solved using an outer approximation algorithm.
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