Profit-oriented fixed-charge network design with elastic demand
Carlos Armando Zetina,
Ivan Contreras and
Jean-François Cordeau
Transportation Research Part B: Methodological, 2019, vol. 127, issue C, 1-19
Abstract:
This paper extends classic fixed-charge multicommodity network design by explicitly considering demand elasticity with respect to routing cost in a profit maximization context with service commitments. Demand quantity is determined by a spatial interaction model that accounts for routing costs, thus capturing the trade-off between infrastructure investment, efficient routing, and increased revenue. A numerical example is presented to demonstrate the added value of incorporating demand elasticity in profit-oriented network design problems. An arc-based and a path-based formulation, both with the flexibility of incorporating O/D pair selection by means of network and data transformations, are presented. The arc-based formulation is solved using state-of-the-art global optimization software while the path-based formulation serves as the basis for a hybrid matheuristic that combines a slope scaling metaheuristic and column generation. Computational experience shows the hybrid matheuristic to be superior in terms of solution quality and computation time.
Keywords: Gravity model; Networks; Elastic demand; Global optimization (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:transb:v:127:y:2019:i:c:p:1-19
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DOI: 10.1016/j.trb.2019.06.004
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