New Formulations for the Scheduled Service Network Design Problem with Piecewise Linear Costs

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Combinatorial Optimization and Applications

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 358))

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Abstract

The Scheduled Service Network Design Problem (SSNDP) models a wide range of tactical planning issues in the operation of freight transportation networks. Most variants of the problem model transportation costs that follow a step function that represents constant per-vehicle costs. However, piecewise linear functions have also been used to model cases where transportation costs are quoted on a per-unit-of-flow basis, with the rate decreasing in the amount of flow. We present a formulation strategy for the SSNDP that can be used for cost functions of any structure as it is based on encoding cost functions in data. With an extensive computational study we study the performance of solving instances of these formulations with an off-the-shelf solver.

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Acknowledgements

We would like do dedicate this work to Bernard Gendron for his numerous contributions to the topic and his extreme kindness.

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Correspondence to Mike Hewitt .

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Hewitt, M., Lehuédé, F. (2024). New Formulations for the Scheduled Service Network Design Problem with Piecewise Linear Costs. In: Crainic, T.G., Gendreau, M., Frangioni, A. (eds) Combinatorial Optimization and Applications. International Series in Operations Research & Management Science, vol 358. Springer, Cham. https://doi.org/10.1007/978-3-031-57603-4_8

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