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An Integrated Approach to Tactical Transportation Planning in Logistics Networks

Author

Listed:
  • Tobias Harks

    (School of Business and Economics, Maastricht University, 6211 LM Maastricht, Netherlands)

  • Felix G. König

    (TomTom International BV, 12435 Berlin, Germany)

  • Jannik Matuschke

    (Technische Universität Berlin, Institut für Mathematik, 10623 Berlin, Germany)

  • Alexander T. Richter

    (Technische Universität Berlin, Institut für Mathematik, 10623 Berlin, Germany)

  • Jens Schulz

    (Technische Universität Berlin, Institut für Mathematik, 10623 Berlin, Germany)

Abstract

We propose a new mathematical model for transport optimization in logistics networks on the tactical level. The main features include accurately modeled tariff structures and the integration of spatial and temporal consolidation effects via a cyclic pattern expansion. Using several graph-based gadgets, we are able to formulate our problem as a capacitated network design problem. To solve the model, we propose a local search procedure that reroutes flow of multiple commodities at once. Initial solutions are generated by various heuristics, relying on shortest path augmentations and LP techniques. As an important subproblem we identify the optimization of tariff selection on individual links, which we prove to be NP -hard and for which we derive exact as well as fast greedy approaches. We complement our heuristics by lower bounds from an aggregated mixed-integer programming formulation with strengthened inequalities. In a case study from the automotive, chemical, and retail industries, we prove that most of our solutions are within a single-digit percentage of the optimum.

Suggested Citation

  • Tobias Harks & Felix G. König & Jannik Matuschke & Alexander T. Richter & Jens Schulz, 2016. "An Integrated Approach to Tactical Transportation Planning in Logistics Networks," Transportation Science, INFORMS, vol. 50(2), pages 439-460, May.
    • Handle: RePEc:inm:ortrsc:v:50:y:2016:i:2:p:439-460
    DOI: 10.1287/trsc.2014.0541
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    References listed on IDEAS

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    4. Li Zhu & Yeming Gong & Yishui Xu & Jun Gu, 2019. "Emergency Relief Routing Models for Injured Victims Considering Equity and Priority," Post-Print hal-02879681, HAL.

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