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An adaptive structure of a hub-and-spoke system with direct and depot shipments in the case of volatile demand over time

Author

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  • Günther Zäpfel

    (Johannes Kepler University Linz)

  • Michael Bögl

    (Christian Doppler Laboratory for Efficient Intermodal Transport Operations)

Abstract

The classical logistic structure for a group age delivery system in a defined geographic region is often created by a hub-and-spoke system consisting of depots, service areas of the depots, routes for each depot from and to the customers in the service area, and a line haul design. The hub-and-spoke structure is fixed as part of strategic planning. Due to the long planning horizon of strategic planning it is often difficult to predict demand over time. Operating a certain hub-and-spoke system in case of highly variable demand during the life cycle can result in inefficiency of the transportation system. In this paper an adaptive planning system is developed that can rearrange the service areas and the depots as well as the trans-loading points between line haul and local tours of the service areas and determine new vehicle routes. Our hub-and-spoke system also allows direct service from the hub to a single customer. The re-optimization of the hub-and-spoke system is based on a solution of a multi-depot variable service areas vehicle routing problem (MD-VSA-VRP). The problem is NP-hard. In this paper we present a mixed integer linear program and a metaheuristic solution concept. Further, we show via case studies the applicability of the new planning model.

Suggested Citation

  • Günther Zäpfel & Michael Bögl, 2016. "An adaptive structure of a hub-and-spoke system with direct and depot shipments in the case of volatile demand over time," Journal of Business Economics, Springer, vol. 86(7), pages 697-721, October.
    • Handle: RePEc:spr:jbecon:v:86:y:2016:i:7:d:10.1007_s11573-015-0784-2
    DOI: 10.1007/s11573-015-0784-2
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    References listed on IDEAS

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    1. Alumur, Sibel & Kara, Bahar Y., 2008. "Network hub location problems: The state of the art," European Journal of Operational Research, Elsevier, vol. 190(1), pages 1-21, October.
    2. Nagy, Gabor & Salhi, Said, 2007. "Location-routing: Issues, models and methods," European Journal of Operational Research, Elsevier, vol. 177(2), pages 649-672, March.
    3. Perl, Jossef & Daskin, Mark S., 1985. "A warehouse location-routing problem," Transportation Research Part B: Methodological, Elsevier, vol. 19(5), pages 381-396, October.
    4. Karaoglan, Ismail & Altiparmak, Fulya & Kara, Imdat & Dengiz, Berna, 2012. "The location-routing problem with simultaneous pickup and delivery: Formulations and a heuristic approach," Omega, Elsevier, vol. 40(4), pages 465-477.
    5. Aykin, Turgut, 1994. "Lagrangian relaxation based approaches to capacitated hub-and-spoke network design problem," European Journal of Operational Research, Elsevier, vol. 79(3), pages 501-523, December.
    6. Sonmez, Ayse Durukan & Lim, Gino J., 2012. "A decomposition approach for facility location and relocation problem with uncertain number of future facilities," European Journal of Operational Research, Elsevier, vol. 218(2), pages 327-338.
    7. Wasner, Michael & Zapfel, Gunther, 2004. "An integrated multi-depot hub-location vehicle routing model for network planning of parcel service," International Journal of Production Economics, Elsevier, vol. 90(3), pages 403-419, August.
    8. Christian Prins & Caroline Prodhon & Angel Ruiz & Patrick Soriano & Roberto Wolfler Calvo, 2007. "Solving the Capacitated Location-Routing Problem by a Cooperative Lagrangean Relaxation-Granular Tabu Search Heuristic," Transportation Science, INFORMS, vol. 41(4), pages 470-483, November.
    9. Ernst, Andreas T. & Krishnamoorthy, Mohan, 1998. "Exact and heuristic algorithms for the uncapacitated multiple allocation p-hub median problem," European Journal of Operational Research, Elsevier, vol. 104(1), pages 100-112, January.
    10. Campbell, James F., 1994. "Integer programming formulations of discrete hub location problems," European Journal of Operational Research, Elsevier, vol. 72(2), pages 387-405, January.
    11. Teodor Gabriel Crainic & Nicoletta Ricciardi & Giovanni Storchi, 2009. "Models for Evaluating and Planning City Logistics Systems," Transportation Science, INFORMS, vol. 43(4), pages 432-454, November.
    12. Prodhon, Caroline & Prins, Christian, 2014. "A survey of recent research on location-routing problems," European Journal of Operational Research, Elsevier, vol. 238(1), pages 1-17.
    13. Skorin-Kapov, Darko & Skorin-Kapov, Jadranka, 1994. "On tabu search for the location of interacting hub facilities," European Journal of Operational Research, Elsevier, vol. 73(3), pages 502-509, March.
    14. Albareda-Sambola, Maria & Fernández, Elena & Nickel, Stefan, 2012. "Multiperiod Location-Routing with Decoupled Time Scales," European Journal of Operational Research, Elsevier, vol. 217(2), pages 248-258.
    15. Guido Perboli & Roberto Tadei & Daniele Vigo, 2011. "The Two-Echelon Capacitated Vehicle Routing Problem: Models and Math-Based Heuristics," Transportation Science, INFORMS, vol. 45(3), pages 364-380, August.
    16. Nagy, Gabor & Salhi, Said, 2005. "Heuristic algorithms for single and multiple depot vehicle routing problems with pickups and deliveries," European Journal of Operational Research, Elsevier, vol. 162(1), pages 126-141, April.
    17. Helmut Dietl & Markus Lang & Martin Lutzenberger & Stephan Wagner, 2008. "RFID-based Entry into the German B2B Parcel Market and its Effect on Competitive Strategies, Prices and Market Shares: The Case of Red Parcel Post," Working Papers 0084, University of Zurich, Institute for Strategy and Business Economics (ISU), revised Oct 2009.
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    More about this item

    Keywords

    Distribution; Routing; Transportation; Large-scale optimization; Facilities planning and design;
    All these keywords.

    JEL classification:

    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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