IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v10y2017i3d10.1007_s12063-017-0125-4.html
   My bibliography  Save this article

Levers of logistics service providers’ efficiency in urban distribution

Author

Listed:
  • Anna Corinna Cagliano

    () (Department of Management and Production Engineering, Politecnico di Torino)

  • Alberto Marco

    () (Department of Management and Production Engineering, Politecnico di Torino)

  • Giulio Mangano

    () (Department of Management and Production Engineering, Politecnico di Torino)

  • Giovanni Zenezini

    () (Department of Management and Production Engineering, Politecnico di Torino)

Abstract

Abstract This paper identifies the most important factors that influence the productivity of the urban fleet of a Logistics Service Provider (LSP). Through a regression analysis on a dataset from distribution warehouses of a single LSP, three main levers are shown to have significant impacts on productivity, namely the network design, the vehicle loading strategy, and the business environment wherein the operations are carried out. This paper contributes to bridge the gap about the lack of works addressing the efficiency of LSPs operating in urban areas, by performing a detailed empirical analysis instead of taking an aggregated company perspective.

Suggested Citation

  • Anna Corinna Cagliano & Alberto Marco & Giulio Mangano & Giovanni Zenezini, 2017. "Levers of logistics service providers’ efficiency in urban distribution," Operations Management Research, Springer, vol. 10(3), pages 104-117, December.
  • Handle: RePEc:spr:opmare:v:10:y:2017:i:3:d:10.1007_s12063-017-0125-4
    DOI: 10.1007/s12063-017-0125-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-017-0125-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ehmke, Jan Fabian & Campbell, Ann Melissa & Thomas, Barrett W., 2016. "Vehicle routing to minimize time-dependent emissions in urban areas," European Journal of Operational Research, Elsevier, vol. 251(2), pages 478-494.
    2. Yu, Mingzhu & Qi, Xiangtong, 2014. "A vehicle routing problem with multiple overlapped batches," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 40-55.
    3. Wanke, Peter F., 2013. "Physical infrastructure and flight consolidation efficiency drivers in Brazilian airports: A two-stage network-DEA approach," Journal of Air Transport Management, Elsevier, vol. 31(C), pages 1-5.
    4. Kayakutlu, Gulgun & Buyukozkan, Gulcin, 2011. "Assessing performance factors for a 3PL in a value chain," International Journal of Production Economics, Elsevier, vol. 131(2), pages 441-452, June.
    5. Hamdan, Amer & (Jamie) Rogers, K.J., 2008. "Evaluating the efficiency of 3PL logistics operations," International Journal of Production Economics, Elsevier, vol. 113(1), pages 235-244, May.
    6. Wanke, Peter F., 2013. "Physical infrastructure and shipment consolidation efficiency drivers in Brazilian ports: A two-stage network-DEA approach," Transport Policy, Elsevier, vol. 29(C), pages 145-153.
    7. Lai, Kee-Hung & Ngai, E. W. T. & Cheng, T. C. E., 2004. "An empirical study of supply chain performance in transport logistics," International Journal of Production Economics, Elsevier, vol. 87(3), pages 321-331, February.
    8. Gérard P. Cachon, 2014. "Retail Store Density and the Cost of Greenhouse Gas Emissions," Management Science, INFORMS, vol. 60(8), pages 1907-1925, August.
    9. Holgui­n-Veras, José & Wang, Qian & Xu, Ning & Ozbay, Kaan & Cetin, Mecit & Polimeni, John, 2006. "The impacts of time of day pricing on the behavior of freight carriers in a congested urban area: Implications to road pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(9), pages 744-766, November.
    10. Peter Wanke & Henrique Correa, 2012. "Supply chain management and logistics complexity: a contingency approach," International Journal of Logistics Economics and Globalisation, Inderscience Enterprises Ltd, vol. 4(4), pages 239-271.
    11. Figliozzi, Miguel Andres, 2007. "Analysis of the efficiency of urban commercial vehicle tours: Data collection, methodology, and policy implications," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 1014-1032, November.
    12. 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.
    13. Koç, Çağrı & Bektaş, Tolga & Jabali, Ola & Laporte, Gilbert, 2016. "The impact of depot location, fleet composition and routing on emissions in city logistics," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 81-102.
    14. Panayides, Photis M. & So, Meko, 2005. "Logistics service provider-client relationships," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(3), pages 179-200, May.
    15. Desaulniers, Guy & Lavigne, June & Soumis, Francois, 1998. "Multi-depot vehicle scheduling problems with time windows and waiting costs," European Journal of Operational Research, Elsevier, vol. 111(3), pages 479-494, December.
    16. Graham, Daniel J., 2008. "Productivity and efficiency in urban railways: Parametric and non-parametric estimates," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(1), pages 84-99, January.
    17. Figliozzi, Miguel Andres, 2010. "The impacts of congestion on commercial vehicle tour characteristics and costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(4), pages 496-506, July.
    Full references (including those not matched with items on IDEAS)

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:opmare:v:10:y:2017:i:3:d:10.1007_s12063-017-0125-4. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.