IDEAS home Printed from https://ideas.repec.org/a/vrs/founma/v4y2012i2p77-96n6.html
   My bibliography  Save this article

Optimization Model for Multimodal Transportation Networks Based on Supply Chain

Author

Listed:
  • Sitek Paweł
  • Wikarek Jarosław

    (Faculty of Electrical Engineering, Automatics and Computer Science Kielce University of Technology, Kielce, Poland)

Abstract

The article presents the problem of supply chain optimization from the perspective of a multimodal logistics provider and includes a mathematical model of multilevel cost optimization in the form of MILP (Mixed Integer Linear Programming). The costs of production, transport, distribution and environmental protection were adopted as optimization criteria. Timing, volume, capacity and mode of transport were also taken into account. The model was implemented in the LINGO ver.12. The numerical experiments were carried out using sample data to show the possibilities of practical decision support and supply chain optimization.

Suggested Citation

  • Sitek Paweł & Wikarek Jarosław, 2012. "Optimization Model for Multimodal Transportation Networks Based on Supply Chain," Foundations of Management, Sciendo, vol. 4(2), pages 77-96, December.
    • Handle: RePEc:vrs:founma:v:4:y:2012:i:2:p:77-96:n:6
    DOI: 10.2478/fman-2013-0012
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/fman-2013-0012
    Download Restriction: no
    File URL: https://libkey.io/10.2478/fman-2013-0012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jung, Hosang & Jeong, Bongju & Lee, Chi-Guhn, 2008. "An order quantity negotiation model for distributor-driven supply chains," International Journal of Production Economics, Elsevier, vol. 111(1), pages 147-158, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hui, Yer Van & Gao, Jia & Leung, Lawrence & Wallace, Stein, 2014. "Airfreight forwarder’s shipment planning under uncertainty: A two-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 83-102.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Emenike, Scholastica N. & Falcone, Gioia, 2020. "A review on energy supply chain resilience through optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    2. Aurelija Burinskienė, 2021. "Designing a Multi-Stage Transport System Serving e-Commerce Activity," Sustainability, MDPI, vol. 13(11), pages 1-19, May.
    3. N Lehoux & S D'Amours & Y Frein & A Langevin & B Penz, 2011. "Collaboration for a two-echelon supply chain in the pulp and paper industry: the use of incentives to increase profit," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 581-592, April.
    4. Wafa Ben Yahia & Omar Ayadi & Faouzi Masmoudi, 2017. "A fuzzy-based negotiation approach for collaborative planning in manufacturing supply chains," Journal of Intelligent Manufacturing, Springer, vol. 28(8), pages 1987-2006, December.
    5. Weraikat, Dua & Zanjani, Masoumeh Kazemi & Lehoux, Nadia, 2016. "Two-echelon pharmaceutical reverse supply chain coordination with customers incentives," International Journal of Production Economics, Elsevier, vol. 176(C), pages 41-52.
    6. Jafar Heydari, 2015. "Coordinating replenishment decisions in a two-stage supply chain by considering truckload limitation based on delay in payments," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(10), pages 1897-1908, July.
    7. Ge, Houtian & Gray, Richard & Nolan, James, 2015. "Agricultural supply chain optimization and complexity: A comparison of analytic vs simulated solutions and policies," International Journal of Production Economics, Elsevier, vol. 159(C), pages 208-220.
    8. Mula, Josefa & Peidro, David & Díaz-Madroñero, Manuel & Vicens, Eduardo, 2010. "Mathematical programming models for supply chain production and transport planning," European Journal of Operational Research, Elsevier, vol. 204(3), pages 377-390, August.

    More about this item

    Statistics

    Access and download statistics

    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:vrs:founma:v:4:y:2012:i:2:p:77-96:n:6. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.