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Optimization Model for Multimodal Transportation Networks Based on Supply Chain

Author

Listed:
  • Sitek Paweł

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

  • 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
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    References listed on IDEAS

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    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.
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    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.

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