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Usability Of Performance Indicators Of Logistics Infrastructure Availability In Supply Chain Designing

Author

Listed:
  • Pavel Foltin

    (University of Defence in Brno, Faculty of Military Leadership)

  • Martin Brunclík

    (University of Defence in Brno, Faculty of Military Leadership)

  • Vojtěch Ondryhal

    (University of Defence in Brno, Faculty of Military Technology)

  • Lukás Vogal

    (University of Defence in Brno, Faculty of Military Leadership)

Abstract

Level of supply chain performance is highly influenced by capability of logistics infrastructure as well as created network of activities and services operating at global, national, and regional scales. Dynamic environment can significantly influence expected availability and real capability of logistics infrastructure. The article represents possible analytical approach to supply chain design and identification of factors influencing logistics performance. In addition, the paper deals with application of key indicators and indexes to the classification of individual national levels of available logistics infrastructure. Clustering algorithms (k-means and hierarchical) and classification methods (decision trees, kNN and logistic regression) have been used for classification model construction and results evaluation. Furthermore, possible application for forecasting logistics infrastructure availability has been discussed.

Suggested Citation

  • Pavel Foltin & Martin Brunclík & Vojtěch Ondryhal & Lukás Vogal, 2018. "Usability Of Performance Indicators Of Logistics Infrastructure Availability In Supply Chain Designing," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 18, pages 157-170.
    • Handle: RePEc:osi:bulimm:v:18:y:2018:p:157-170
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    References listed on IDEAS

    as
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    2. Rehak, David & Markuci, Jiri & Hromada, Martin & Barcova, Karla, 2016. "Quantitative evaluation of the synergistic effects of failures in a critical infrastructure system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 14(C), pages 3-17.
    3. Kauppi, Katri & Longoni, Annachiara & Caniato, Federico & Kuula, Markku, 2016. "Managing country disruption risks and improving operational performance: risk management along integrated supply chains," International Journal of Production Economics, Elsevier, vol. 182(C), pages 484-495.
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