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Directness as a key performance indicator for freight transport chains

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  • Woxenius, Johan

Abstract

From the perspective of a transport service buyer and at the abstraction level of material flows, all transports travel directly from product supplier to product customer. In reality, however, the directness of transport services depends on factors such as geography, available infrastructure, temporary conditions, shippers' qualitative preferences, the economy of and practical possibilities for consolidation and access to return flows. This work examines directness by structuring and elaborating upon the causes of freight transport detours and briefly analysing their effect. The article also includes a discussion about the prospects of capturing directness in a KPI, and how such a measure can be designed, measured, monitored and used, as well as a brief analysis of the consequences of using it for monitoring and controlling supply chain performance.

Suggested Citation

  • Woxenius, Johan, 2012. "Directness as a key performance indicator for freight transport chains," Research in Transportation Economics, Elsevier, vol. 36(1), pages 63-72.
    • Handle: RePEc:eee:retrec:v:36:y:2012:i:1:p:63-72
    DOI: 10.1016/j.retrec.2012.03.007
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    2. Jung, Paul H. & Thill, Jean-Claude, 2022. "Sea-land interdependence and delimitation of port hinterland-foreland structures in the international transportation system," Journal of Transport Geography, Elsevier, vol. 99(C).
    3. Christian Finnsgård & Joakim Kalantari & Zeeshan Raza & Violeta Roso & Johan Woxenius, 2018. "Swedish shippers’ strategies for coping with slow-steaming in deep sea container shipping," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-24, December.
    4. György Kovács, 2023. "Development of New Mathematical Methods and Software Applications for More Efficient and Sustainable Road Freight Transportation," Sustainability, MDPI, vol. 15(23), pages 1-20, November.
    5. Vidal Vieira, José Geraldo & Fransoo, Jan C., 2015. "How logistics performance of freight operators is affected by urban freight distribution issues," Transport Policy, Elsevier, vol. 44(C), pages 37-47.
    6. Borna Debelic & Neven Grubisic & Sasa Milanovic, 2015. "The Cost And Non-Cost Conditionality Of Transport Corridor Logistics Performances As Determinant Of Port Competitiveness," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 15, pages 145-158.
    7. Arvidsson, Niklas, 2013. "The milk run revisited: A load factor paradox with economic and environmental implications for urban freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 56-62.
    8. Olsson, Jerry & Woxenius, Johan, 2014. "Localisation of freight consolidation centres serving small road hauliers in a wider urban area: barriers for more efficient freight deliveries in Gothenburg," Journal of Transport Geography, Elsevier, vol. 34(C), pages 25-33.
    9. Åse Jevinger & Carl Magnus Olsson, 2021. "Introducing an Intelligent Goods Service Framework," Logistics, MDPI, vol. 5(3), pages 1-20, August.
    10. Kumar, Aalok & Anbanandam, Ramesh, 2020. "Evaluating the interrelationships among inhibitors to intermodal railroad freight transport in emerging economies: A multi-stakeholder perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 559-581.
    11. Ottemöller, Ole & Friedrich, Hanno, 2019. "Modelling change in supply-chain-structures and its effect on freight transport demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 23-42.
    12. Vijayta Fulzele & Ravi Shankar, 2023. "Performance measurement of sustainable freight transportation: a consensus model and FERA approach," Annals of Operations Research, Springer, vol. 324(1), pages 501-542, May.
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