Resumen

HOFFMAN, Alwyn; VAN RENSBURG, Jacob  y  GRATER, Sonja. Efficient trade lane selection: A total economic cost perspective on shipping lines. JTSCM [online]. 2026, vol.20, pp.1-13. ISSN 2310-8789.  https://doi.org/10.4102/jtscm.v20i0.1272.

BACKGROUND: Efficient logistics performance is vital for global trade, yet traditional cost assessments often overlook the economic impact of time delay variability. Especially in maritime logistics, these delays can generate substantial indirect costs. This study addresses a critical gap by integrating time-related uncertainty, which contains the implicit cost aspects, into logistics cost modelling to support better decision-making in trade lane selection OBJECTIVES: The study aims to quantify both direct and indirect logistics costs arising from time delays and variability across international shipping routes. Focusing on South Africa's import trade, it introduces a replicable total economic cost (TEC) model that enables cargo owners and freight forwarders to optimise route and shipping line choices based on holistic cost performance METHOD: Using a dataset of 5374 import shipments (2017-2023) from a South African freight forwarder, the study segments total logistics chains into ocean, port and land legs. Time delays and their variability are analysed per segment. Direct and indirect costs - such as the cost of capital tied up in inventory, stock shrinkage and lost sales - are modelled using percentile-based TEC calculations across buffer stock strategies RESULTS: The ocean leg was the largest contributor to time delays and cost variability. Shipping lines with lower delay variability enabled significantly lower TEC values and smaller buffer stocks. The TEC model revealed that variability-driven costs often exceeded direct logistics expenses CONCLUSION: Minimising delay variability, and not just transport time, can significantly reduce logistics costs. The TEC model supports better strategic alignment of shipping line and trade lane choices CONTRIBUTION: This study provides a practical, data-driven methodology for quantifying total logistics cost under uncertainty and enabling optimal choices of trade lanes and service providers, addressing a key challenge in global supply chain optimisation

Palabras clave : trade lane; logistics; total economic cost; time variability; statistical distributions.

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