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Digital Transformation in Logistics: Strategic Use of Mathematics for Supply Chain Optimization

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  • Robert Akpalu

    (School of Education, Valley View University, Ghana)

Abstract

The logistics industry, as a cornerstone of global trade, is undergoing significant transformation through the integration of digital technologies. However, persistent challenges such as supply chain inefficiencies, high operational costs, and environmental concerns necessitate strategic optimization approaches. This study explores the synergistic application of digital tools and mathematical techniques, such as linear programming and predictive modeling, to optimize logistics operations. Using a Systematic Literature Review (SLR) approach, the research synthesizes findings from peer-reviewed journals and industry case studies. Key findings highlight how technologies like IoT, blockchain, and AI enhance supply chain transparency, decision-making, and sustainability. Practical implications emphasize scalable optimization frameworks and stakeholder collaboration to address adoption barriers and foster innovation. This study provides actionable insights for policymakers and industry leaders to align logistics practices with global sustainability goals, ensuring resilience and efficiency in an evolving market landscape.

Suggested Citation

  • Robert Akpalu, 2025. "Digital Transformation in Logistics: Strategic Use of Mathematics for Supply Chain Optimization," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(1), pages 4155-4163, January.
    • Handle: RePEc:bcp:journl:v:9:y:2025:i:1:p:4155-4163
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    References listed on IDEAS

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    1. Healy, Lance, 2022. "The digital transformation of logistics," Journal of Supply Chain Management, Logistics and Procurement, Henry Stewart Publications, vol. 4(4), pages 369-382, June.
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