Digital Transformation in Logistics: Strategic Use of Mathematics for Supply Chain Optimization
Robert Akpalu
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Robert Akpalu: School of Education, Valley View University, Ghana
International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 1, 4155-4163
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.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:9:y:2025:i:1:p:4155-4163
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