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October 23, 2025European Journal of logistics Purchasing and Supply Chain ManagementOpen Access

Project Scheduling, Resource Allocation, and AI-Based Optimization as Drivers of Last-Mile Logistics Efficiency in Nigeria

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Authors

GDGodspower Saro DikeEEEndurance Ikechi Eke

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Overview

This analysis uncovers how project scheduling and resource allocation impact logistics performance in Nigeria, suggesting AI optimization enhances efficiency.

Key Points

  • Logistics performance is significantly predicted by project scheduling and AI optimization, improving efficiency.
  • Last-mile logistics remains challenged by infrastructure limits and manual scheduling practices in Nigeria.
  • Analysis employs regression and structural equation modeling techniques, highlighting crucial optimization strategies.
  • Integration of these methods may lead to improved operational accuracy and promote environmental balance in logistics.

Cite This Study

Dike et al. (2025) studied this question.

synapsesocial.com/papers/68fa1210f9f8b44535bfcd52https://doi.org/10.37745/ejlpscm.2013/vol13n193110
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