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Optimizing Supply Chain Operations with Unmanned Aerial Vehicles

  • Haoyang Li,
  • Volodymyr Kharchenko

摘要

This paper delves into optimizing supply chain operations, with a special focus on the benefits and efficiencies of drone delivery systems. It highlights how drones can bypass congested road traffic and consume less energy compared to traditional transportation methods, thereby increasing delivery speeds and reducing operational costs. The paper provides comprehensive insights into fuel efficiency metrics and energy conservation strategies in transportation. Additionally, it discusses detailed mathematical models and optimization tasks that are designed to enhance the efficiency of these systems. The integration of GPS technology is also explored, emphasizing its role in improving the accuracy of drone deliveries. Furthermore, the paper touches on the use of experimental data analysis for evaluating system performance, with a particular focus on unmanned aerial vehicles (UAVs). This analysis is crucial for understanding and refining the capabilities of these systems. The paper concludes by highlighting the significant potential for cost savings and increased profitability for organizations that adopt innovative UAV technology in their supply chain management strategies, marking a shift towards more technologically advanced, efficient, and sustainable operations.