Optimizing Logistics Operations Through Autonomous Vehicles: A Management Framework for Efficiency, Risk Control, and Sustainability
Abstract
planning and effective management approaches. This paper proposes a management framework that combines process optimization, human
machine collaboration, and risk management to guide the adoption of autonomous vehicles in logistics operations. Using case-based analysis
and industry data, the study identifies key benefitsincluding improved delivery accuracy, enhanced route optimization, and real-time datadriven decision-makingwhile addressing challenges such as regulatory constraints, cybersecurity risks, and workforce adaptation. The results suggest that the effective integration of AVs into logistics requires not only technological readiness but also a shift toward data-centered
decision management and cross-functional coordination. This research contributes to both management science and intelligent transportation
by offering strategic guidance for AV-enabled logistics transformation.
Keywords
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DOI: http://dx.doi.org/10.70711/aitr.v3i4.8191
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