Enhancing Supply Chain Performance through Autonomous Vehicle Integration in Logistics Operations

Tolufashe Stephen Afolabi, Ojekunle Joel Ademola

Abstract


The advent of autonomous vehicles (AVs) is poised to revolutionize supply chain efficiency by streamlining operations, reducing costs, and enhancing delivery times. This seminar paper examines the transformative potential of AVs in logistics, focusing on their integration into supply chain networks. It explores how technological advancements, including machine learning, sensor technologies, and vehicle-to-infrastructure communication, enable AVs to optimize route planning, reduce fuel consumption, and minimize human errors. Furthermore, the paper delves into regulatory challenges that could influence the deployment of AVs, including safety standards, liability frameworks, and data privacy concerns. The socioeconomic implications, particularly the potential displacement of jobs in the transport sector and the emergence of new roles in AV maintenance and oversight, are also analyzed. Through case studies and theoretical models, this research highlights the dual challenges and opportunities presented by AVs, providing insights for policymakers, industry leaders, and supply chain managers aiming to leverage this technology to achieve sustainable and efficient logistics systems. 


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References


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