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Toward a Modern Last-Mile Delivery: Consequences and Obstacles of Intelligent Technology

Shahryar Sorooshian, Shila Khademi Sharifabad, Mehrdad Parsaee, Ali Reza Afshari

发表年份
2022
引用次数
63
访问权限
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摘要

Last-mile delivery (LMD) is essential in supply chains, and providers of logistics services are aware that they must adapt to changing customer and society expectations, competition challenges, and modern technologies. In light of the importance of artificial intelligence (AI) in modern technologies, this article employed a narrative literature review to recognize impacts of AI-powered technologies that aid in optimizing the LMD component. For this study, two possible classes of technologies were considered: tangible technologies, such as robots, drones, and autonomous vehicles, and intangible technologies, such as decision support tools and operating systems. Thus, this article frames potential developments in modern LMD, taking into account the fact that technological advancement brings both opportunities and challenges. According to this literature review, the modern version of LMD is capable of providing services that are both more productive and more sustainable, thus satisfying demands for better services. Last but not least, another goal of this article was to look into the challenges that limit the benefits of modern LMDs. Finally, suggestions are provided as a resource for practitioners and policymakers working in the supply chain to improve performance.

关键词

Emerging technologiesSupply chainDroneComputer scienceLast mile (transportation)BusinessEngineering managementRisk analysis (engineering)Knowledge managementMarketing

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