Journal of Enterprise and Business Intelligence


Improving Supply Chain and Logistics Through Automation



Journal of Enterprise and Business Intelligence

Received On : 31 August 2022

Revised On : 08 September 2022

Accepted On : 02 December 2022

Published On : 05 April 2023

Volume 03, Issue 02

Pages : 106-114


Abstract


The field of logistics is undergoing a transformative shift, marking the advent of a new age. The progression of digitalization and technologization facilitates the emergence of novel business models, enhanced operational efficiency, innovative planning strategies, and several other benefits. However, it is important to acknowledge the potential drawback of being overwhelmed amongst the rapid pace of advancements. The logistic operations automation and the subsequent creation of autonomous logistics systems are significant phenomena that have profound implications for the future execution and planning of logistics processes. This article seeks to add to the ongoing discourse and delve into the inquiry of how the development of automated and autonomous logistics systems should be strategically planned and executed. The current editorial establishes a framework by elucidating the practical domains in which automation is used and deliberating on the conceptual trajectory leading to the development of autonomous logistics systems. The following papers provide valuable insights into the latest research findings on the autonomization and automation of physical and informational logistics operations, with a strong emphasis on practical applications.


Keywords


Supply Chain Management, Logistics, Automation in Supply Chain and Logistics, Digital Transformation, Antecedents of Automation.


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Cite this article


Dong Cheng, “Improving Supply Chain and Logistics Through Automation”, Journal of Enterprise and Business Intelligence, vol.3, no.2, pp. 106-114, April 2023. doi: 10.53759/5181/JEBI202303011.


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© 2023 Dong Cheng. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.