IoT-Based Smart Logistics Model to Enhance Supply Chain

Shanmugam, Thirumurugan, Sadiq, Mohamed Abdul Karim and Velayutham, Kamalavelu (2023) IoT-Based Smart Logistics Model to Enhance Supply Chain. In: Applied Systemic Studies. Springer, pp. 168-177. ISBN 978-3-031-27469-5

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Official URL: https://doi.org/10.1007/978-3-031-27470-1_16

Abstract

In general, the demand for goods and the logistics in moving them remained unabated though several restrictions were imposed on travel during the recent pandemic. There is an increasing demand for movement of products available in global markets to local ones. A distribution chain is a network of individuals and organizations involved in creating, selling and distributing raw materials or products, from the manufacturer to the supplier and finally to the end users. At times, it is challenging to get the goods in one place promptly and transit them off from one place to another without any damage. An improved logistical manipulation method is used in this paper. The distribution chain management using IoT in the logistics is the use of information technology to enable a company to manage the supply chain more efficiently and effectively. While the demand for consumption in these modern times has reached extreme limits, supply chain management using IoT allows companies to achieve the best competitive standards. We propose a novel IoT-based smart logistics model and present the comparative results with increasing number of operations.


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