Analytical Study of Factors Affecting IoT in SCM

S. Kediya, D. Singh, Janmejay V. Shukla, A. Nagdive
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引用次数: 2

Abstract

This paper advocates employing IoT-based AI programming to integrate technology into industries' supply chain management and logistics. It emphasizes the importance of doing a thorough analysis of supply chain management and logistics strategy. The paper is aimed at facilitating a strategic change toward client-centric supply chain management strategies by enabling enterprises to engage in novel supply chain management and logistics practices based on the Internet of Things to meet industry requirements. The paper is a novel technique that provides businesses with valuable tools for satisfying a bigger client base through the use of new IoT technologies and some components of traditional supply chain management and logistics. The paper provides individuals, businesses, organizations, and researchers with Logistics and Supply Chain Management strategies that ensure maximum efficiency in all aspects of the handling of raw materials, component parts, and finished goods as they move from the manufacturing center to the final consumer. The paper's primary benefits will be cost savings, increased profitability, and the ability for enterprises to gain a competitive edge.
供应链中物联网影响因素的分析研究
本文主张采用基于物联网的人工智能编程,将技术融入行业的供应链管理和物流。它强调了对供应链管理和物流战略进行深入分析的重要性。本文旨在通过使企业能够从事基于物联网的新型供应链管理和物流实践,以满足行业需求,从而促进向以客户为中心的供应链管理战略的战略转变。该论文是一种新颖的技术,为企业提供了有价值的工具,通过使用新的物联网技术和传统供应链管理和物流的一些组件来满足更大的客户群。本文为个人、企业、组织和研究人员提供物流和供应链管理策略,以确保从制造中心到最终消费者的原材料、零部件和成品处理的各个方面的最高效率。纸张的主要好处将是节省成本,增加盈利能力,以及企业获得竞争优势的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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