S. Kediya, D. Singh, Janmejay V. Shukla, A. Nagdive
{"title":"Analytical Study of Factors Affecting IoT in SCM","authors":"S. Kediya, D. Singh, Janmejay V. Shukla, A. Nagdive","doi":"10.1109/iccica52458.2021.9697145","DOIUrl":null,"url":null,"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.","PeriodicalId":327193,"journal":{"name":"2021 International Conference on Computational Intelligence and Computing Applications (ICCICA)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computational Intelligence and Computing Applications (ICCICA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iccica52458.2021.9697145","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.