UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 7
July-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2207565


Registration ID:
500375

Page Number

f524-f535

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Title

Study on IoT & AI for Smart Warehouse Management for Green Supply Chain Management

Abstract

In linking the chain partners in supply chain management warehouse is playing a major role in that. Now a days it has become a part and parcel for making efficient utilization for resources at efficient pace. Technology has randomly shaping the fulfillment by providing tech support in every aspect by using various tech enabled gadgets such as Radio Frequency (RF), scanner etc. For efficient monitoring, tracking and controlling the warehouse operations, traditional means are not enough to meet the requirements. So various emerging technologies has been deployed for the same in the ware house management for proper monitoring and controlling such as IOT. Industry 4.0 now has been taken by 4.2 It help the users of the organization to manage their stock inventory and transportations in a very effective way that will be helpful enough for providing enough information useful for the organization, as well as providing various heuristic technique that will be helpful enough to cope the system contents. . To achieve more monitor and controlling the operations of ware house in real time by ware house manager a proposed frame work has been demonstrated to overcome lagging in supply chain management. A review of AI & IoT implementation has been presented in this paper.

Key Words

Artificial Intelligence, Internet of things, supply chain management, smart ware house management, Radio Frequency

Cite This Article

"Study on IoT & AI for Smart Warehouse Management for Green Supply Chain Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.f524-f535, July-2022, Available :http://www.jetir.org/papers/JETIR2207565.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Study on IoT & AI for Smart Warehouse Management for Green Supply Chain Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppf524-f535, July-2022, Available at : http://www.jetir.org/papers/JETIR2207565.pdf

Publication Details

Published Paper ID: JETIR2207565
Registration ID: 500375
Published In: Volume 9 | Issue 7 | Year July-2022
DOI (Digital Object Identifier):
Page No: f524-f535
Country: Ranchi, Jharkhand, India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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