UGC Approved Journal no 63975(19)

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

Volume 8 Issue 8
August-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2108447


Registration ID:
314267

Page Number

d596-d608

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Title

Optimization of Traditional Warehouse Management System using Artificial Intelligence and Machine Learning

Abstract

Warehouses are an essential component of any supply chain. The efficient management of the warehouse is critical for the smooth and timely functioning of the supply chain. If it is not managed properly problems such as high lead time and high operational cost occur. To achieve the best results in warehouse management system of SMEs, new technologies are tested and brought into use in the industries. Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. Technologies developed by ML and AI can be very beneficial in ease of working of a traditional warehouse by employing intelligent robots and using AI algorithms to improve the time complexity of the warehouse. AI is going to be the next big thing at the international level and upcoming industries have promised exponential growth in industry using AI. In this paper we would help expand our knowledge in the application of AI and ML in Smart Warehouse Management System which will help us reduce lead time and operational cost in SMEs. This paper was developed during the COVID 19 pandemic. So, the physical application was not carried out by the authors and they resorted to the simulation model.

Key Words

Industry 4.0; industrial internet of things; Warehouse Management; Artificial Intelligence; Machine Learning; Supply Chain Management.

Cite This Article

"Optimization of Traditional Warehouse Management System using Artificial Intelligence and Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.d596-d608, August-2021, Available :http://www.jetir.org/papers/JETIR2108447.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

"Optimization of Traditional Warehouse Management System using Artificial Intelligence and Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppd596-d608, August-2021, Available at : http://www.jetir.org/papers/JETIR2108447.pdf

Publication Details

Published Paper ID: JETIR2108447
Registration ID: 314267
Published In: Volume 8 | Issue 8 | Year August-2021
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.27959
Page No: d596-d608
Country: Mumbai, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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