UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 9
September-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFH06054


Registration ID:
318819

Page Number

318-323

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Title

Application of Machine Learning For Supply Chain

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Abstract

Full supply chain collaboration is a goal that the participating companies should strive towards new business. However, a number of obstacles stand in the way of true progress in this area. As a result, in the lack of complete information about other participants' desire, participants must predict their own demand. We look at how sophisticated machine learning techniques like neural networks, recurrent neural networks, and support vector machines may be used to anticipate skewed demand at the end of a supply chain in this article (bullwhip effect). These approaches are compared to more classic methods such as naive forecasting, trend, moving average, and linear regression. For our studies, we employ two data sets: one from a simulated supply chain, and another from genuine Canadian Foundries orders. Our findings imply that while recurrent neural networks and support vector machines outperform the regression model in terms of predicting accuracy, they are not statistically substantially superior.

Key Words

Image Processing, Machine Learning, Neural Networks, Product, Supply Chain.

Cite This Article

"Application of Machine Learning For Supply Chain", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.318-323, September 2018, Available :http://www.jetir.org/papers/JETIRFH06054.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

"Application of Machine Learning For Supply Chain", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp318-323, September 2018, Available at : http://www.jetir.org/papers/JETIRFH06054.pdf

Publication Details

Published Paper ID: JETIRFH06054
Registration ID: 318819
Published In: Volume 5 | Issue 9 | Year September-2018
DOI (Digital Object Identifier):
Page No: 318-323
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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