Compare the forecasting method of artificial neural network and support vector regression model to measure the bullwhip effect in supply chain

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Compare the forecasting method of artificial neural network and support vector regression model to measure the bullwhip effect in supply chain

The objective of this study was to compare the Bullwhip Effect (BWE) in the supply chain through two methods and to determine the inventory policy for the uncertainty demand. It would be useful to determine the best forecasting method to predict the certain condition. The two methods are Artificial...

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Bibliographic Details
Main Authors:	Fradinata, E., Suthummanon, S., Suntiamorntut, W., M. M., Noor
Format:	Article
Language:	English
Published:	Faculty Mechanical Engineering, UMP 2019
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/25245/ http://umpir.ump.edu.my/id/eprint/25245/1/Compare%20the%20forecasting%20method%20of%20artificial%20neural.pdf

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