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

• 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/25245/1/Compare%20the%20forecasting%20method%20of%20artificial%20neural.pdf; http://umpir.ump.edu.my/id/eprint/25245/; http://journal.ump.edu.my/jmes/article/view/1218; https://doi.org/10.15282/jmes.13.2.2019.04.0401

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...