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Demand forecasting application with regression and artificial intelligence methods in a construction machinery company

A. Aktepe,Emre Yanık,S. Ersöz

2021 · DOI: 10.1007/s10845-021-01737-8
Journal of Intelligent Manufacturing · 48 Citations

TLDR

The aim of the study is to forecast the number of spare parts requested in the future period by the customer as close as possible as well as possible and it was found that support vector regression forecasting produced better results in comparison to artificial neural network.