Intermittent Demand Forecasting Using LSTM With Single and Multiple Aggregation

Intermittent Demand Forecasting Using LSTM With Single and Multiple Aggregation

Intermittent demand data is data with infrequent demand with varying number of demand sizes. Intermittent demand forecasting is useful for providing inventory control decisions. It is very important to produce accurate forecasts. Based on previous research, deep learning models, especially MLP and R...

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Bibliographic Details
Main Authors: Fityan Azizi, Wahyu Catur Wibowo
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2022-11-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
intermittent demand
lstm
mapa
adida
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/4435

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