NDLI: Demand Forecasting with Five Parameter Exponential Smoothing

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Demand Forecasting with Five Parameter Exponential Smoothing

Content Provider	Scilit
Author	Yuniaristanto Ratnasari, S. Zakaria, R.
Copyright Year	2019
Description	Journal: Iop Conference Series: Materials Science and Engineering Changes in technology has affected many aspects on economic development. One of them is Newspaper Industry. Reports indicate that globally the newspaper is passing through its hardest time ever. Therefore, newspaper industry need to be more creative in order to be able to deal with change and maintain its existence. In supply chain management newspaper industry, forecasting is the most important part to predict the future demand, minimize waste of product, scheduling production, optimize inventory level and resources. The exponential smoothing methods are simple but the best approach and popular methods used for forecasting. This study aimed to implement five parameter exponential smoothing to predict number of newspaper demand in the future with various method to get the best forecast result. The perfomance of method is evaluated using a newspaper demand daily time series. MSD and MSE used to determining and selecting the best forecasting method. The result show that additive Holt winters method with damped trend (DAHWM) is suitable for demand forecasting in newspaper industry.
Related Links	https://iopscience.iop.org/article/10.1088/1757-899X/495/1/012014/pdf
ISSN	17578981
e-ISSN	1757899X
DOI	10.1088/1757-899x/495/1/012014
Journal	Iop Conference Series: Materials Science and Engineering
Issue Number	1
Volume Number	495
Language	English
Publisher	IOP Publishing
Publisher Date	2019-06-07
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Materials Science and Engineering Characterization and Testing of Materials Exponential Smoothing Newspaper Industry Newspaper Demand Future Demand
Content Type	Text
Resource Type	Article

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