Title of article :
DEMAND FORECASTING WITHOF USING TIME SERIES MODELS IN TEXTILE DYEING-FINISHING MILLS
Author/Authors :
SABIR, Emel Ceyhun Çukurova University - Department of Textile Engineering, Turkey , BATUK, Esma Çukurova University - Department of Textile Engineering, Turkey
Abstract :
In this study, the most suitable demand forecasting system is sought by Time Series Models in textile dyeing-finishing mills. This includes Basic Exponential Smoothing Method, Trend Corrected Exponential Smoothing Method and Winter’s Models. The study was performed on real data obtained from a chosen textile mill. And, demand was concluded to change mainly with season in Demand forecasting activities of Dyeing-Finishing Mills, but trend corrected demand forecasting method could also be valid for some product groups. Basic Exponential Smoothing method was concluded an unsuitable demand forecasting method.
Keywords :
Demand forecasting , Textile , Dyeing , Finishing Mill , Time Series Models , Production Planning
Journal title :
Journal Of Textile and Apparel
Journal title :
Journal Of Textile and Apparel