DocumentCode :
375253
Title :
Lumpy demand forecasting using neural networks
Author :
Luna, Luis F. ; Gutierrez, Rafael ; Quintana, Rolando
Author_Institution :
Dept. of Mech. & Ind. Eng., Texas Univ., El Paso, TX, USA
Volume :
1
fYear :
2001
fDate :
2001
Abstract :
Summary form only given. Forecasting is the statement about the unknown results or outputs of events that will occur at a specific time in the future. To enhance the organizational competitive advantage in a constantly fluctuating environment, an organization´s management must make the correct decision on a timely basis depending on the information available. This study presents an application of neural network methods for forecasting three different items that exhibit lumpiness in their trend pattern. Using sixty periods of simulated data for each time series, forecasts were prepared for the next thirteen periods
Keywords :
commerce; management; neural nets; time series; constantly fluctuating environment; lumpy demand forecasting; management decisions; neural networks; organizational competitive advantage; time series; trend pattern; Backpropagation; Demand forecasting; Discrete event simulation; Environmental management; Industrial engineering; Laboratories; Logistics; Neural networks; Predictive models; Production;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of Engineering and Technology, 2001. PICMET '01. Portland International Conference on
Conference_Location :
Portland, OR
Print_ISBN :
1-890843-06-7
Type :
conf
DOI :
10.1109/PICMET.2001.951931
Filename :
951931
Link To Document :
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