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Author: | Businger, M. P. Read, R. R. |
Title: | Identification of demand patterns for selective processing: a case study. |
Journal: | Omega
1999 : APR, VOL. 27:2, p. 189-200 |
Index terms: | Forecasting techniques Box-Jenkins method Prediction theory Statistical methods |
Language: | eng |
Abstract: | The research begins with the development of several simple, robust and dimensionless time series features. These are used to predict the suitability of Box-Jenkins modeling. The predictive models are considered: classical regression and a modern expert-system statistical package, ModelQuest. Their strengths and weaknesses are compared. The result of either is a computationally simple means for determining with repair parts time series may benefit from the Box-Jenkins methodology for purposes of inventory management. |
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