Abstract
Demand forecasting for each item in a multi-line inventory system is considered. Demand patterns are assumed to satisfy an integrated movingaverage process, and exponential smoothing is employed in predicting demands. An empirical Bayes estimator for the smoothing parameter using pooled information from all realizations is proposed.
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© 1987 D. Reidel Publishing Company
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Van Hui, Y., Li, W.K. (1987). Predicting Demands in a Multi-Item Environment. In: MacNeill, I.B., Umphrey, G.J., Carter, R.A.L., McLeod, A.I., Ullah, A. (eds) Time Series and Econometric Modelling. The University of Western Ontario Series in Philosophy of Science, vol 36. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4790-0_7
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DOI: https://doi.org/10.1007/978-94-009-4790-0_7
Publisher Name: Springer, Dordrecht
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