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Special Issue Paper

Forecasting for inventory planning: a 50-year review

, &
Pages S149-S160 | Received 01 May 2008, Accepted 01 Sep 2008, Published online: 21 Dec 2017

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Wenbin Wang & Aris A. Syntetos. (2011) Spare parts demand: Linking forecasting to equipment maintenance. Transportation Research Part E: Logistics and Transportation Review 47:6, pages 1194-1209.
Crossref
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Aris A. Syntetos & John E. Boylan. (2010) On the variance of intermittent demand estimates. International Journal of Production Economics 128:2, pages 546-555.
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Crossref
Mitchell. (2010) On Replenishing Items with Seasonal Intermittent Demand. American Journal of Economics and Business Administration 2:1, pages 90-102.
Crossref
Xuping Wang, Yan Shi, Junhu Ruan & Hongyan Shang. 2010. Advances in Intelligent Decision Technologies. Advances in Intelligent Decision Technologies 215 225 .
Sarah Van der Auweraer, Robert N. Boute & Aris Syntetos. (2017) Forecasting Spare Part Demand with Installed Base Information: A Review. SSRN Electronic Journal.
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