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Theoretical Paper

Selecting the best periodic inventory control and demand forecasting methods for low demand items

&
Pages 700-713 | Received 01 Aug 1995, Accepted 01 Jan 1997, Published online: 20 Dec 2017

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A A Syntetos, J E Boylan & S M Disney. (2009) Forecasting for inventory planning: a 50-year review. Journal of the Operational Research Society 60:sup1, pages S149-S160.
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R H Teunter & L Duncan. (2009) Forecasting intermittent demand: a comparative study. Journal of the Operational Research Society 60:3, pages 321-329.
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Dean C. Chatfield & Jack C. Hayya. (2007) All-zero forecasts for lumpy demand: a factorial study. International Journal of Production Research 45:4, pages 935-950.
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Z S Hua, B Zhang, J Yang & D S Tan. (2007) A new approach of forecasting intermittent demand for spare parts inventories in the process industries. Journal of the Operational Research Society 58:1, pages 52-61.
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A H C Eaves & B G Kingsman. (2004) Forecasting for the ordering and stock-holding of spare parts. Journal of the Operational Research Society 55:4, pages 431-437.
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F R Johnston, J E Boylan & E A Shale. (2003) An examination of the size of orders from customers, their characterisation and the implications for inventory control of slow moving items. Journal of the Operational Research Society 54:8, pages 833-837.
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