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Original Articles

Estimation of Inventory Re-Order Levels Using the Bootstrap Statistical Procedure

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Pages 302-312 | Received 01 May 1987, Published online: 12 Jul 2010

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M. Zied Babai, John E. Boylan & Bahman Rostami-Tabar. (2022) Demand forecasting in supply chains: a review of aggregation and hierarchical approaches. International Journal of Production Research 60:1, pages 324-348.
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M. Hasni, M.S. Aguir, M.Z. Babai & Z. Jemai. (2019) Spare parts demand forecasting: a review on bootstrapping methods. International Journal of Production Research 57:15-16, pages 4791-4804.
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Boxiao Chen & Xiuli Chao. (2019) Parametric demand learning with limited price explorations in a backlog stochastic inventory system. IISE Transactions 51:6, pages 605-613.
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Jason M. Riley, Kevin Sweeney, Sriram Venkataraman & Richard Klein. (2018) How inventory management systems mistreat retail project quantity items and other bimodally distributed products. The International Review of Retail, Distribution and Consumer Research 28:3, pages 277-293.
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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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Alexandre Dolgui & Maksim Pashkevich. (2008) Extended beta-binomial model for demand forecasting of multiple slow-moving inventory items. International Journal of Systems Science 39:7, pages 713-726.
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Edward A. Silver. (2008) Inventory Management: An Overview, Canadian Publications, Practical Applications and Suggestions for Future Research. INFOR: Information Systems and Operational Research 46:1, pages 15-27.
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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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