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Case-Oriented Paper

An examination of the size of orders from customers, their characterisation and the implications for inventory control of slow moving items

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Pages 833-837 | Received 01 Jun 2001, Accepted 01 Mar 2003, Published online: 21 Dec 2017

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F R Johnston, E A Shale, S Kapoor, R True & A Sheth. (2011) Breadth of range and depth of stock: forecasting and inventory management at Euro Car Parts Ltd.. Journal of the Operational Research Society 62:3, pages 433-441.
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A A Syntetos, M Z Babai, Y Dallery & R Teunter. (2009) Periodic control of intermittent demand items: theory and empirical analysis. Journal of the Operational Research Society 60:5, pages 611-618.
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C Larsen & A Thorstenson. (2008) A comparison between the order and the volume fill rate for a base-stock inventory control system under a compound renewal demand process. Journal of the Operational Research Society 59:6, pages 798-804.
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E A Shale, J E Boylan & F R Johnston. (2006) Forecasting for intermittent demand: the estimation of an unbiased average. Journal of the Operational Research Society 57:5, pages 588-592.
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Konstantinos I. Nikolopoulos & Dimitrios D. Thomakos. 2019. Essentials of Business Analytics. Essentials of Business Analytics 381 420 .
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Marco Bijvank & Søren Glud Johansen. (2012) Periodic review lost-sales inventory models with compound Poisson demand and constant lead times of any length. European Journal of Operational Research 220:1, pages 106-114.
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Nezih Altay, Lewis A. Litteral & Frank Rudisill. (2012) Effects of correlation on intermittent demand forecasting and stock control. International Journal of Production Economics 135:1, pages 275-283.
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Ruud H. Teunter, Aris A. Syntetos & M. Zied Babai. (2011) Intermittent demand: Linking forecasting to inventory obsolescence. European Journal of Operational Research 214:3, pages 606-615.
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Bisheng Du & Christian Larsen. (2011) Base stock policies with degraded service to larger orders. International Journal of Production Economics 133:1, pages 326-333.
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Zhang Jiantong & Lv Biyu. (2009) Forecasting Intermittent Demand Based on Grey Theory. Forecasting Intermittent Demand Based on Grey Theory.
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J.E. Boylan & A.A. Syntetos. (2007) The accuracy of a Modified Croston procedure. International Journal of Production Economics 107:2, pages 511-517.
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Brian J. Carnahan, Saeed Maghsoodloo, Elizabeth A. Flynn & Kenneth N. Barker. (2006) Geometric probability distribution for modeling of error risk during prescription dispensing. American Journal of Health-System Pharmacy 63:11, pages 1056-1061.
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Bisheng Du & Christian Larsen. (2010) Base Stock Policies with Degraded Service to Larger Orders. SSRN Electronic Journal.
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