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Prediction intervals for future demand of existing products with an observed demand of zero

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Listed author(s):
  • Lindsey, Matthew
  • Pavur, Robert
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    Abstract

    A proposed technique for forming reliable prediction intervals for the future demand rate of existing products with observed demand of zero is illustrated using methodology adapted from software reliability. By using the demand information from a group of products which includes slow-moving products, prediction intervals for the future demand rate of the products with an observed demand of zero are constructed. A simulation study examined the reliability of these prediction intervals across experimental conditions that included product group size, mean time between demand, and Type I error levels. The proposed prediction intervals had empirical Type I errors closer to their nominal values when there were a sufficient number of products with no sales and also with some sales.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(09)00036-X
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    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 119 (2009)
    Issue (Month): 1 (May)
    Pages: 75-89

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    Handle: RePEc:eee:proeco:v:119:y:2009:i:1:p:75-89
    Contact details of provider: Web page: http://www.elsevier.com/locate/ijpe

    Keywords: Intermittent demand Prediction intervals Simulation Poisson process;

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    1. Boylan, J.E. & Syntetos, A.A., 2007. "The accuracy of a Modified Croston procedure," International Journal of Production Economics, Elsevier, vol. 107(2), pages 511-517, June.
    2. Harwell, Michael R., 1991. "Using randomization tests when errors are unequally correlated," Computational Statistics & Data Analysis, Elsevier, vol. 11(1), pages 75-85, January.
    3. Porras, Eric & Dekker, Rommert, 2008. "An inventory control system for spare parts at a refinery: An empirical comparison of different re-order point methods," European Journal of Operational Research, Elsevier, vol. 184(1), pages 101-132, January.
    4. S. Illeris & G. Akehurst, 2002. "Introduction," The Service Industries Journal, Taylor & Francis Journals, vol. 22(1), pages 1-3, January.
    5. Altay, Nezih & Rudisill, Frank & Litteral, Lewis A., 2008. "Adapting Wright's modification of Holt's method to forecasting intermittent demand," International Journal of Production Economics, Elsevier, vol. 111(2), pages 389-408, February.
    6. Syntetos, A. A. & Boylan, J. E., 2001. "On the bias of intermittent demand estimates," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 457-466, May.
    7. Rob J. Hyndman & Lydia Shenstone, 2005. "Stochastic models underlying Croston's method for intermittent demand forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(6), pages 389-402.
    8. Dolgui, Alexandre & Pashkevich, Maksim, 2008. "Demand forecasting for multiple slow-moving items with short requests history and unequal demand variance," International Journal of Production Economics, Elsevier, vol. 112(2), pages 885-894, April.
    9. John A. Muckstadt & L. Joseph Thomas, 1980. "Are Multi-Echelon Inventory Methods Worth Implementing in Systems with Low-Demand-Rate Items?," Management Science, INFORMS, vol. 26(5), pages 483-494, May.
    10. Vereecke, Ann & Verstraeten, Peter, 1994. "An inventory management model for an inventory consisting of lumpy items, slow movers and fast movers," International Journal of Production Economics, Elsevier, vol. 35(1-3), pages 379-389, June.
    11. Willemain, Thomas R. & Smart, Charles N. & Shockor, Joseph H. & DeSautels, Philip A., 1994. "Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method," International Journal of Forecasting, Elsevier, vol. 10(4), pages 529-538, December.
    12. Willemain, Thomas R. & Smart, Charles N. & Schwarz, Henry F., 2004. "A new approach to forecasting intermittent demand for service parts inventories," International Journal of Forecasting, Elsevier, vol. 20(3), pages 375-387.
    13. Leven, Erik & Segerstedt, Anders, 2004. "Inventory control with a modified Croston procedure and Erlang distribution," International Journal of Production Economics, Elsevier, vol. 90(3), pages 361-367, August.
    14. Dekker, Mark & van Donselaar, Karel & Ouwehand, Pim, 2004. "How to use aggregation and combined forecasting to improve seasonal demand forecasts," International Journal of Production Economics, Elsevier, vol. 90(2), pages 151-167, July.
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