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Estimating the lead-time demand distribution when the daily demand is non-normal and autocorrelated Hon-Shiang LAU

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  • Wang, Min-Chiang

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  • Wang, Min-Chiang, 1987. "Estimating the lead-time demand distribution when the daily demand is non-normal and autocorrelated Hon-Shiang LAU," European Journal of Operational Research, Elsevier, vol. 29(1), pages 60-69, April.
    • Handle: RePEc:eee:ejores:v:29:y:1987:i:1:p:60-69
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    Cited by:

    1. Urban, Timothy L., 2005. "A periodic-review model with serially-correlated, inventory-level-dependent demand," International Journal of Production Economics, Elsevier, vol. 95(3), pages 287-295, March.
    2. 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.
    3. Takashi Shinzato, 2017. "Property Safety Stock Policy for Correlated Commodities Based on Probability Inequality," Papers 1701.02245, arXiv.org.
    4. Altay, Nezih & Litteral, Lewis A. & Rudisill, Frank, 2012. "Effects of correlation on intermittent demand forecasting and stock control," International Journal of Production Economics, Elsevier, vol. 135(1), pages 275-283.
    5. Bong‐Geun An & Stergios B. Fotopoulos & Min‐Chiang Wang, 1989. "Estimating the lead‐time demand distribution for an autocorrelated demand by the pearson system and a normal approximation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(4), pages 463-477, August.
    6. Mekhtiev, Mirza Arif, 2013. "Analytical evaluation of lead-time demand in polytree supply chains with uncertain demand, lead-time and inter-demand time," International Journal of Production Economics, Elsevier, vol. 145(1), pages 304-317.
    7. 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, Palgrave Macmillan;The OR Society, vol. 58(1), pages 52-61, January.

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