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A dynamic joint replenishment policy with auto-correlated demand

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  • Lee, Loo Hay
  • Chew, Ek Peng

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  • Lee, Loo Hay & Chew, Ek Peng, 2005. "A dynamic joint replenishment policy with auto-correlated demand," European Journal of Operational Research, Elsevier, vol. 165(3), pages 729-747, September.
    • Handle: RePEc:eee:ejores:v:165:y:2005:i:3:p:729-747
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    References listed on IDEAS

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    1. Donald M. Simmons, 1972. "Optimal Inventory Policies under a Hierarchy of Setup Costs," Management Science, INFORMS, vol. 18(10), pages 591-599, June.
    2. Edward Ignall, 1969. "Optimal Continuous Review Policies for Two Product Inventory Systems with Joint Setup Costs," Management Science, INFORMS, vol. 15(5), pages 278-283, January.
    3. Gok, Yasemin & Satir, Ahmet & Goyal, Suresh, 1988. "Some findings on joint replenishment of items with stochastic demand and backordering," Engineering Costs and Production Economics, Elsevier, vol. 13(2), pages 125-133, January.
    4. Chung-Mei Ho Chern, 1974. "A Multi Product Joint Ordering Model with Dependent Setup Cost," Management Science, INFORMS, vol. 20(7), pages 1081-1091, March.
    5. Melchiors, Philip, 2002. "Calculating can-order policies for the joint replenishment problem by the compensation approach," European Journal of Operational Research, Elsevier, vol. 141(3), pages 587-595, September.
    6. Joseph L. Balintfy, 1964. "On a Basic Class of Multi-Item Inventory Problems," Management Science, INFORMS, vol. 10(2), pages 287-297, January.
    7. Derek R. Atkins & Paul O. Iyogun, 1988. "Periodic Versus "Can-Order" Policies for Coordinated Multi-Item Inventory Systems," Management Science, INFORMS, vol. 34(6), pages 791-796, June.
    8. S. K. Goyal, 1974. "Determination of Optimum Packaging Frequency of Items Jointly Replenished," Management Science, INFORMS, vol. 21(4), pages 436-443, December.
    9. Goyal, Suresh K. & Satir, Ahmet T., 1989. "Joint replenishment inventory control: Deterministic and stochastic models," European Journal of Operational Research, Elsevier, vol. 38(1), pages 2-13, January.
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    Cited by:

    1. Nasr, Walid W. & Maddah, Bacel, 2015. "Continuous (s, S) policy with MMPP correlated demand," European Journal of Operational Research, Elsevier, vol. 246(3), pages 874-885.
    2. Saeed Poormoaied, 2022. "Inventory decision in a periodic review inventory model with two complementary products," Annals of Operations Research, Springer, vol. 315(2), pages 1937-1970, August.
    3. Young Hyeon Yang & Jong Soo Kim, 2020. "An adaptive joint replenishment policy for items with non-stationary demands," Operational Research, Springer, vol. 20(3), pages 1665-1684, September.
    4. Khouja, Moutaz & Goyal, Suresh, 2008. "A review of the joint replenishment problem literature: 1989-2005," European Journal of Operational Research, Elsevier, vol. 186(1), pages 1-16, April.
    5. Walid W. Nasr, 2022. "Inventory systems with stochastic and batch demand: computational approaches," Annals of Operations Research, Springer, vol. 309(1), pages 163-187, February.
    6. Ata Allah Taleizadeh & Masoumeh Sadat Babaei & Seyed Taghi Akhavan Niaki & Mahsa Noori-daryan, 2020. "Bundle pricing and inventory decisions on complementary products," Operational Research, Springer, vol. 20(2), pages 517-541, June.
    7. Hamister, James W. & Suresh, Nallan C., 2008. "The impact of pricing policy on sales variability in a supermarket retail context," International Journal of Production Economics, Elsevier, vol. 111(2), pages 441-455, February.
    8. Wang, Lin & He, Jing & Wu, Desheng & Zeng, Yu-Rong, 2012. "A novel differential evolution algorithm for joint replenishment problem under interdependence and its application," International Journal of Production Economics, Elsevier, vol. 135(1), pages 190-198.

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