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The effect of (s, S) ordering policy on the supply chain

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  • Kelle, Peter
  • Milne, Alistair

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  • Kelle, Peter & Milne, Alistair, 1999. "The effect of (s, S) ordering policy on the supply chain," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 113-122, March.
    • Handle: RePEc:eee:proeco:v:59:y:1999:i:1-3:p:113-122
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    References listed on IDEAS

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    1. Lau, Hon-Shiang & Zhao, Long-Geng, 1993. "Optimal ordering policies with two suppliers when lead times and demands are all stochastic," European Journal of Operational Research, Elsevier, vol. 68(1), pages 120-133, July.
    2. Rossana, R J, 1993. "The Long-Run Implications of the Production Smoothing Model of Inventories: An Empirical Test," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 295-306, July-Sept.
    3. Alan S. Blinder, 1986. "Can the Production Smoothing Model of Inventory Behavior be Saved?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(3), pages 431-453.
    4. Blinder, Alan S & Maccini, Louis J, 1991. "The Resurgence of Inventory Research: What Have We Learned?," Journal of Economic Surveys, Wiley Blackwell, vol. 5(4), pages 291-328.
    5. Caballero, Ricardo J & Engel, Eduardo M R A, 1991. "Dynamic (S, s) Economies," Econometrica, Econometric Society, vol. 59(6), pages 1659-1686, November.
    6. Steven Nahmias & Stephen A. Smith, 1994. "Optimizing Inventory Levels in a Two-Echelon Retailer System with Partial Lost Sales," Management Science, INFORMS, vol. 40(5), pages 582-596, May.
    7. Richard Ehrhardt, 1979. "The Power Approximation for Computing (s, S) Inventory Policies," Management Science, INFORMS, vol. 25(8), pages 777-786, August.
    8. Caplin, Andrew S, 1985. "The Variability of Aggregate Demand with (S, s) Inventory Policies," Econometrica, Econometric Society, vol. 53(6), pages 1395-1409, November.
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    Cited by:

    1. Dobos, Imre, 2011. "The analysis of bullwhip effect in a HMMS-type supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 250-256, May.
    2. Ryu, Kwangyeol & Moon, Ilkyeong & Oh, Seungjin & Jung, Mooyoung, 2013. "A fractal echelon approach for inventory management in supply chain networks," International Journal of Production Economics, Elsevier, vol. 143(2), pages 316-326.
    3. Yan, Xi Steven & Robb, David J. & Silver, Edward A., 2009. "Inventory performance under pack size constraints and spatially-correlated demand," International Journal of Production Economics, Elsevier, vol. 117(2), pages 330-337, February.
    4. Wang, Shu-Jen & Liu, Shih-Fei & Wang, Wei-Ling, 2008. "The simulated impact of RFID-enabled supply chain on pull-based inventory replenishment in TFT-LCD industry," International Journal of Production Economics, Elsevier, vol. 112(2), pages 570-586, April.
    5. Li, Xiaoming, 2008. "Demand evolution in stochastic inventory systems: Riskiness increase," International Journal of Production Economics, Elsevier, vol. 116(2), pages 182-189, December.
    6. Mula, J. & Poler, R. & Garcia-Sabater, J.P. & Lario, F.C., 2006. "Models for production planning under uncertainty: A review," International Journal of Production Economics, Elsevier, vol. 103(1), pages 271-285, September.
    7. Ling Huang & Ya-LingWu & Chi-Bin Cheng, 2018. "Retailer’s Optimal Inventory Policies for Cross-Border E-Commerce," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 4(1), pages 37-44.
    8. Nyoman Pujawan, I, 2004. "The effect of lot sizing rules on order variability," European Journal of Operational Research, Elsevier, vol. 159(3), pages 617-635, December.
    9. Wang, Xun & Disney, Stephen M. & Ponte, Borja, 2023. "On the stationary stochastic response of an order-constrained inventory system," European Journal of Operational Research, Elsevier, vol. 304(2), pages 543-557.
    10. K. Devika & A. Jafarian & A. Hassanzadeh & R. Khodaverdi, 2016. "Optimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristics," Annals of Operations Research, Springer, vol. 242(2), pages 457-487, July.
    11. Wang, Xun & Disney, Stephen M., 2016. "The bullwhip effect: Progress, trends and directions," European Journal of Operational Research, Elsevier, vol. 250(3), pages 691-701.
    12. Kelle, Peter & Akbulut, Asli, 2005. "The role of ERP tools in supply chain information sharing, cooperation, and cost optimization," International Journal of Production Economics, Elsevier, vol. 93(1), pages 41-52, January.
    13. Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2002. "Inventory management in supply chains: a reinforcement learning approach," International Journal of Production Economics, Elsevier, vol. 78(2), pages 153-161, July.
    14. Jing Wu & Dan Zhang & Yang Yang & Gongshu Wang & Lijie Su, 2022. "Multi-Stage Multi-Product Production and Inventory Planning for Cold Rolling under Random Yield," Mathematics, MDPI, vol. 10(4), pages 1-21, February.
    15. Meixell, Mary J., 2005. "The impact of setup costs, commonality, and capacity on schedule stability: An exploratory study," International Journal of Production Economics, Elsevier, vol. 95(1), pages 95-107, January.
    16. Chandra, Charu & Grabis, Janis, 2005. "Application of multi-steps forecasting for restraining the bullwhip effect and improving inventory performance under autoregressive demand," European Journal of Operational Research, Elsevier, vol. 166(2), pages 337-350, October.
    17. Miragliotta, Giovanni, 2006. "Layers and mechanisms: A new taxonomy for the Bullwhip Effect," International Journal of Production Economics, Elsevier, vol. 104(2), pages 365-381, December.
    18. So, Kut C. & Zheng, Xiaona, 2003. "Impact of supplier's lead time and forecast demand updating on retailer's order quantity variability in a two-level supply chain," International Journal of Production Economics, Elsevier, vol. 86(2), pages 169-179, November.
    19. Kwak, Jin Kyung & Gavirneni, Srinagesh, 2011. "Retailer policy, uncertainty reduction, and supply chain performance," International Journal of Production Economics, Elsevier, vol. 132(2), pages 271-278, August.
    20. Thomas J. Sargent & John Stachurski, 2024. "Dynamic Programming: Finite States," Papers 2401.10473, arXiv.org.
    21. Luong, Huynh Trung, 2007. "Measure of bullwhip effect in supply chains with autoregressive demand process," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1086-1097, August.
    22. Junhai Ma & Xiaogang Ma, 2017. "Measure of the bullwhip effect considering the market competition between two retailers," International Journal of Production Research, Taylor & Francis Journals, vol. 55(2), pages 313-326, January.
    23. Li, Xiaoming & Sridharan, V., 2008. "Characterizing order processes of using (R,nQ) inventory policies in supply chains," Omega, Elsevier, vol. 36(6), pages 1096-1104, December.
    24. Noblesse, Ann M. & Boute, Robert N. & Lambrecht, Marc R. & Van Houdt, Benny, 2014. "Characterizing order processes of continuous review (s,S) and (r,nQ) policies," European Journal of Operational Research, Elsevier, vol. 236(2), pages 534-547.

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