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A multi-layer demand-responsive logistics control methodology for alleviating the bullwhip effect of supply chains

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  • Sheu, Jiuh-Biing

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  • Sheu, Jiuh-Biing, 2005. "A multi-layer demand-responsive logistics control methodology for alleviating the bullwhip effect of supply chains," European Journal of Operational Research, Elsevier, vol. 161(3), pages 797-811, March.
    • Handle: RePEc:eee:ejores:v:161:y:2005:i:3:p:797-811
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    References listed on IDEAS

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    1. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    2. Korpela, Jukka & Tuominen, Markku, 1996. "Inventory forecasting with a multiple criteria decision tool," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 159-168, August.
    3. Jiuh-Biing Sheu, 2002. "A Stochastic Optimal Control Approach to Real-time, Incident-Responsive Traffic Signal Control at Isolated Intersections," Transportation Science, INFORMS, vol. 36(4), pages 418-434, November.
    4. Naish, Howard F, 1994. "Production Smoothing in the Linear Quadratic Inventory Model," Economic Journal, Royal Economic Society, vol. 104(425), pages 864-875, July.
    5. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    6. Xu, Kefeng & Dong, Yan & Evers, Philip T., 2001. "Towards better coordination of the supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(1), pages 35-54, March.
    7. Kahn, James A, 1987. "Inventories and the Volatility of Production," American Economic Review, American Economic Association, vol. 77(4), pages 667-679, September.
    8. Sheu, Jiuh-Biing, 1999. "A stochastic modeling approach to dynamic prediction of section-wide inter-lane and intra-lane traffic variables using point detector data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(2), pages 79-100, February.
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    Cited by:

    1. Ertunga Özelkan & Churlzu Lim, 2008. "Conditions of reverse bullwhip effect in pricing for price-sensitive demand functions," Annals of Operations Research, Springer, vol. 164(1), pages 211-227, November.
    2. Gunasekaran, Angappa & Lai, Kee-hung & Edwin Cheng, T.C., 2008. "Responsive supply chain: A competitive strategy in a networked economy," Omega, Elsevier, vol. 36(4), pages 549-564, August.
    3. Kristianto, Yohanes & Helo, Petri & Jiao, Jianxin (Roger) & Sandhu, Maqsood, 2012. "Adaptive fuzzy vendor managed inventory control for mitigating the Bullwhip effect in supply chains," European Journal of Operational Research, Elsevier, vol. 216(2), pages 346-355.
    4. Enrique Holgado de Frutos & Juan R Trapero & Francisco Ramos, 2020. "A literature review on operational decisions applied to collaborative supply chains," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-28, March.
    5. Özelkan, Ertunga C. & Lim, Churlzu & Adnan, Ziaul Haq, 2018. "Conditions of reverse bullwhip effect in pricing under joint decision of replenishment and pricing," International Journal of Production Economics, Elsevier, vol. 200(C), pages 207-223.
    6. Özelkan, Ertunga C. & ÇakanyIldIrIm, Metin, 2009. "Reverse bullwhip effect in pricing," European Journal of Operational Research, Elsevier, vol. 192(1), pages 302-312, January.

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