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Original Articles

‘Bullwhip’ and ‘backlash’ in supply pipelines

, &
Pages 6477-6497 | Received 28 Jan 2008, Accepted 22 May 2008, Published online: 13 Oct 2009

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (9)

Florian Klug. (2016) Analysing bullwhip and backlash effects in supply chains with phase space trajectories. International Journal of Production Research 54:13, pages 3906-3926.
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Matloub Hussain, Mehmood Khan & Hussein Sabir. (2016) Analysis of capacity constraints on the backlog bullwhip effect in the two-tier supply chain: a Taguchi approach. International Journal of Logistics Research and Applications 19:1, pages 41-61.
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V.L.M. Spiegler, A.T. Potter, M.M. Naim & D.R. Towill. (2016) The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain. International Journal of Production Research 54:1, pages 265-286.
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V.L.M. Spiegler & M.M. Naim. (2014) The impact of freight transport capacity limitations on supply chain dynamics. International Journal of Logistics Research and Applications 17:1, pages 64-88.
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Whan-Seon Kim. (2013) A supply chain contract with flexibility as a risk-sharing mechanism for demand forecasting. International Journal of Systems Science 44:6, pages 1134-1149.
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Florian Klug. (2013) The internal bullwhip effect in car manufacturing. International Journal of Production Research 51:1, pages 303-322.
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Yongchang Wei, Hongwei Wang & Chao Qi. (2013) On the stability and bullwhip effect of a production and inventory control system. International Journal of Production Research 51:1, pages 154-171.
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Virginia L. M. Spiegler, Mohamed M. Naim & Joakim Wikner. (2012) A control engineering approach to the assessment of supply chain resilience. International Journal of Production Research 50:21, pages 6162-6187.
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Matloub Hussain & Hussein Saber. (2012) Exploring the bullwhip effect using simulation and Taguchi experimental design. International Journal of Logistics Research and Applications 15:4, pages 231-249.
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Articles from other publishers (17)

Florian Klug. (2021) Modelling oscillations in the supply chain: the case of a just-in-sequence supply process from the automotive industry. Journal of Business Economics 92:1, pages 85-113.
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Lina Tang, Taho Yang, Yiliu Tu & Yizhong Ma. (2020) Supply chain information sharing under consideration of bullwhip effect and system robustness. Flexible Services and Manufacturing Journal 33:2, pages 337-380.
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A.V. Thomas & Biswajit Mahanty. (2019) Interrelationship among resilience, robustness, and bullwhip effect in an inventory and order based production control system. Kybernetes 49:3, pages 732-752.
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Mehdi Poornikoo & Muhammad Azeem Qureshi. (2019) System dynamics modeling with fuzzy logic application to mitigate the bullwhip effect in supply chains. Journal of Modelling in Management 14:3, pages 610-627.
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Joakim Wikner, Mohamed M. Naim, Virginia L.M. Spiegler & Junyi Lin. (2017) IOBPCS based models and decoupling thinking. International Journal of Production Economics 194, pages 153-166.
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J. Lin, M.M. Naim, L. Purvis & J. Gosling. (2017) The extension and exploitation of the inventory and order based production control system archetype from 1982 to 2015. International Journal of Production Economics 194, pages 135-152.
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Virginia L.M. Spiegler & Mohamed M. Naim. (2017) Investigating sustained oscillations in nonlinear production and inventory control models. European Journal of Operational Research 261:2, pages 572-583.
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Vinaya Shukla & Mohamed Naim. (2017) Detecting disturbances in supply chains: the case of capacity constraints. The International Journal of Logistics Management 28:2, pages 398-416.
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Virginia L.M. Spiegler, Mohamed M. Naim, Denis R. Towill & Joakim Wikner. (2016) A technique to develop simplified and linearised models of complex dynamic supply chain systems. European Journal of Operational Research 251:3, pages 888-903.
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Vinaya Shukla & Mohamed M Naim. (2015) Rogue seasonality in supply chains: an investigation and a measurement approach. Journal of Manufacturing Technology Management 26:3, pages 364-389.
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V. Madhusudanan Pillai & T. Chinna Pamulety. (2013) Impact of Backorder on Supply Chain Performance – an Experimental Study. IFAC Proceedings Volumes 46:9, pages 1932-1937.
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Juan R. Trapero, N. Kourentzes & R. Fildes. (2012) Impact of information exchange on supplier forecasting performance. Omega 40:6, pages 738-747.
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Matloub Hussain, Paul R. Drake & Dong Myung Lee. (2012) Quantifying the impact of a supply chain's design parameters on the bullwhip effect using simulation and Taguchi design of experiments. International Journal of Physical Distribution & Logistics Management 42:10, pages 947-968.
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Vinaya Shukla, Mohamed M. Naim & Nina F. Thornhill. (2012) Rogue seasonality detection in supply chains. International Journal of Production Economics 138:2, pages 254-272.
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K. Agyapong-Kodua, R. H. Weston & S. Ratchev. (2012) The Integrated Use of Enterprise and System Dynamics Modelling Techniques in Support of Business Decisions. Advances in Decision Sciences 2012, pages 1-25.
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Matloub Hussain & Paul R. Drake. (2011) Analysis of the bullwhip effect with order batching in multi‐echelon supply chains. International Journal of Physical Distribution & Logistics Management 41:10, pages 972-990.
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Matloub Hussain & Paul R. Drake. (2011) Analysis of the bullwhip effect with order batching in multi‐echelon supply chains. International Journal of Physical Distribution & Logistics Management 41:8, pages 797-814.
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