Bullwhip Effect: a Brief Review
(*) Corresponding author
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)
This paper deals with an extensive literature review on bullwhip effect in the current scenario. Bullwhip effect has become an important area of research in supply chain management. A literature review to understand process of bullwhip effect, its sources and measures along with risk associated with, have been undertaken. Procedures for reducing bullwhip effect have been also discussed in a supply chain configuration for collaboration. Bullwhip effect will be an important parameter towards the success of retail houses. In order to deal with the issue different sources of bullwhip effect are being identified. These sources are demand signal processing, rationing game, order batching and price fluctuation. Technique for benchmarking this effect is also being explored.
Copyright © 2015 Praise Worthy Prize - All rights reserved.
Andel T. (1996) ‘Manage Inventory Own Information’, Transport and Distribution, Vol. 37, No. 5, pp 54-58.
Baljko J.L., 1999, Experts Warns Of Bullwhip Effect, Electronic Buyers Notice No 1170, 26th July.
Cachon Gerald P., 2005, In Search Of The Bullwhip Effect, Supply Chain Management: An International Journal, pp 7-9
Cachon, G. and Fisher, M. (2000) Supply chain inventory management and the value of shared information, Management Science, Vol. 46, No. 8, p. 1032 - 1048.
Carlson Christer and Fuller Robert, 1999-2000, Soft Computing & Bullwhip Effect. Economics & Complexity, Vol 2 , No . 3, winter , pp-1-26.
Chen et al, 2000, Quantifying The Bullwhip Effect In A Supply Chain: The Impact Of Forecasting, Lead Times And Information, Management Science, vol. 46 No. 3, pp 436-443.
Chopra, S. and Meindl, P., 2004, Supply chain Management: Strategy, Planning and Operation 2nd ed., Prentice-Hall: Englewood Cliffs, NJ.
Cooper, M.C., D.M Lambert, J.D Pagh, 1997, Supply Chain Management: More Than A New Name For Logistics, International Journal Of Logistics, International Journal Of Logistics Management 8 (1)
Croson R, Donohue K. 2003. The impact of POS data sharing on Supply chain management: an experimental study. Production and Operations Management 12: 1–11.
Croson, Rachel and Donohue, Karen. Fall 2005 “Upstream versus downstream information and its impact on the bullwhip effect”, PP System Dynamics Review Volume 21 Number 3, Pg 249-260.
Dhahri Issam & Chabchoub Habib, 2006, Nonlinear Goal Programming Models Quantifying The Bullwhip Effect In Supply Chain Based On ARIMA Parameters, European Journal Of Operational Research, xxx, unpublished, p-11.
Donnell, T.O., Maguire L., Mcivor R., Humphreys P., 2006, Minimizing The Bullwhip Effect In A Supply Chain Using Genetic Algorithms, International Journal Of Production Research, vol 44, no. 8, 1523-1543.
Disney S.M., Towill D.R., 2003, On The Bullwhip Effect And Inventory Variance Produced By An Ordering Policy, OMEGA: The International Journal Of Management Sciences 31(3), 157-167.
Fisher, M., 1994, National Bicycle, The Wharton School Case, Philadelphia, PA.
Forester. J., 1961, Industrial Dynamics, MIT Press, Cambridge, MA.
Francsoo Jan C and Woulter Marc J.F., 2000, Measuring The Bullwhip Effect In Sypply Chain, Supply Chain Management: An International Journal, pp79.
Fuller, J.B., O’ Conor, J., Rawlinson, R., 1993, Tailored Logistics: The Next Advantage, Harvard Business Review 71 (3), 87-98.
Goran Sevenson, 2003, The Bullwhip Effect In Intra Organizational Echelons, International Journal of Physical Distribution And Logistics Management, vol. 33, no. 2, pp 103-132.
Holwag M et al, 2005, Supply Chain Collaboration Making Sense of The Strategic Continuum, European Management Journal, vol 23, No. 2, pp 170-181.
Jacobs, F.R. (2000), “Playing The Distribution Game over The Internet, Production And Operation Management, Vol. 9, No 1, pp 31-39.
Jharkharia Sanjay and Shankar Ravi, 2004, IT Enablement of Supply Chain: The Modeling Enablers, IJPPM, Vol 53 No. 8, pp 700-712.
Johnson, M.E. (1998) Giving ‘me what they want. Manage Rev 87(10): 62–67
Kahn, J., 1987, Inventories And The Volatility of Production, America Economic Review 77, 667-679.
Kumar Sanjay, Haleem Abid, 2007 a, “Effective Information Sharing for Reducing Bullwhip Effect: A Simulation based Study, International Journal of Computer Science and System Analysis, Vol 1, No. 2, PP 101-118.
Kumar Sanjay, Haleem Abid, 2007 b, “Modeling Bullwhip Effect and Understanding the role of Information Sharing”, GLOGIFT 07’ an International Conference on Flexibility with Business Excellence in the Knowledge Economy”.
Lee H and Bilington C, 1992, Managing Supply Chain Inventories: Pitfalls And Opportunities, Sloan Management Review, vol. 33, No. 3, pp 65-73.
Lee H.L. Padmanabhan P, Whang S, 1997 a, Information Distortion In A Supply Chain, The Bullwhip Effect Management Science 43, 543-558.
Lee H.L. Padmanabhan P, Whang S, 1997 b, The Bullwhip Effect In A Supply Chain, Sloan Management Review 38 (3), 93-102.
Lee, H., Padmanabban, V., and Whang, S., “Comments on “Information Distortion in a Supply chain: The Bullwhip effect”, PP Management Science 50(12S), pg. 1887–1893, ©2004 INFORMS
Lehtonen, Johanna Småros & Jan Holmström. “The Effect of Demand Visibility in Product Introductions”, PP 16th Annual NOFOMA Conference, June 7-8, 2004, Linköping, Sweden
Li Gang, Wang Shouyang, Yan Hong and Yu Gang, 2005, Information Transformation In Supply Chain: A Simulation Study, Computers And Operations Research, pp 707-710.
Machuca J.A.D. and Barajas R.P. (2004) ‘The Impact of Electronic Data Interchange on Reducing Bullwhip Effect and Supply Chain Inventory Cost’, Transportation Research, Part E 40, pp 209-228.
Miyaoka, Julia & Hausman, Warren. “How a Base Stock Policy Provides Supply chain Benefits Manufacturing & Service Operations Management 6(2), pp. 149–162, ©2004 INFORMS
Moyaux, T., Chaib-draa, B., D'Amours, S., 2006, “Information Sharing as a Coordination Mechanism for Reducing the Bullwhip effect in a Supply chain”.
Naish, H. F. (1994). Production smoothing in the linear quadratic inventory model. The Economic Journal, 104(425): 864-875.
Nienhaus J. et al. al.: Trends in Supply chain Management – A survey among more than 200European Companies, Centre for Enterprise Sciences (BWI), Swiss Federal Institute of Technology (ETH) Zurich, Switzerland, 2003.
Simchi-Levi, D.; Kaminsky, P.; Simchi-Levi, 2006, E: Designing and Managing the Supply chain. Concepts, Strategies, and Case Studies, Irwin McGraw-Hill.
Stalk G., Evans P, Shulman L.E. (1992) ‘Competing on Capabilities: The New Rules of Corporate Strategy’, Harvard Business Review, Vol. 70, No. 2, pp 57-70.
Sterman, J., 2000, Business Dynamics System Thinking and Modeling For A Complex World, Mc Graw Hill.
Sterman, J., 1989. Misperceptions of Feedback in Dynamic Decision Making. Organizational Behavior and Human Decision Processes. 43(3), 301-335.
Taylor, D. 1999, Measurement and analysis of demand amplification across the Supply chain. The International Journal of Logistics Management, 10(2): 55-70.
Towill D, 1996, Compression And The Supply Chain- A Guided Term, Supply Chain Management- An International Journal, vol 1, no. 1 pp 15-27.
Wu, Diana Yan, Katok, Elena, 2005, Learning Communication and The Bullwhip Effect, Journal of Operations Management, unpublished, pp-12.
Xicolongchang, 2004, Effects of Forecasting Methods on Bullwhip Effect, International Journal of Production Economics, 88 pp 15-27.
- There are currently no refbacks.
Please send any question about this web site to firstname.lastname@example.org
Copyright © 2005-2023 Praise Worthy Prize