‘Bullwhip’ and ‘backlash’ in supply pipelines

‘Bullwhip’ is the phenomenon experienced in practice, signifying the propagation and amplification of orders as they pass upstream in a supply chain pipeline. ‘Bullwhip’ creates uncertainty for managers who then create stock and/or maintain excess capacity leading to increased total costs. A well known descriptor of the phenomenon is the MIT Beer Game simulation. We use the Beer Game to describe and explore a different phenomenon we term the ‘backlash’ effect. This is the resulting impact of the ‘bullwhip’ effect on shipments downstream. The two effects described have analogue with amplitude pressure wave propagation (‘bullwhip’) and reflection (‘backlash’) in physical systems such as flow ducts. We use the Fourier transform method to describe the ‘bullwhip’ propagation and ‘backlash’ reflections. We conclude that the ‘backlash’ effect occurs due to the ready availability of capacity in the whole supply chain and inventory in the final echelon.

[1]  Olli-Pekka Hilmola,et al.  Manufacturing lot sizing as a source of the Bullwhip Effect: a case study of electronics and furniture supply chains , 2006 .

[2]  D. Sterman,et al.  Misperceptions of Feedback in a Dynamic Decision Making Experiment , 1989 .

[3]  Mohamed Mohamed Naim,et al.  The impact of the net present value on the assessment of the dynamic performance of e-commerce enabled supply chains , 2006 .

[4]  G. N. Evans,et al.  Minimum Reasonable Inventory and the Bullwhip Effect in an Automotive Enterprise: A "Foresight Vehicle" Demonstrator , 2002 .

[5]  Denis Royston Towill,et al.  A discrete transfer function model to determine the dynamic stability of a vendor managed inventory supply chain , 2002 .

[6]  Andrew V Metcalfe,et al.  Spectral Analysis in Engineering: Concepts and Cases , 1995 .

[7]  Mohamed Mohamed Naim,et al.  The role of transport flexibility in logistics provision , 2006 .

[8]  Stefan Simeonov Dimov,et al.  Data mining: A tool for detecting cyclical disturbances in supply networks , 2007 .

[9]  Rachel Croson,et al.  IMPACT OF POS DATA SHARING ON SUPPLY CHAIN MANAGEMENT: AN EXPERIMENTAL STUDY , 2003 .

[10]  D. Hillis Improving the flow [resource optimisation in logistics] , 2006 .

[11]  Mohamed Mohamed Naim,et al.  The dynamics of emergency transhipment supply chains , 2000 .

[12]  Karen Donohue,et al.  Behavioral Causes of the Bullwhip Effect and the Observed Value of Inventory Information , 2006, Manag. Sci..

[13]  A. Ackere,et al.  Systems thinking and business process redesign: An application to the beer game , 1993 .

[14]  Michael Tracey,et al.  Transportation Effectiveness and Manufacturing Firm Performance , 2004 .

[15]  Giovanni Miragliotta,et al.  Layers and mechanisms: A new taxonomy for the Bullwhip Effect , 2006 .

[16]  Paul Humphreys,et al.  Minimizing the bullwhip effect in a supply chain using genetic algorithms , 2006 .

[17]  D. Towill FORRIDGE - Principles of good practice in material flow , 1997 .

[18]  George Jr. Stalk Hout Competing Against Time : How Time Based Competition Is Reshaping Global Markets , 2002 .

[19]  J Swanson,et al.  Business Dynamics—Systems Thinking and Modeling for a Complex World , 2002, J. Oper. Res. Soc..

[20]  Gerard J. C. Gaalman,et al.  Bullwhip reduction for ARMA demand: The proportional order-up-to policy versus the full-state-feedback policy , 2006, Autom..

[21]  John D. Sterman,et al.  Business dynamics : systems thinking and modelling for acomplex world , 2002 .

[22]  Matthew A. Waller,et al.  A NOTE ON RESEARCH METHODOLOGY IN BUSINESS LOGISTICS. , 1993 .

[23]  R. Boughton,et al.  ADDRESSING THE ESCALATING COST OF ROAD TRANSPORT , 2003 .

[24]  Erik R. Larsen,et al.  Complex behaviour in a production-distribution model , 1999, Eur. J. Oper. Res..

[25]  Neale R. Smith,et al.  Supply chain dynamics: analysis of inventory vs. order oscillations trade-off , 2006 .

[26]  M. Naim,et al.  Assessing the impact of e-business on supply chain dynamics , 2004 .

[27]  Andrew Thomas Potter,et al.  Bullwhip and batching: An exploration , 2006 .

[28]  Denis Royston Towill,et al.  The Impact of Pipeline Control on Supply Chain Dynamics , 1997 .

[29]  Elena Katok,et al.  Learning, communication, and the bullwhip effect , 2006 .

[30]  Richard D. Metters,et al.  Quantifying the bullwhip effect in supply chains , 1997 .

[31]  P. A. Blight The Analysis of Time Series: An Introduction , 1991 .

[32]  T. Hout,et al.  Competing Against Time , 1990 .

[33]  G. N. Evans,et al.  Analysis and design of an adaptive minimum reasonable inventory control system , 1997 .

[34]  Matthias Holweg,et al.  Waves, beaches, breakwaters and rip currents – A three‐dimensional view of supply chain dynamics , 2000 .

[35]  Riikka Kaipia,et al.  Planning nervousness in a demand supply network: an empirical study , 2006 .

[36]  Nina F. Thornhill,et al.  An exploratory study to identify rogue seasonality in a steel company's supply network using spectral principal component analysis , 2006, Eur. J. Oper. Res..

[37]  M. Ortega,et al.  Control theory applications to the production–inventory problem: a review , 2004 .

[38]  Theodore P. Stank,et al.  A framework for transportation decision making in an integrated supply chain , 2000 .

[39]  O. Tang,et al.  The impact of information transparency on the dynamic behaviour of a hybrid manufacturing/remanufacturing system , 2004 .

[40]  N. Kalouptsidis,et al.  Spectral analysis , 1993 .

[41]  Mohamed Mohamed Naim,et al.  Dynamic analysis of a WIP compensated decision support system , 1994 .

[42]  S. Disney,et al.  THE IMPACT OF VENDOR MANAGED INVENTORY ON TRANSPORT OPERATIONS , 2003 .

[43]  Vineet Padmanabhan,et al.  Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect" , 1997, Manag. Sci..

[44]  C. S. Lalwani,et al.  Combining vertical and horizontal collaboration for transport optimisation , 2007 .

[45]  Stephen M. Disney,et al.  Measuring and avoiding the bullwhip effect: A control theoretic approach , 2003, Eur. J. Oper. Res..

[46]  Christopher S. Tang,et al.  The Value of Information Sharing in a Two-Level Supply Chain , 2000 .

[47]  S. Disney,et al.  On bullwhip in supply chains--historical review, present practice and expected future impact , 2006 .

[48]  J. Fransoo,et al.  Measuring the bullwhip effect in the supply chain , 2000 .

[49]  Fangruo Chen,et al.  The Stationary Beer Game , 2009 .

[50]  David Taylor Measurement and Analysis of Demand Amplification Across the Supply Chain , 1999 .

[51]  Marios C. Angelides,et al.  System dynamics modelling in supply chain management: research review , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).