Information Transmission and the Bullwhip Effect: An Empirical Investigation

The bullwhip effect is the amplification of demand variability along a supply chain: a company bullwhips if it purchases from suppliers more variably than it sells to customers. Such bullwhips (amplifications of demand variability) can lead to mismatches between demand and production and hence to lower supply chain efficiency. We investigate the bullwhip effect in a sample of 4,689 public U.S. companies over 1974--2008. Overall, about two-thirds of firms bullwhip. The sample's mean and median bullwhips, both significantly positive, respectively measure 15.8% and 6.7% of total demand variability. Put another way, the mean quarterly standard deviation of upstream orders exceeds that of demand by $20 million. We decompose the bullwhip by information transmission lead time. Estimating the bullwhip's information-lead-time components with a two-stage estimator, we find that demand signals firms observe with more than three-quarters' notice drive 30% of the bullwhip, and those firms observe with less than one-quarter's notice drive 51%. From 1974--1994 to 1995--2008, our sample's mean bullwhip dropped by a third. This paper was accepted by Christian Terwiesch, operations management.

[1]  Li Chen,et al.  Bullwhip Effect Measurement and Its Implications , 2012, Oper. Res..

[2]  Antoniu Ovidiu Balint,et al.  AN INQUIRY INTO THE CHARACTERISTICS, APPLICABILITY AND PREREQUISITES OF INTELLIGENT MANAGEMENT SOLUTIONS IN LOGISTICS , 2013 .

[3]  A. Cameron,et al.  Microeconometrics: Methods and Applications , 2005 .

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

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

[6]  James A. Kahn Inventories and the volatility of production , 1986 .

[7]  Z. Justin Ren,et al.  An Empirical Analysis of Forecast Sharing in the Semiconductor Equipment Supply Chain , 2005, Manuf. Serv. Oper. Manag..

[8]  Hong Chen,et al.  What Actually Happened to the Inventories of American Companies Between 1981 and 2000? , 2005, Manag. Sci..

[9]  C. Granger,et al.  Spurious regressions in econometrics , 1974 .

[10]  James A. Kahn,et al.  On the Causes of the Increased Stability of the U.S. Economy , 2002 .

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

[12]  M. Dresner,et al.  Beyond Information Sharing: An Empirical Analysis of Vendor‐Managed Inventory , 2014 .

[13]  Douglas L. Miller,et al.  Robust Inference With Multiway Clustering , 2011 .

[14]  Steven J. Davis,et al.  Interpreting the Great Moderation : Changes in the Volatility of Economic Activity at the Macro and Micro Levels , 2008 .

[15]  Dale W. Jorgenson,et al.  Lessons for Europe from the U.S. Growth Resurgence , 2003 .

[16]  Yossi Aviv,et al.  A Time-Series Framework for Supply-Chain Inventory Management , 2003, Oper. Res..

[17]  Gérard P. Cachon,et al.  Capacity Choice and Allocation: Strategic Behavior and Supply Chain Performance , 1999 .

[18]  Hau L. Lee The triple-A supply chain. , 2004, Harvard business review.

[19]  P. Hall,et al.  On blocking rules for the bootstrap with dependent data , 1995 .

[20]  David F. Pyke,et al.  Optimal base stock policies and truck capacity in a two-echelon system , 1993 .

[21]  D. Jorgenson Information Technology and the U.S. Economy , 2001 .

[22]  W. Newey,et al.  A method of moments interpretation of sequential estimators , 1984 .

[23]  Morris A. Cohen,et al.  Measuring Imputed Cost in the Semiconductor Equipment Supply Chain , 2003, Manag. Sci..

[24]  J. MacKinnon,et al.  Econometric Theory and Methods , 2003 .

[25]  Helmut Ltkepohl,et al.  New Introduction to Multiple Time Series Analysis , 2007 .

[26]  Richard K. Lai Bullwhip in a Spanish Shop , 2005 .

[27]  Taylor Randall,et al.  In Search of the Bullwhip Effect , 2007, Manuf. Serv. Oper. Manag..

[28]  Li Chen,et al.  Information Sharing and Order Variability Control Under a Generalized Demand Model , 2009, Manag. Sci..

[29]  Paul R. Kleindorfer,et al.  Demand Distortions and Capacity Allocation Policies , 2007 .

[30]  Marshall L. Fisher,et al.  An Econometric Analysis of Inventory Turnover Performance in Retail Services , 2005, Manag. Sci..

[31]  Yossi Aviv,et al.  On the Benefits of Collaborative Forecasting Partnerships Between Retailers and Manufacturers , 2007, Manag. Sci..

[32]  Evan L. Porteus Foundations of Stochastic Inventory Theory , 2002 .

[33]  Warren H. Hausman,et al.  Sequential Decision Problems: A Model to Exploit Existing Forecasters , 1969 .

[34]  J. Hahn Bootstrapping Quantile Regression Estimators , 1995, Econometric Theory.

[35]  Stephen C. Graves,et al.  A Single-Item Inventory Model for a Nonstationary Demand Process , 1999, Manuf. Serv. Oper. Manag..

[36]  Nicholas Oulton,et al.  The Case of the Missing Productivity Growth, or Does Information Technology Explain Why Productivity Accelerated in the United States but Not in the United Kingdom? , 2003, NBER Macroeconomics Annual.

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

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

[39]  Ian D. Gow,et al.  Correcting for Cross-Sectional and Time-Series Dependence in Accounting Research , 2009 .

[40]  R. Kapuściński,et al.  Value of Information in Capacitated Supply Chains , 1999 .

[41]  Joseph Geunes,et al.  Coordinating Supply Chains by Controlling Upstream Variability Propagation , 2004, Manuf. Serv. Oper. Manag..

[42]  Hans-Henrik Hvolby,et al.  The implications of information sharing on bullwhip effects in a toy supply chain , 2007 .

[43]  Stephen C. Graves,et al.  A Dynamic Model for Requirements Planning with Application to Supply Chain Optimization , 1998, Oper. Res..

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

[45]  Dean C. Chatfield,et al.  Returns and the bullwhip effect , 2013 .