Special Issue: Experimental Economics in Practice: Experimental Economics and Supply-Chain Management

One area in which experimental economics methods have been used to study operations problems is supply-chain management. We survey results from a series of human experiments based on the popular beer distribution game and find cognitive limitations on the part of managers, in particular an underweighting of the supply line. We suggest mechanisms that may alleviate this bias, including sharing inventory and point-of-sale data, and reducing ordering and shipping delays. Our research provides managerial lessons and identifies supply-chain issues that need further experimental study.

[1]  V. Smith Papers in experimental economics , 1991 .

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

[3]  Awi Federgruen,et al.  Computational Issues in an Infinite-Horizon, Multiechelon Inventory Model , 1984, Oper. Res..

[4]  D. Simchi-Levi,et al.  The Bullwhip Effect: Managerial Insights on the Impact of Forecasting and Information on Variability in a Supply Chain , 1999 .

[5]  KahnemanDaniel,et al.  Timid Choices and Bold Forecasts , 1993 .

[6]  Herbert E. Scarf,et al.  Optimal Policies for a Multi-Echelon Inventory Problem , 1960, Manag. Sci..

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

[8]  Sunil Gupta,et al.  Dynamic decision making in marketing channels : an experimental study of cycle time, shared information and customer demand patterns , 1994 .

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

[10]  Andrew Schotter,et al.  Behavioral Consequences of Corporate Incentives and Long-Term Bonuses: An Experimental Study , 1992 .

[11]  Fangruo Chen Decentralized supply chains subject to information delays , 1999 .

[12]  D. Kahneman,et al.  Timid choices and bold forecasts: a cognitive perspective on risk taking , 1993 .

[13]  Morris A. Cohen,et al.  The Stabilizing Effect of Inventory in Supply Chains , 1998, Oper. Res..

[14]  Philip Kaminsky,et al.  A New Computerized Beer Game: A Tool for Teaching the Value of Integrated Supply Chain Management 1 , 1998 .

[15]  Gérard P. Cachon,et al.  Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence.: Experimental Evidence. , 2000 .

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

[17]  Gérard P. Cachon,et al.  Managing Supply Chain Demand Variability with Scheduled Ordering Policies , 1999 .

[18]  Michael J. Magazine,et al.  Quantitative Models for Supply Chain Management , 1998 .

[19]  Christopher S. Tang,et al.  A Modeling Framework for Coordinating Promotion and Production Decisions within a Firm , 1993 .