The Beer Game slides

Artificial Agents Play the Beer Game Eliminate the Bullwhip Effect and Whip the MBAs Steven O. Kimbrough D.-J. Wu Fang Zhong FMEC, Philadelphia, June 2000; file: beergameslides.ppt

The MIT Beer Game ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Timing ,[object Object],[object Object],[object Object],[object Object],[object Object]

The Bullwhip Effect ,[object Object],[object Object]

Observed Bullwhip effect from undergraduates game playing

Bullwhip Effect Example (P & G) ,[object Object]

Analytic Results: Deterministic Demand ,[object Object],[object Object],[object Object],[object Object],[object Object]

Analytic Results: Stochastic Demand (Chen, 1999, Management Science ) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Agent-Based Approach ,[object Object],[object Object],[object Object],[object Object],[object Object]

Research Questions ,[object Object],[object Object],[object Object],[object Object]

Agents Coding Strategy ,[object Object],[object Object],[object Object],[object Object],[object Object]

Experiment 1a: First Cup ,[object Object],[object Object],[object Object],[object Object],[object Object]

Experiment 1b ,[object Object],[object Object],[object Object]

Result of Experiment 1b ,[object Object]

Stability (Experiment 1b) ,[object Object],[object Object],[object Object],[object Object]

Experiment 2: Second Cup ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Artificial agents eliminate the Bullwhip effect.

Artificial agents discover a better policy than “1-1” when facing stochastic demand with penalty costs for all players.

Experiment 3: Third Cup ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Artificial agents discover better and stable policies than “1-1” when facing stochastic demand and stochastic lead-time.

Artificial Agents are able to eliminate the Bullwhip effect when facing stochastic demand with stochastic leadtime .

The Columbia Beer Game ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Ongoing Research: More Beer ,[object Object],[object Object],[object Object],[object Object]

Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

A framework for multi-agent intelligent enterprise modeling

The Beer Game slides

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The Beer Game slides