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Beer game order policy optimization under changing customer demand · Study

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ArticleBeer game order policy optimization under changing customer demand

Fernanda Strozzi2006

Article2006

Beer game order policy optimization under changing customer demand

Fernanda Strozzi · J.M. Zaldı́var

54 citations·0/0 files stored·Decision Support Systems

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Supply Chain and Inventory Management Scheduling and Optimization Algorithms Operations Management Techniques

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References

1974Judgment under Uncertainty: Heuristics and Biases 1983Judgement under Uncertainty: Heuristics and Biases 1989Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment 2000Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information 1985Ambiguity and uncertainty in probabilistic inference.1986An Anchoring and Adjustment Model of Spousal Predictions 1988Deterministic chaos in the beer production‐distribution model

Cited by

2015The what, the why and the how of behavioural operational research—An invitation to potential sceptics 2011Inventory policies and information sharing in multi-echelon supply chains 2013Optimization of total inventory cost and order fill rate in a supply chain using PSO 2017A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems 2018An exploratory study of risk aversion in supply chain dynamics via human experiment and agent-based simulation 2009Logistic Game™: learning by doing and knowledge-sharing

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Year2006

Typearticle

Published2006-07-26

VenueDecision Support Systems

ISSN-L0167-9236

Languageen

Citations54

Files0 public / 0

ShelfSupply Chain and Inventory Management

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doi10.1016/j.dss.2006.06.001

openalex_workW2058734298

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2015A simulation model of a coordinated decentralized supply chain

2007A supply chain as a series of filters or amplifiers of the bullwhip effect