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Beer game order policy optimization under changing customer demand [An article from: Decision Support Systems]
Book Details
Author(s)F. Strozzi, J. Bosch, J.M. Zaldivar
PublisherElsevier
ISBN / ASINB000PDSESW
ISBN-13978B000PDSES2
MarketplaceUnited Kingdom 🇬🇧
Description
This digital document is a journal article from Decision Support Systems, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
The present work analyses the optimal Beer Game order policy when customers demand increases. The optimal policy is found by means of a Genetic Algorithms (GAs) technique. GAs are specially suited for this problem because of the high dimension of the search space, and because the objective function i.e. the global score of the chain, has many local minima. Our results show that the best performance of the chain is obtained when the sectors have different order policies. The advantage increases with the increasing change in the customer demand.
Description:
The present work analyses the optimal Beer Game order policy when customers demand increases. The optimal policy is found by means of a Genetic Algorithms (GAs) technique. GAs are specially suited for this problem because of the high dimension of the search space, and because the objective function i.e. the global score of the chain, has many local minima. Our results show that the best performance of the chain is obtained when the sectors have different order policies. The advantage increases with the increasing change in the customer demand.
