Title: Beer Game Order Policy Optimization Using Genetic Algorithms
Authors: BOSCH PAGANS JordiSTROZZI FernandaZALDIVAR COMENGES JOSE'
Publisher: Carlo Cattaneo University
Publication Year: 2005
JRC Publication N°: JRC32232
URI: http://www.biblio.liuc.it
http://publications.jrc.ec.europa.eu/repository/handle/JRC32232
Type: Articles in books
Abstract: In this work we analyse the optimal order policies, i.e. the optimal parameters of the Sterman model, when a step-change occurs in the customer demand. The optimal policy considered is the policy that gives the minimum cost, accounting both for the costs to maintain a stock of goods and for the costs of having a backlog when it is not possible to satisfy the demand. Two scenarios have been analysed: all sectors apply the same order policies, or different policies are applied from sector to sector. The search of the optimal solution has been performed using Genetic Algorithms due to the complexity of the objective cost function, which has many local minima and, in the case of different policies, many parameters.
JRC Institute:Institute for Environment and Sustainability

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