Research of Optimizing Ordering and Inventory Control of Supply Chain Systems Based on GA

Yong Gao; Ming Yu Li; Jian Ping Wang

doi:10.4028/www.scientific.net/AMR.411.378

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 411Research of Optimizing Ordering and Inventory...

Research of Optimizing Ordering and Inventory Control of Supply Chain Systems Based on GA

Abstract:

In order to resolve material ordering and inventory control problem in supply chain, optimization method based on GA is put forward. Supply chain model in the paper is made up of one supplier, one manufacturer, N-retailers and end customers. Moreover, supply chain model is developed in terms of two policies: traditionally centralized controlling policy and the coordinating controlling policy. Lastly, optimizing ordering and inventory control problem for supply chain is solved by genetic algorithm (GA), and an instance is illustrated to show the validity of the method.

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Periodical:

Advanced Materials Research (Volume 411)

Pages:

378-382

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.411.378

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Online since:

November 2011

Authors:

Yong Gao, Ming Yu Li, Jian Ping Wang

Keywords:

Genetic Algorithm (GA), Inventory Control, Ordering Policy, Supply Chain

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