Deterministic Model and Genetic Algorithm of Joint Inventory Control for Virtual Logistics

Da Li Jiang; Feng Wang

doi:10.4028/www.scientific.net/AMR.472-475.97

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 472-475Deterministic Model and Genetic Algorithm of Joint...

Deterministic Model and Genetic Algorithm of Joint Inventory Control for Virtual Logistics

Abstract:

Virtual logistics is the trend of development for modern logistics. The problem of optimum of whole inventory of enterprises inside the virtual logistics organization should be solved immediately. This paper makes a deep research on virtual logistics joint inventory control problem, and puts forward an inventory control model based on indirect grouping. The model is a NP-Hard problem, so we put forward a genetic algorithm to solve the problem. The results of computational experiment prove the performance of both the model and the genetic algorithm.

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Advanced Manufacturing Technology, ICMSE 2012

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Periodical:

Advanced Materials Research (Volumes 472-475)

Pages:

97-101

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.472-475.97

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Online since:

February 2012

Authors:

Da Li Jiang, Feng Wang

Keywords:

Deterministic Demand, Genetic Algorithm (GA), Joint Inventory Control, Model, Virtual Logistics

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References

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