Inventory Classification and Management Strategy of Components and Parts in Assembly Workshops

Dong Juan Xue

doi:10.4028/www.scientific.net/AMM.687-691.5028

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Inventory Classification and Management Strategy...

Inventory Classification and Management Strategy of Components and Parts in Assembly Workshops

Abstract:

Material inventory management plays an increasingly important role in modern operations management within manufacturing enterprises. And a multi-attribute classification model has been put up based on the application of the decide tree model and fuzzy artificial neural network. First the material inventory styles are classified. Then a decision tree model is defined based on inventory classification result. The value of the node is decided by Fuzzy Neural Network if multi-attribute decision is needed and material inventory strategy can be decided with the classification tree and inventory strategy table. In the end, the implementation of the model in a manufacturing enterprise resource plan system is presented.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

5028-5031

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.5028

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Online since:

November 2014

Authors:

Dong Juan Xue*

Keywords:

Classification Tree Model, Fuzzy Neural Network, Inventory Classification

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* - Corresponding Author

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