Research of WBS Construction Technology for Large Aircraft Based on Artificial Neural Network


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To ensure development work breakdown comprehensive and thorough for large aircraft product, this paper put forward a WBS decomposition technique based on artificial neural network. On the basis of analysis of the neural network model and work breakdown structure (WBS), project control work breakdown structure (PCWBS), functional work breakdown structure (FWBS), relational work breakdown structure (RWBS), I set up a model which could get PCWBS, FWBS, RWBS and then get WBS according to the knowledge of the similar aircraft development WBS decomposition, so as to realize the automatic acquisition of WBS by input the general project attribute, which replaced the traditional state of depends on the personnel’s experience, and improve efficiency. Based on this, a prototype system is developed, and has been validated by a large aircraft WBS’s generation.



Edited by:

Zhengyi Jiang, Yugui Li, Xiaoping Zhang, Jianmei Wang and Wenquan Sun




K. F. Wang et al., "Research of WBS Construction Technology for Large Aircraft Based on Artificial Neural Network", Applied Mechanics and Materials, Vols. 220-223, pp. 812-818, 2012

Online since:

November 2012




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