Evaluation on Manufacturing Readiness Level for a Certain Type Equipment Based on BP Neural Network

Jin An; Ning Qu; Shao Xiong Peng; Xin Wang; Jian Cun Ren; Ting Jun Li

doi:10.4028/www.scientific.net/AMM.488-489.1375

Paper Titles

Aviation Human Factors Accident Causation Model Based on Structure Entropy
p.1354

Research on Technology Oriented Framework of Aspects Extraction from Customer Reviews
p.1358

An Ontology-Based Intelligent Decision Problem Analysis Method
p.1363

Cluster-Based Algorithm for Order Grouping Problem of Round Steel
p.1371

Evaluation on Manufacturing Readiness Level for a Certain Type Equipment Based on BP Neural Network
p.1375

The Application of Fuzzy Comprehensive Evaluation Method Based on AHP on the Distribution of Rail Transport
p.1379

The EOQ Model for Hybrid Manufacturing/Remanufacturing System Considering Time-Value of Costs
p.1383

Green Design Methods for Mass Customization
p.1387

The Application of Combination Prediction to Freight Volume of the Jingjiang River Channel Regulation Project
p.1391

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 488-489Evaluation on Manufacturing Readiness Level for a...

Evaluation on Manufacturing Readiness Level for a Certain Type Equipment Based on BP Neural Network

Abstract:

The level of manufacturing readiness for productions can decide the quality and effectiveness directly. In this paper, the indexes system of a certain type equipment is built up. And the evaluation model is established based on BP neural network. At last, the method is proved to be effective through the example of manufacturing readiness evaluation for a type of the equipment, providing a reference method to evaluation and improvement of manufacturing readiness level for a certain type equipment.

You might also be interested in these eBooks

Materials Science, Civil Engineering and Architecture Science, Mechanical Engineering and Manufacturing Technology

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 488-489)

Pages:

1375-1378

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.488-489.1375

Citation:

Cite this paper

Online since:

January 2014

Authors:

Jin An*, Ning Qu, Shao Xiong Peng, Xin Wang, Jian Cun Ren, Ting Jun Li

Keywords:

BP Neural Network (BPNN), Manufacturing Readiness Level, Readiness Assessment

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] OSD Manufacturing Technology Program in collaboration with the Joint Service / Industry MRL Working Group. Manufacturing Readiness Level Deskbook，2010. 7.

Google Scholar

[2] Tian Jingwen, Gao Meijuan. Artificial Neural Network Algorithm and Application [M]. Beijing: Beijing University of technology press, 2006, 7: 76-79.

Google Scholar

[3] Huang Jianxin, Bian Yaqin, Zhang Shengtao. Radar Equipment Maintenance Quality Evaluation Based on BP Neural Networks [J]. Aviation Maintenance and Engineering, 2012, 224 (2): 88-90.

Google Scholar

[4] Xu Tingxue, Yang Jikun, Han Chao, etc. Environmental Adaptability Evaluation and Countermeasure of Missile Based on BP Neural Network [J]. Environmental Engineering, 2012, 9(3): 86-89.

Google Scholar

[5] Yue Fuchang, Yan Qunxue. BP Neural Network and Its Application in Equipment Using Phase Quality Assessment [J]. Journal of Sichuan Ordnance, 2010, 31 (11): 56-59.

Google Scholar

[6] Yu Jianqiao, Wen Zhonghui, Mei Yuesong, etc. Overall Design of Tactical Missile [M]. Beijing: Beijing University of Aeronautics and Astronautics Press. 2010: 1-2.

Google Scholar

[7] Shen Rusong. Introduction of Missile Weapon System [M]. Beijing: National Defense Industry Press. 2010: 3-6, 74-192.

Google Scholar

[8] Li Tingjun, The Phonetic Complex Data Based on FPGA Key Engineering Materials. Vols 475(2011)pp.1156-1160.

Google Scholar