Analysis of Machining Workshop Manufacturing Based on Unit K Means Clustering

Article Preview

Abstract:

In order to improve the mechanical machining enterprise work efficiency, reduce the cost of enterprise, the process of enterprise existence of similar parts processing by cluster was analysized, using K-means clustering algorithm and the statistical analysis software SPSS with K means clustering analysis function, which grouped the machine tool matrix, and then realized the unit manufacturing.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

3152-3155

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Xiaoqing Wang, Jia fu Tang: Chinese Journal of Mechanical Engineering. Vol. 45. (2009), pp.125-131(In Chinese).

Google Scholar

[2] Jaydeep Balakrishnan, Chun Hung Cheng: European Journal of Operational Research. Vol. 177. (2009). pp.281-309.

Google Scholar

[3] Ming Fan, Xiao feng Meng: Concepts and techniques (Mechanical Industry Press, Beijing(2001). (In Chinese).

Google Scholar

[4] Xiaorong WU: College of Information Science and Engineering, Hunan University. Vol. (2008)(In Chinese).

Google Scholar

[5] Tao Zhao, Er Shi Qi : Management in Engineering Manufacturing Unit Grouping Method Based on Genetic Algorithm. Vol. 12. (1998). pp.48-51(In Chinese).

Google Scholar