Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26996
Title: Application of fuzzy c-means algorithm in SMT assembly grouping problem
Authors: Li, KH
Li, CK
Lee, SSF
Lu, D
Keywords: Clustering techniques
Fuzzy c-means clustering
PCB grouping
PCB-component matrix
SMT assembly
Issue Date: 2003
Publisher: Hong Kong Institution of Engineers
Source: HKIE transactions, 2003, v. 10, no. 3, p. 20-25 How to cite?
Journal: HKIE transactions 
Abstract: The work in this paper is mainly on the grouping of printed circuit boards (PCBs) for Surface Mount Assembly in the electronics industry. The arrangement of PCBs among several surface mount machine lines is a typical kind of group technology (CT) problem. From literature, there are various clustering techniques developed to solve the clustering problems. In this paper, fuzzy c-means clustering (FCM) is used to solve the PCB grouping problem. The FCM is applied in a real problem and the result shows that there should be a systematic method to arrange the scheduling of PCB assemblies in electronic industry to improve the operations planning process.
URI: http://hdl.handle.net/10397/26996
ISSN: 1023-697X
EISSN: 2326-3733
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