| dc.creator |
Loh, Han Tong |
|
| dc.creator |
Koh, Wee Leong |
|
| dc.creator |
Menon, Rakesh |
|
| dc.creator |
Leong, Christopher K. |
|
| dc.date |
2003-12-23T15:26:47Z |
|
| dc.date |
2003-12-23T15:26:47Z |
|
| dc.date |
2002-01 |
|
| dc.date.accessioned |
2013-10-09T02:33:57Z |
|
| dc.date.available |
2013-10-09T02:33:57Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/4041 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.description |
In many manufacturing companies, large databases containing data on failures and repairs of products are maintained. This paper reports on a case where information from such a database is extracted. Such information extracted could be useful for identifying opportunities for reliability improvements in the products. The database was obtained from a manufacturer of inkjet printers and contains both fixed-format and free-form text fields. At present, techniques developed in data mining and information retrieval are mainly designed to handle either fixed-format or free-form text fields, but not a combination of both. The approach taken in this paper is to first transform the free-form text fields into a number of fixed-format fields through analysis of the frequency of key words. Association analysis was then carried out on the resulting fixed-format fields. Results obtained from the analysis produced a number of associations that could contribute to improving product reliability. |
|
| dc.description |
Singapore-MIT Alliance (SMA) |
|
| dc.format |
32149 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.relation |
Innovation in Manufacturing Systems and Technology (IMST); |
|
| dc.subject |
failures |
|
| dc.subject |
reliability improvements |
|
| dc.subject |
data mining |
|
| dc.subject |
service center records |
|
| dc.title |
A Study of Service Center Records Using Data Mining |
|
| dc.type |
Article |
|