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. / Singapore-MIT Alliance (SMA)
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/4041 |
| Date | 01 1900 |
| Creators | Loh, Han Tong, Koh, Wee Leong, Menon, Rakesh, Leong, Christopher K. |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Type | Article |
| Format | 32149 bytes, application/pdf |
| Relation | Innovation in Manufacturing Systems and Technology (IMST); |
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