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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ying Wang Zhen He |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Manage., Tianjin Univ. of Technol., Tianjin (Ying Wang; Zhen He) |
| Abstract | There are always more than one quality responses or characteristics in product or process design and engineers often must choose optimum parameter combination for these responses simultaneously. Taguchi method, as a cost-effective method for off-line quality control, especially the quadratic loss function shows loss of quality directly, has been widely employed by quality engineering to deal with single-response problem, but few of them pay attention to multi-response problem. TOPSIS (Technique for order preference by similarity to ideal solution) method is a popular used multiple attribute decision making (MADM) methodology. In conventional TOPSIS method, responses are usually transformed into loss of quality, and then normalized by the largest quality loss. However, for nominal-the- best (NTB) problem, it's not a reasonable methodology. Based on conventional TOPSIS, the proposed method makes an improvement to adapt to NTB type response, it also takes the standard deviation of responses into consideration simultaneously for the purpose of robustness. The improved TOPSIS method is illustrated by an example from literatures, and the result indicates its reasonableness and effectiveness. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 105502 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424421077 |
| DOI | 10.1109/WiCom.2008.1896 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Process design Design engineering Technology management Decision making Quality control Robustness Helium Quality management Design optimization |
| Content Type | Text |
| Resource Type | Article |
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