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| Content Provider | Springer Nature Link |
|---|---|
| Author | Salmasnia, Ali Bashiri, Mahdi |
| Copyright Year | 2014 |
| Abstract | Design of process parameters to meet the required specification of quality characteristics has become a crucial issue for many industries. The underlying relationships between process inputs and outputs are one of the main tasks in quality engineering. Most of researches assume independency and consider same relative importance of quality characteristics with constant variances over experimental space. This study represents a novel robust approach based on desirability function and global criterion methods that not only obtains the parameter design but also considers different variance, correlation, and relative importance level of outputs. The suggested method enforces all quality measurements to fall within specification limits. To illustrate computational aspects of the proposed method, two realistic examples have been conducted. The obtained results demonstrate the superiority of the proposed approach with respect to the existing approaches. |
| Starting Page | 1047 |
| Ending Page | 1062 |
| Page Count | 16 |
| File Format | |
| ISSN | 02683768 |
| Journal | The International Journal of Advanced Manufacturing Technology |
| Volume Number | 76 |
| Issue Number | 5-8 |
| e-ISSN | 14333015 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2014-09-12 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Multiple response optimization Correlated multiple responses Desirability function Robust design Global criterion Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software |
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