Abstract
This paper will discuss how techniques such as Taguchi Method, Fuzzy Logic, and Artificial Neural Networks could be incorporated within QFD to resolve some of its drawbacks, such as the complexity of the QFD charts, ambiguity in the data collected and determining the interrelationship between processes. These proposed techniques will be adopted to produce an intelligent systems approach to QFD.
| Original language | English |
|---|---|
| Title of host publication | The 10th Symposium on QFD |
| Publisher | QFD Institute |
| Pages | 535-552 |
| ISBN (Print) | 1-889477-10-9 |
| Publication status | Published - 1998 |
| Event | The Tenth Symposium on Quality Function Deployment - Novi, United States Duration: 1 Jun 1998 → 2 Jun 1998 |
Conference
| Conference | The Tenth Symposium on Quality Function Deployment |
|---|---|
| Country/Territory | United States |
| City | Novi |
| Period | 1/06/98 → 2/06/98 |