Abstract
Quality function deployment (QFD) is a popular approach to design products that satisfy customer needs. To minimize the total quality loss caused by commonality when establishing a product platform and better satisfy customer requirements, this paper presents a five-step QFD-based methodology to determine the optimal values for platform engineering characteristics (ECs) and non-platform ECs of the products within a product family. First, the optimal values of ECs for each individual product within a family are determined. Then, the platform ECs are identified according to the calculated sensitivity indices of the ECs, and the values of each platform EC are clustered. A mathematical model is developed to simultaneously optimize the values of the platform and the non-platform ECs. Finally, the ECs that the worst overall customer satisfaction loss can be avoided are selected as platform ECs. A case study is used to demonstrate the methodology.
| Original language | English |
|---|---|
| Title of host publication | IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management |
| Pages | 1317-1321 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 1 Dec 2009 |
| Event | IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 - Hong Kong, Hong Kong Duration: 8 Dec 2009 → 11 Dec 2009 |
Conference
| Conference | IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 |
|---|---|
| Country/Territory | Hong Kong |
| City | Hong Kong |
| Period | 8/12/09 → 11/12/09 |
Keywords
- Customer requirements
- Optimization
- Product platform
- Quality function deployment (QFD)
ASJC Scopus subject areas
- Management of Technology and Innovation
- Information Systems and Management
- Industrial and Manufacturing Engineering
- Safety, Risk, Reliability and Quality
