Abstract
Quality function deployment (QFD) is a well-known method of developing customer-oriented products for satisfying customer needs (CNs). One important process of QFD is to determine importance weights of CNs. However, it is also important to estimate the future importance of CNs because of the existence of the time interval between determining importance weights of CNs and the launch of new products. In this paper, an approach based on fuzzy Markov chain and fuzzy weighted average methods is proposed to determine both present and future importance weights of CNs. A case study of a packing machine design is used to illustrate the applicability of the proposed approach.
| Original language | English |
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| Title of host publication | 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016 |
| Publisher | IEEE Computer Society |
| Pages | 1605-1609 |
| Number of pages | 5 |
| Volume | 2016-December |
| ISBN (Electronic) | 9781509036653 |
| DOIs | |
| Publication status | Published - 27 Dec 2016 |
| Event | 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016 - Bali, Indonesia Duration: 4 Dec 2016 → 7 Dec 2016 |
Conference
| Conference | 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016 |
|---|---|
| Country/Territory | Indonesia |
| City | Bali |
| Period | 4/12/16 → 7/12/16 |
Keywords
- Customer needs
- fuzzy Markov chain
- fuzzy weighted average
ASJC Scopus subject areas
- Business, Management and Accounting (miscellaneous)
- Industrial and Manufacturing Engineering
- Safety, Risk, Reliability and Quality