Abstract
Customer requirements (CRs) play a significant role in the product development process, especially in the early design stage. Quality function deployment (QFD), as a useful tool in customer-oriented product development, provides a systematic approach towards satisfying CRs. Customers are heterogeneous and their requirements are often vague, therefore, how to determine the relative importance ratings (RIRs) of CRs and eventually evaluate the final importance ratings is a critical step in the QFD product planning process. Aiming to improve the existing approaches by interpreting various CR preferences more objectively and accurately, this paper proposes a weighted interval rough number method. CRs are rated with interval numbers, rather than a crisp number, which is more flexible to adapt in real life; also, the fusion of customer heterogeneity is addressed by assigning different weights to customers based on several factors. The consistency of RIRs is maintained by the proposed procedures with design rules. A comparative study among fuzzy weighted average method, rough number method and the proposed method is conducted at last. The result shows that the proposed method is more suitable in determining the RIRs of CRs with vague information.
Original language | English |
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Pages (from-to) | 3-16 |
Number of pages | 14 |
Journal | Journal of Intelligent Manufacturing |
Volume | 30 |
Issue number | 1 |
DOIs | |
Publication status | Published - 31 Jan 2019 |
Externally published | Yes |
Keywords
- Customer-centric design
- Fuzzy set theory
- Product planning
- Quality function deployment
- Rough set theory
ASJC Scopus subject areas
- Software
- Industrial and Manufacturing Engineering
- Artificial Intelligence