Expert Systems with Applications: An International Journal
One-Step QFD based 3D morphological charts for concept generation of product variant design
Expert Systems with Applications: An International Journal
Towards a QFD-based expert system: A novel extension to fuzzy QFD methodology using rough set theory
Expert Systems with Applications: An International Journal
A systematic methodology to deal with the dynamics of customer needs in Quality Function Deployment
Expert Systems with Applications: An International Journal
Integrating preference analysis and balanced scorecard to product planning house of quality
Computers and Industrial Engineering
Determining the final priority ratings of customer requirements in product planning by MDBM and BSC
Expert Systems with Applications: An International Journal
A rough set approach for estimating correlation measures in quality function deployment
Information Sciences: an International Journal
Rough set-based approach for modeling relationship measures in product planning
Information Sciences: an International Journal
| Hi-index | 12.06 |
The prioritization of engineering characteristics (ECs) provides an important basis for decision-making in QFD. However, the prioritization results in the conventional QFD may be misleading since it does not consider the uncertainty of input information. This paper develops two robustness indices and proposes the notion of robust prioritization that ensures the EC prioritization to be robust against the uncertainty. The robustness indices consider robustness from two perspectives, namely, the absolute ranking of ECs and the priority relationship among ECs. Based on the two indices, robust prioritization seeks to identify a set of ECs or a priority relationship among ECs in such a way that the result of robust prioritization is stable despite the uncertainty. Finally, the proposed robustness indices and robust prioritization are demonstrated in a case study conducted on the ADSL-based high-speed internet service.