The theory of ratio scale estimation: Saaty's analytic hierarchy process
Management Science
Managing new product definition in highly dynamic environments
Management Science
Planning and design of industrial engineering education quality
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
QFD-based expert system for non-traditional machining processes selection
Expert Systems with Applications: An International Journal
An integrated information system for product design planning
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
An integrated decision making approach for ERP system selection
Expert Systems with Applications: An International Journal
Robustness indices and robust prioritization in QFD
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An evidential reasoning based approach for quality function deployment under uncertainty
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
The extension of fuzzy QFD: From product planning to part deployment
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
A conceptual model for proactive-interactive customer complaint management systems
International Journal of Business Information Systems
Hi-index | 12.05 |
In the context of a customer-driven product or service design process, a timely update of customer needs information may not only serve as a useful indicator to observe how things change over time, but it also provides the company a better ground to formulate strategies to meet the future needs of its customer. This paper proposes a systematic methodology to deal with customer needs' dynamics, in terms of their relative weights, in the QFD. Compared to previous research, its contribution is three-fold. First, it proposes the use of a forecasting technique which is effective to model the dynamics of Analytic Hierarchy Process (AHP) based importance rating. This is owing to the fact that the AHP has been applied very extensively in the QFD and there is, unfortunately, almost no tool to model the dynamics. Second, it describes more comprehensively on how future uncertainty in the weights of customer needs may be estimated and transmitted to the design attributes. Third, it proposes the use a quantitative approach that takes into account the decision maker's attitude towards risk to optimize the QFD decision making analysis. Finally, an example based on a real-world application of QFD is provided to show the practical applicability of the proposed methodology.