Sensitivity Analysis of the Rating Scales and Worth Calculation Schemes Used in QFD Matrices
Abstract
Quality Function Deployment (QFD) is matrix method that identifies relative worth of product requirements from the customer requirements and their importance. Understanding the relative worth enables engineers to evaluate the potential of design concepts to achieve important requirements. In a QFD matrix called "House of Quality" or QFD I, engineers assess correlations between product requirements and customer requirements using a linear (e.g., 1-3-5) or an exponential (e.g., 1-3-9) rating scale. The exponential scale assigns product requirements that have large correlations with customer requirements a higher ratings of 9 instead of 5, and therefore, gives them larger relative worth. This paper studies how the choice of linear 1-3-5 and exponential 1-3-9 rating scales changes the relative worth of product requirements. To avoid being restricted to any specific pattern of a QFD matrix, this paper uses simulations and analytic approaches to obtain distributions of changes of relative worth, and to calculate the upper bounds of these changes. Finally, in an illustrative example, the authors integrate QFD and concept evaluation activities and provide a case in which the choice of rating scale in a QFD I matrix changes the optimal concept.
Recommended Citation
S. Takai and K. Ishii, "Sensitivity Analysis of the Rating Scales and Worth Calculation Schemes Used in QFD Matrices," Proceedings of 2004 ASME International Mechanical Engineering Congress and RD&D Exposition, American Society of Mechanical Engineers (ASME), Jan 2004.
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Concept Selection; QFD; Rating Scale; Sampling with Replacement; Sensitivity Analysis; Quality function deployment
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2004 American Society of Mechanical Engineers (ASME), All rights reserved.
Publication Date
01 Jan 2004