Inference of Population Hierarchical Cluster of Customer Needs
In product development, engineers first collect customer needs and then group similar needs to identify a small number of representative needs. Engineers transfer these representative needs to target product requirements and develop products that fulfill these requirements. In grouping similar needs, engineers use affinity diagram, which is a popular consensus-based method, or subjective clustering, which is a statistical method. This paper applies bootstrap to subjective clustering in order to assist engineers make an inference about the population cluster of customer needs. This paper presents a procedure for bootstrap application to subjective clustering, a preliminary experiment, and an illustrative example.
S. Takai and K. Ishii, "Inference of Population Hierarchical Cluster of Customer Needs," Proceedings of 2005 ASME Design Engineering Technical Conferences, American Society of Mechanical Engineers (ASME), Jan 2005.
Mechanical and Aerospace Engineering
Keywords and Phrases
Bootstrap; Customer Needs; Hierarchical Clustering; Subjective Clustering
Article - Conference proceedings
© 2005 American Society of Mechanical Engineers (ASME), All rights reserved.
01 Jan 2005