Expected value-based method to determine the importance of engineering characteristics in QFD with uncertainty theory

Jing Liu, Shuya Zhong, Mingxuan Zhao

Research output: Contribution to journalArticlepeer-review

5 Citations (SciVal)

Abstract

Quality function deployment (QFD) is a systematic method used for developing a product or service, that helps transforming customer requirements (CRs) into appropriate engineering characteristics (ECs). How to obtain the importance of ECs in QFD is a fundamental and crucial issue for efficiently planning resource allocation. Owing to the typical imprecision or vagueness in the QFD process, the uncertain environments and the uncertainty theory are suggested for capturing those linguistic assessments and subjective judgements. Thus, in this paper, a new method for determining the importance of ECs using an uncertain expected value operator is presented, in which the two sets of input data are expressed as uncertain variables, namely, the relative importance of CRs and the relationship matrix between CRs and ECs. An example of a exible manufacturing system design illustrates the performance and the potential applications of the presented approach.

Original languageEnglish
Pages (from-to)271-284
Number of pages14
JournalJournal of Uncertain Systems
Volume8
Issue number4
Publication statusPublished - 30 Nov 2014

Bibliographical note

Funding information:
This work was supported in part by grants from the National Social Science Foundation of China (No.
13CGL057), the National Natural Science Foundation of China (No. 71272177), and the Ministry of Education
Funded Project for Humanities and Social Sciences Research (No. 12JDXF005).

Keywords

  • House of quality
  • Importance of engineering characteristics
  • Quality function deployment
  • Uncertainty theory

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Control and Optimization
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Expected value-based method to determine the importance of engineering characteristics in QFD with uncertainty theory'. Together they form a unique fingerprint.

Cite this