A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning

Pai Zheng, Xun Xu, Sheng Quan Xie

Research output: Journal article publicationJournal articleAcademic researchpeer-review

39 Citations (Scopus)

Abstract

Customer requirements (CRs) play a significant role in the product development process, especially in the early design stage. Quality function deployment (QFD), as a useful tool in customer-oriented product development, provides a systematic approach towards satisfying CRs. Customers are heterogeneous and their requirements are often vague, therefore, how to determine the relative importance ratings (RIRs) of CRs and eventually evaluate the final importance ratings is a critical step in the QFD product planning process. Aiming to improve the existing approaches by interpreting various CR preferences more objectively and accurately, this paper proposes a weighted interval rough number method. CRs are rated with interval numbers, rather than a crisp number, which is more flexible to adapt in real life; also, the fusion of customer heterogeneity is addressed by assigning different weights to customers based on several factors. The consistency of RIRs is maintained by the proposed procedures with design rules. A comparative study among fuzzy weighted average method, rough number method and the proposed method is conducted at last. The result shows that the proposed method is more suitable in determining the RIRs of CRs with vague information.

Original languageEnglish
Pages (from-to)3-16
Number of pages14
JournalJournal of Intelligent Manufacturing
Volume30
Issue number1
DOIs
Publication statusPublished - 31 Jan 2019
Externally publishedYes

Keywords

  • Customer-centric design
  • Fuzzy set theory
  • Product planning
  • Quality function deployment
  • Rough set theory

ASJC Scopus subject areas

  • Software
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

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