A combination of QFD and imprecise DEA with enhanced Russell graph measure: A case study in healthcare

Majid Azadi, Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Quality function deployment (QFD) is a proven tool for process and product development, which translates the voice of customer (VoC) into engineering characteristics (EC), and prioritizes the ECs, in terms of customer's requirements. Traditionally, QFD rates the design requirements (DRs) with respect to customer needs, and aggregates the ratings to get relative importance scores of DRs. An increasing number of studies stress on the need to incorporate additional factors, such as cost and environmental impact, while calculating the relative importance of DRs. However, there is a paucity of methodologies for deriving the relative importance of DRs when several additional factors are considered. Ramanathan and Yunfeng [43] proved that the relative importance values computed by data envelopment analysis (DEA) coincide with traditional QFD calculations when only the ratings of DRs with respect to customer needs are considered, and only one additional factor, namely cost, is considered. Also, Kamvysi etal. [27] discussed the combination of QFD with analytic hierarchy process-analytic network process (AHP-ANP) and DEAHP-DEANP methodologies to prioritize selection criteria in a service context. The objective of this paper is to propose a QFD-imprecise enhanced Russell graph measure (QFD-IERGM) for incorporating the criteria such as cost of services and implementation easiness in QFD. Proposed model is applied in an Iranian hospital.

Original languageEnglish
Pages (from-to)281-291
Number of pages10
JournalSocio-Economic Planning Sciences
Issue number4
Early online date18 Jun 2013
Publication statusPublished - Dec 2013

Bibliographical note

Copyright © 2013 Elsevier Ltd.


  • Data envelopment analysis (DEA)
  • Imprecise data
  • Imprecise DEA (IDEA)
  • QFD-imprecise enhanced Russell graph measure (QFD-IERGM)
  • Quality function deployment (QFD)


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