One approach to evaluate the influence of engineering characteristics in QFD method

Tanja Parezanović, Marijana Petrović, Nataša Bojković and Dragan Pamučar

European Journal of Industrial Engineering, 2019, vol. 13, issue 3, 299-331

Abstract: Evaluation of engineering characteristics (ECs) according to customer requirements (CRs) is the most decisive step of the house of quality in quality function deployment (QFD) method. In most cases, high degrees of correlation between ECs exist and should be modelled. The paper develops a specific measure ('influence gap') and novel underlying procedure (smallest gap technique) for ECs evaluation aiming to capture all interdependencies. The influence gap enables to characterise each EC according to its distance from ideal-maximum influence on all requirements. The relationships between CRs and ECs and their inter-relationships are obtained using interval-valued fuzzy DEMATEL method. From the practical point of view, the most important information for decision maker(s) generated by the model is the clear insight about the contribution of each EC when launching a new product/service. Practicability and usability of the proposed methodology is illustrated over a specific transportation service. [Received: 6 January 2018; Accepted: 2 December 2018]

Keywords: quality function deployment; QFD; DEMATEL; multicriteria decision making; MCDM; interval-valued fuzzy numbers; smallest gap technique; carpooling; customer requirements; engineering characteristics; influence gap. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=100013 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:eujine:v:13:y:2019:i:3:p:299-331

Access Statistics for this article

More articles in European Journal of Industrial Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().