Fuzzy Quality Function Deployment: An Analytical Literature Review

Abstract

This paper presents an analytical literature review on fuzzy quality function deployment (FQFD) of papers published between 2000 and 2011. In this review, publications were divided into two main groups. First group included publications which proposed some models to develop FQFD. The second one was related to new applications of FQFD models. Next, publications were analyzed and research gaps and future directions were presented. We reached some conclusions including the following. (i) Most of studies were focused on quantitative methods to accomplish phase 1 of QFD or House of Quality (HoQ). The most employed techniques were multicriteria decision making (MCDM) methods. (ii) Although main purpose of using QFD was product development, other factors such as risk and competiveness analysis should be considered in product development process. (iii) A promising approach is using of metaheuristic methods for solving complicated problems of FQFD. (iv) There are a few studies on completing all phases of FQFD.

A fuzzy-QFD approach for the enhancement of work equipment safety: a case study in the agriculture sector

“…As far as the quality of the results is concerned, although they were obtained by means of a semiquantitative approach (Liu and Tsai, 2012), according to the group of experts' opinions, the fuzzy logic allowed us to obtain more coherent results, reducing the biasness and imprecisions when using the traditional QFD, in line with findings provided by Abdolshah and Moradi (2013), and Cattaneo (2017) among others. This aspect appears relevant when performing risk assessment activities, since safety experts tend to use a single crisp value during risk assessments, which may lead to inaccurate assessment results, as stressed by Liu and Tsai (2012).…”

“…• The Fuzzy logic sets to deal with the uncertainty given by the imprecision and vagueness of the qualitative and subjective definitions of CRs (Abdolshah and Moradi, 2013;Kamvysi et al, 2014;Patriarca et al, 2016).…”

A Systematic Approach for the Selection of Optimization Algorithms including End-User Requirements Applied to Box-Type Boom Crane Design

“…can include different relations, but we don't expect differences in the form of going from no relation to a strong relationship. Finding the correlations could be done differently, for example by involving fuzzy logic [53] or machine learning [11]. Both of these approaches are outside the scope of this work as is the verification of the defined relations.…”

A method for the evaluation of risk in IT projects

“…Analytical Network Process (ANP) (Saaty, 1996) is a more general form of AHP that takes into consideration the interaction between factors but ANP implementation is more complex (Abdolshah & Moradi, 2013;Hodgett, 2013;Mazurek & Kiszová, 2012) and it shares other disadvantages present in AHP (Salo & Hämäläinen, 1997). Wang, Luo, & Hua (2008) demonstrate that fuzzy AHP may drive to a wrong decision due to the calculation of weights that do not represent the relative importance of the evaluation criteria (Rodríguez, 2015).…”