Modelling of quality function deployment planning with resource allocation

Methodological problems in QFD and directions for future development

“…Later, sophistications to this approach have been developed , 2003, Tang et al 2002. For the moment I restrict my self to the approach proposed by Bode and Fung because this is enough to discuss some of the methodological issues with respect to setting targets.…”

“…In this section, I leave aside such ''company considerations'' as is in fact often done in the literature (e.g. Hauser and Clausing 1988;Franceschini and Rossetto 1995;Govers 1996;Bode and Fung 1998;Park and Kim 1998;Shen et al 1999;Vairaktarakis 1999;Kim et al 2000;Tang et al 2002;Fung et al 2003). Although the literature on QFD is not entirely clear on how customer demands are to be collected and how their relative importance is to be determined, the central idea is that a representative number of customers are asked for their demands and the relative importance of these demands.…”

“…, 2003, Kim et al 2000Tang et al 2002). Such more sophisticated methods, for example, try not simply to maximize customer satisfaction given a budget constraint, but also introduce additional constraints, for example a minimum degree to which each engineering characteristic has to be met.…”

“…In this way, QFD results in a more systematic attention for customer demands in the design and development process, or at least that is claimed. As Fung et al (2003) wrote in a recent article in this journal: ''Being an important business goal, customer satisfaction is a growing concern and prerequisite towards effective competitiveness'' (Fung et al 2003, p. 1).…”

Concurrent multifunction deployment (CMFD)

“…In this respect, notable results in terms of optimizing the target values of the technical characteristics are reported in the works of Fung et al (1999), Vanegas and Labib (2001) and Büyüközkan et al (2004), by using fuzzy algorithms, Bai and Kwong (2003), by using genetic algorithms, Chen et al (2004), by using programming models based on fuzzy regression algorithms, as well as latest developments oriented around fuzzy algorithms for value modelling Weng 2006, Kahraman et al 2006). In terms of optimizing the financial resource allocation, the reference is given by models based on fuzzy logic and optimal design elements , Gandhinathan et al 2004, Fung et al 2003. For optimizing the prioritization process of the intervention areas in increasing the product competitiveness, elaborated solutions are proposed by Karsak (2004) and by Ramasamy and Selladurai (2004), by means of techniques of multi-criteria analysis and fuzzy logic algorithms.…”