Despite extensive research on techniques useful for creating robust designs; i.e. designs that are insensitive to noise factors; the industrial use and knowledge of RDM is still low; see Gremyr; Arvidsson et al. (2003). Arvidsson and Gremyr (2005) argue that one reason for this limited use of RDM might be an inattention to the overall framework of RDM in favour of development of applicable statistical methods. Gremyr and Johansson (2005) interview companies applying the methodology and suggest possible reasons underlying its low level of use. One reason is the lack of support for the use of tools applicable in RDM; which in turn implies a need for a structured framework.
The purpose of this paper is to operationalize RDM in terms of principles; practices and techniques; this way of operationalization was previously applied by Dean and Bowen (1994) with respect to the concept of ‚ÄúTotal Quality‚ÄĚ. In this paper we characterize RDM by means of three principles: awareness of variation; insensitivity to noise factors and continuous applicability; meaning that RDM efforts are appropriate in all stages of design. These principles in turn are implemented through a set of practices; which are the focus of this paper. Earlier research forms the basis of these practices and will be presented briefly in the following section.
Keywords: Robust design methodology; variation; noise factors; control factors; P-diagram; quadratic loss function