Quality Function Deployment

This has repercussions in having that spend less time to make changes in the original design and last minute changes. On the other hand scielo.org.co/ on the subject points out, that the QFD, is based on the search for the user’s needs, taking into account both those expressed as those not expressed, which are transferred into shares of designs and communicated throughout the organization. It constitutes a tool of important support for decision-making in the early design stage, in order to develop products involving quality features that are able to maximize customer satisfaction. However, the conventional method of QFD presents limitations and problems, given that decisions are normally based on vague and imprecise information which is acquired in a subjective manner and highly variable sources of information. In order to overcome the limitations and shortcomings of the QFD methodology, studies that seek to minimize its vagueness by applying fuzzy techniques have been made. Researchers such as Masud and Dean (1993), Khoo and Ho (1996), (1997) Temponi Zhou (1997), Trappey (1996) and Park and Kim (1998) have suggested different approaches to prioritise the quality characteristics, through the implementation of fuzzy numbers in some of the vectors or matrices of the House of quality. (Vanegas and Labeed, 2001, p. 99-120), (Vanegas and Labeed, 2001, p.

152-161), (Vanegas and Labeed, 2000, p. 541-548), (Vanegas and Labeed, 2001, p. 255-256). The work developed in the improvement of the QFD using fuzzy techniques, have been limited to working with this tool only in some vectors and matrices, which reduces its efficiency by allowing subjectivity, imprecision and vagueness of conventionally machined data to be replicated throughout the construction of the HOQ, causing thrown results are associated with a high degree of uncertainty which is increasing as the construction progresses. Definitely, QFD (Quality Function Deployment) implies a methodology that allows you to systematize the information obtained from the user to define the characteristics of quality of service, adapting it to the needs and expectations identified.