Little academic work exists on managing reference model development and measuring reference model quality, yet there is a clear need for higher quality reference models. We address this gap by developing a quality management and measurement instrument. The foundation for the instrument is the well-known Quality Function Deployment (QFD) approach. The QFD-based approach incorporates prior resear...

This chapter demonstrates how a neuro-fuzzy approach could produce outputs of a further-modified multi-criteria decision-making (MCDM) quality function deployment (QFD) model within the required error rate. The improved fuzzified MCDM model uses the modified S-curve membership function (MF) as stated in an earlier chapter. The smooth and flexible logistic membership function (MF) finds out fuzz...

It is well known that some XML elements correspond to objects (in the sense of object-orientation) and others do not. The question we consider in this paper is what benefits we can derive from paying attention to such object semantics, particularly for the problem of keyword queries. Keyword queries against XML data have been studied extensively in recent years, with several lowest-common-ances...

This research work provides the methodology for the development of intelligent quality function deployment (IQFD) application in the discrete parts, assembly environment. The paper is composed of the background of QFD, related research work review and points for developing in assembly environment. Then, the paper describes about the needs of development on intelligent QFD due to uncertainty on ...

Increasing volatility and product individualization are leading to higher complexity in manual assembly. At the same time, production processes must become more flexible, humans have adapt new products often even faster. Industry 5.0 will increasingly focus on human-centric approaches, collaboration of machines intensively using cognitive assistance systems. The design an innovative system is a...