The competitive nature of modern manufacturing demands that an innovative approach be used to build advanced and robust designs. Shortening the product development time, which is the period from initial design to full production, is a priority to most manufacturers today. Design for Quality Manufacturability (DFQM) is a methodology to address manufacturing / assembly quality issues during product design. As a consequence DFQM helps shorten the product development time.
The DFQM methodology addresses the issue of quality manufacturability (QM) - the likely hood that defects will occur during the manufacture of a product in a standard plant. The DFQM architecture identifies a variety of design factors and variables that influence specific defects. The error catalysts are described in the form of catalysis graphs. Each catalysis graph leads to a value between 0 and 1 , based on the factor variables for the given design, implying the likelihood of occurrence of the specific defect. The overall QM index of design is derived from these values.
In this thesis we introduce new error catalysts for the DFQM method. Further, we conducted case studies of a variety of designs and we present a couple of them in this thesis
