Application of Optimized Advanced Generic Product Quality Technology Maturity Assessment Model, EbereDimMT005 by Professional Fuzzy Inference Rule on Metal Hybrid Manufacturing Processes

With the design and development of a new technological maturity assessment model, an additive hybrid manufacturing technology that integrates metal additive manufacturing laser powder bed fusion and subtractive manufacturing computer and numerical control (CNC) Machining processes on a single manufacturing platform was opened for product quality (PQ) technological maturity assessment using the optimized advanced generic product quality technology maturity assessment model, EbereDimMT005 by professional fuzzy inference rule to ascertain the level of technology advancement. In doing so, a digital manufacturing and artificial intelligence, data analytics and software engineering based consolidated semi-direct technological maturity assessment methodology (SDTMAM) model, with fuzzy logic system, set theory and membership function models were progressively and systematically assembled and applied with an extension as optimized advanced generic scientific tools to source and process research data for assessment of the PQ technological maturity of individual additive and subtractive manufacturing technologies, as well as the hybrid manufacturing technology. A Capability Maturity Model Integration (CMMI) maturity profile of the Software Engineering Institute (SEI) of the Carnegie Mellon University, USA was adapted as a reference maturity profile framework for the technological maturity assessment (TMA) results and ranking. The metal HMT PQ after research and results simulation was consistently found at the quantitatively managed maturity level 4ML of 5-ML CMMI maturity profile, where the technological maturity level of metal HMT based on PQ is precisely at 3.18ML, which is 63.5% maturity, therefore justifies and validates the model.