New model assesses product quality maturity in metal hybrid manufacturing, indicating significant advancements in industry standards.
The continued quest for management resources for technologymaturity assessment of the advanced metal subtractive, additive and hybrid manufacturing technologies has brought about the design and development of advanced generic product quality technological maturity assessment model, EbereDimMT004 by membership function. The new maturity model is based on the foundational single and hybrid manufacturing technology maturity assessment model, EbereDimMT002. Therefore, for viable and more secured future of metal hybrid manufacturing technologyin the worldhigh-risk operational and business fields of aerospace, medicine, automotive and defense in particular at present, metal subtractive and additive manufacturing technology product quality variables, in terms of the process capability areas, expanded parametric variables, maturity performance indices were determined and generated from literature, studies and experts’ assemblies. Then, integrated to energize and drive the model.Achoice of fuzzy theory-based experts survey questionnaire model was opted, driven by a well coined and directed research statements and propositions sourced from the available process and product quality variables, interests and concerns.Questionnaires were administered strictly to the target industry audience, and responses received and profiled having adopted the recent Carnegia Mellon University Software Engineering Institute’s (SEI) capability maturity model integration (CMMI) as the principal reference assessment and ranking model for hybrid manufacturing technology. With some knowledge of digital manufacturing, artificial intelligence (AI), data analytics and software engineering, robotics and automation, intelligent mechatronics systems and technology, research and data wascarefully processed all through the independent primary and secondary sections of the advanced generic product quality technological maturity assessment model, EbereDimMT004 by membership function in combination, with impressive and consistent research outcome as on the CMMI profile.
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Eberechukwu Chukwunyelum Dim (2025) studied this question.
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