TOWARDS SMART MANUFACTURING METROLOGY IN INDUSTRY

Vidosav Majstorovic, Predrag Dramicanin, Goran Dramicanin

Abstract


Smart manufacturing metrology (SMM) integrates advanced measurement techniques with digital technologies such as CPS, IoT, BDA, AI and cloud/edge computing to improve manufacturing. This approach improves accuracy, reduces errors (zero manufacturing) and optimizes quality control through real-time data analysis and automation (BDA, DML). Key aspects of this model include digital twin (DT) technology, in-line and non-contact measurements and AI-driven quality management. These innovations support the Industry 4.0 model, enabling flexible manufacturing processes, minimizing scrap and increasing manufacturing efficiency. The transition to smart metrology is essential for modern industry, ensuring its greater productivity and competitiveness in a data-driven manufacturing environment. This paper presents a case study for SMEs in manufacturing from the smart metrology issue.


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