Function-based selective and adaptive cyber-physical assembly system for increased quality in optoelectronics industry

Abstract

Recent advances in smart manufacturing technologies combined with the growing emphasis on zero-defect manufacturing paradigm set a premium on defect mitigation strategies in low-volume production systems. Assemblies for high-tech, high-variety products are becoming more complex, necessitating the need for in-line inspection, prediction, and prevention mechanisms; since the state-of-art end-of-line quality gates are error-prone due to accumulation of variability and errors from heterogeneous sources, originating in upstream process stages. This paper proposes a dynamic function-oriented selective and adaptive assembly based on Cyber-Physical System (CPS) capabilities in order to meet changing product quality standards while enhancing the flexibility of the underlying strategy. A real-case study in optoelectronics industry is used to test and validate the method, highlighting the major benefits of the suggested methodology in terms of final product quality.