Abstract
Purpose: This study presents a framework for the robust reliability design of a multi-functional system by considering various usage patterns of an existing system.<BR>Methods: The framework consists of four stages: 1) identifying the critical component in a multi-functional system, 2) collecting and analyzing data from users, 3) designing for optimal system reliability, and 4) validating system reliability in various operating environments. Moreover, the framework includes failure mode and effects analysis (FMEA), big data on system usage, the redundancy allocation problem (RAP), and the genetic algorithm (GA).<BR>Conclusion: By using a framework that considers the usage pattern of a system, it was possible to achieve target reliability and a robust design for various usage patterns. Compared to the usage patterns experienced by many users in the existing structure, it was confirmed that most users experienced few (or no) failures. In addition, the framework was robust during the verification stage.
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