Preprint / Version 1

Advanced Reliability Engineering Tests with MSRDT

##article.authors##

  • Suiyao Chen University of South Florida

DOI:

https://doi.org/10.31224/3346

Keywords:

R, MSRDT, BRDT, Reliability Engineering, Simulation, Sample Size, Bayesian

Abstract

The MSRDT R package introduces a novel approach to address the limitations of traditional reliability demonstration tests (RDTs). This package enables the design, simulation, and analysis of multi-state RDTs that account for varying reliability requirements across different time periods and failure modes. By integrating Bayesian analysis, historical data, and expert knowledge, MSRDT empowers users to make more informed decisions, potentially reducing required sample sizes. Through case studies and simulations, we showcase the effectiveness of the proposed strategies in meeting modern reliability assessment needs. This package represents a significant advancement in reliability engineering, offering a versatile solution to enhance customer satisfaction, ensure product safety, and optimize resource allocation in the face of evolving reliability standards. The package is available through the Comprehensive R Archieve Network and GitHub.com.

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Posted

2023-11-13