Advancing SAPHIRE: Transitioning from Legacy to State-of-Art Excellence

Over its 35-year evolution, Systems Analysis Programs for Hands-on Integrated Reliability Evaluations (SAPHIRE) has embraced technological advancements, yet opportunities for improvement persist. Specifically, challenges in quantifying large models, model tracking, and facilitating model exchange have spurred our unique research roadmap. Our research begins with the extraction and enhancement of key solvers within SAPHIRE, including the fault tree solver, event tree/sequence solver, cut set updater, cut set post-processor, event tree linker, cut set partition processor, change set processor, uncertainty sampler, and end state gather. These enhancements target existing bottlenecks to elevate the SAPHIRE experience. Notably, the process introduces a cloud-based solving option, offering users the flexibility to employ SAPHIRE on their desktop or in a cloud environment. This solution streamlines model exchange and efficient model tracking and enhances computational resources, reducing model-solving time. This paper provides an overview of the processing engines within SAPHIRE, outlining their goals and the roadmap for achieving state-of-the-art excellence. The initiative successfully extracts processing engines, paving the way for a cloud-based solve option. Emphasizing security, comprehensive measures are in place to fortify the security of SAPHIRE's cloud solution.