方法证据记录
Simulation-assisted root cause analysis
Simulation-assisted root cause analysis (Sim-RCA) integrates computational simulation — such as discrete-event simulation, Monte Carlo methods, or finite-element analysis — into the structured root cause analysis process to diagnose the underlying causes of complex failures or defects. By running virtual experiments on a system model, investigators can test hypothetical causal pathways safely, rapidly, and at scale, without disrupting live operations or waiting for rare failure events to recur.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Simulation-Assisted Root Cause Analysis
分类方法记录 · process-pipeline / experimental-design
- Latino, R. J., & Latino, K. C. (2006). Root Cause Analysis: Improving Performance for Bottom-Line Results (3rd ed.). CRC Press. · ISBN 978-0849338267
- Banks, J., Carson, J. S., Nelson, B. L., & Nicol, D. M. (2010). Discrete-Event System Simulation (5th ed.). Prentice Hall. · ISBN 978-0136062127
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