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Risk-based design of experiments/证据
方法证据记录

Risk-based design of experiments

Risk-based design of experiments (RB-DoE) integrates formal risk assessment — typically using tools such as FMEA or fault tree analysis — with classical experimental design to prioritize which process or product factors are most critical to investigate. Rather than treating all candidate factors equally, this approach ranks factors by their risk priority number or likelihood of affecting quality, safety, or reliability, then allocates experimental runs preferentially to high-risk factors. It is widely used in pharmaceutical development, chemical process engineering, and manufacturing quality management.

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源记录

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Risk-based Design of Experiments
分类方法记录 · process-pipeline / experimental-design
  • Myers, R. H., Montgomery, D. C., & Anderson-Cook, C. M. (2016). Response Surface Methodology: Process and Product Optimization Using Designed Experiments (4th ed.). Wiley. · ISBN 978-1118916018
  • International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH). (2009). Pharmaceutical Development Q8(R2). ICH Expert Working Group. · URL
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Taxonomic bucketDesign of experimentsmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFailure Mode and Effects Analysismachine-suggested · Relational suggestion, not evidence.Same method familyFault Tree Analysismachine-suggested · Relational suggestion, not evidence.Used in the same domainResponse Surface Methodologymachine-suggested · Relational suggestion, not evidence.

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Bibliographic sources are present. Claim-level evidence review has not been performed.

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