Document: NRC Regulatory Guide
Document ID: a5ee4c78-1135-4bb6-8d54-e974a3402f87
Document Type: regulatory_guide
Title: An Approach for Plant-Specific, Risk-Informed Decisionmaking: Graded Quality Assurance
Source: NRC Regulatory Guide Division 1
Source URL: https://www.nrc.gov/docs/ML1221/ML12216A017.pdf
Revision Date: 2023-06
Chapter: 
Section ID: RG-1.176
CFR Part: 
CFR Title: 

Content:
zation (by default all safety-related SSCs will initially have a "high" QA categorization), the proposed QA categorization, associated correlation with system functions, and a brief explanation of the justification for the proposed change. 4.2.3 Plant Operating Experience Summarize any major events involving failures if the occurrence was attributable to inadequate or improperly applied QA controls at this plant. Include in this summary any lessons learned from these events and indicate actions taken to prevent or minimize recurrence of the events. 4.2.4 Engineering Evaluation The categorization process is considered an engineering analysis, and as such, the completed analysis should be considered a quality record. In addition to the submittal documentation discussed in Regulatory Position 4.1, Regulatory Guide 1.174 (Ref. 3) provides guidance on documentation that may 0 1.176-20 be required to support a risk-informed application. The licensee should review the guidance in Regulatory Guide i. 174 and either develop the documentation or ensure that sufficient material is available that the documentation can be developed if requested. Additional documentation that should be available if requested includes: Documentation describing the methods and techniques used for developing quantitative and qualitative risk insights used to support the safety- significance categorization of SSCs. * Documentation corresponding to the sample document submitted (described in (1) in Regula- tory Position 4.1.2) for all systems that have been categorized. " A description of how the importance measures were calculated and used (including the guidelines to categorize if applicable). This information should be augmented by technical description on how the limitations associated with the use of importance measures were communicated to the expert panel and resolved. * Important assumptions, including SSC functional capabilities and performance attributes, that play a key role in supporting