GB/T 28863-2012

Active

Sampling inspection procedures for commodity applying to the case with prior information of quality

商品质量监督抽样检验程序 具有先验质量信息的情形

Standard Type
GBT
ICS
03.120.30
CCS
A41
Status
Active
Issue Date
2012-11-05
Implementation
2013-02-15
Centralized Committee
国家标准委
Issuing Authority
中华人民共和国国家质量监督检验检疫总局、中国国家标准化管理委员会

Application Summary AI generated

This standard specifies sampling inspection procedures for commodity quality supervision when prior quality information, such as historical data or known defect levels, is available. It is applied by regulatory authorities and third-party inspection bodies to determine sample sizes and acceptance criteria for batch assessment, particularly in contexts like market surveillance or routine quality audits. The standard optimizes inspection efficiency by leveraging existing quality knowledge, reducing testing costs while maintaining statistical validity.

Related Standards

GB/T 2828.1-2012 Sampling procedures for inspection by attributes — Part 1: Sampling schemes indexed by acceptance quality limit (AQL) for lot-by-lot inspection GB/T 19004-2011 Managing for the sustained success of an organization — Quality management approach GB/T 19011-2013 Guidelines for auditing management systems GB/T 19000-2008/ISO 9000:2005 Quality management systems - Fundamentals and vocabulary GB/T 2828.1-2003 Sampling procedures for inspection by attributes--Part 1: Sampling schemes indexed by acceptance quality limit(AQL) for lot-by-lot inspection GB/T 19022-2003 Measurement management systems--Requirements for measurement processes and measuring equipment GB/T 6379.2-2004 Accuracy(trueness and precision)of measurement methods and results--Part 2:Basic method for the determination of repeatability and reproducibility of a standard measurement method GB/T 6379.1-2004 Accuracy(trueness and precision)of measurement methods and results--Part 1:General principles and definitions
Transparency note: The application summary and key sentences on this page were automatically generated by AI from the standard's original text. This content has not been human-verified and should not be used for compliance or regulatory purposes. Always refer to the official standard document from the issuing authority.