Research On The Risk Management Of Key Links In SC Testing Laboratory Quality Management System

As a national development priority of high-tech service industry,testing certification has always supported the infrastructure construction of national quality engineering.The IEC System for Conformity Testing and Certification of Electrical Equipment had officially abolished the standard ISO 17025 of version 2005 in 2017,which had been in use for more than a decade,and replaced with a new version which contains rigid requirements for risk management.In virtue of the transition period of the system standard change,some scholars have carried on the related research to pay attention to the economic benefit brought by the system improvement,but has ignored the quality influence of the risks from the actual system links.SC testing lab is a testing organization representing the level of product safety and quality in South China which is typical of this wave of standard change.The quality management system(QMS)of the lab has been running well and no major quality accidents have occurred,but the minor problems and deviations are constantly emerging,even tautologically and irregularly.It is very detrimental to the long-term development of laboratory in the future.This paper introduces the current situation of risk management in the industry by consulting and collating a large number of documents.According to the comparative analysis of the impact of the requirements differences in both the new and old version systems,focus on identifying the risk of three key links: non-conformity report in external assessments,quality of test report and evaluation of measurement uncertainty.On this basis,utilizing semi-quantitative(technical performance measurement)and qualitative(bias trend analysis and reserve analysis)risk analysis tools from project risk management theory,establishing a risk management procedure,developing relevant risk control measures combines with the actual resources during the testing process.At length,an internal audit shall verify the validation of measures to induce reasonable suggestions.