Guidelines for implementation of statistical process control (SPC) - Reference data sets for SPC software validation

Guidelines for implementation of statistical process control (SPC) - Reference data sets for SPC software validation

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What is ISO 11462-3 about? 

ISO 11462-3 is part three of a multi-series standard that covers reference data sets for SPC software validation which enables effective data accessibility and reduces the margin of error. 

ISO 11462-3 describes examples for software validation for SPC software. ISO 11462-3 provides data sets and test results for testing the implementation of the evaluation methods described in these standards. This includes the detection of out-of-control situations as well as the calculation of sample statistics and process capability indices. 

Who is ISO 11462-3 for? 

ISO 11462-3 on guidelines for implementation of statistical process control is useful for: 

  • Internal and external quality assurance team 
  • Data analyst 
  • Manufacturing unit of food and beverages 
  • Companies providing automation system services 

Why should you use ISO 11462-3?  

The test examples given in ISO 11462-3 were developed for the assessment of statistical process control (SPC) systems. They allow SPC software developers to evaluate their systems. Thus, the end-user of those systems can be sure that the data sets are evaluated correctly with a high level of reliability. 

ISO 11462-3 is commonly used in manufacturing or production processes to measure how consistently a product performs according to its design specifications.  By achieving consistent quality and performance, some of the benefits manufacturers can realize are: 

  • Reduced scrap, rework, and warranty claims 
  • Maximized productivity 
  • Improved resource utilization 
  • Increased operational efficiency 
  • Decreased manual inspections 
  • Improved client satisfaction 
  • Reduced Costs 
  • Extensive Analytics and Reporting 

Users of ISO 11462-3 get ten reference data sets for SPC software validation, their description and evaluation that enables them to assess data to monitor and analyse data flow and improve efficiencies by directing limited resources to their urgent needs in real-time scenarios.