TSE ISO/TR 10017:2003

TSE ISO/TR 10017:2003 is a Technical Report that provides guidance on selecting statistical techniques for quality management systems in connection with ISO 9001:2000. It helps users understand which data-driven methods may be useful in a quality context, but it does not define a mandatory set of statistical procedures.

The role of statistics in quality management

In quality management, statistical techniques are used to understand variation, monitor process performance, reveal trends, and support data-based decisions. Measured values, process data, conformance records, and customer feedback can all provide quantitative evidence about where a process is stable and where improvement may be needed. Within the ISO 9001 framework, such data are an important basis for continual improvement and for evaluating system effectiveness.

How this Technical Report frames the subject

The report focuses on examining the ISO 9001 requirements that involve quantitative data and then identifying and describing statistical techniques that can be useful when applied to that data. In practical terms, this means guidance for choosing methods that support summarising and comparing data, analysing variation, monitoring process behaviour, and interpreting patterns. Its purpose is to help organisations select suitable techniques while building, implementing, maintaining, and improving a quality management system.

• Provides guidance for quantitative data linked to ISO 9001.
• Supports the development, implementation, maintenance, and improvement of a quality management system.
• Explains statistical techniques and the kinds of data contexts where they can be useful.
• Offers guidance rather than a mandatory list of methods.