ISO 11462-1 : 2001(R2007)

Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 SPC applications
  4.1 Process characteristics
  4.2 Production characteristics
  4.3 Techniques for control and models of processes
5 SPC objectives and organization
  5.1 SPC objectives
  5.2 Financial motive for SPC
  5.3 Relationships
  5.4 SPC organization
6 Conditions for statistical process control
  6.1 Management support
  6.2 Understanding of SPC tools and methods
  6.3 Quality management system
7 Elements of a statistical process control system
  7.1 Process documentation and control plan
  7.2 Definition of process targets and limits
  7.3 Measurement system evaluation and control
  7.4 Documented work instructions
  7.5 Employee training and involvement in process data
  7.6 Process data recording and collection
  7.7 Traceability and production sequence identification
  7.8 Subcontractor performance evaluation
  7.9 Process input sequencing
  7.10 Process logs
  7.11 Process reliability
  7.12 Process output monitoring system
  7.13 Process control system
  7.14 Short-term variability assessment
  7.15 Long-term variability assessment
  7.16 Communicating the results of process analyses
  7.17 Customer information system
  7.18 Internal SPC audits
  7.19 SPC projects and teams
  7.20 Process improvement, optimization and troubleshooting
Annex A (normative) Terms and definitions
Bibliography

Statistical Process Control (SPC) concerns the use of statistical techniques and/or statistical or stochastic control algorithms to achieve one or more objectives like to increase knowledge about a process, to steer a process to behave in the desired way and to reduce variation of final-product parameters, or in other ways improve performance of a process.