Statistical process control (SPC)

Statistical process control (SPC) is a method for achieving quality control in processes. It is a set of methods using statistical tools such as mean, variance and others, to detect whether the process observed is under control. Read more . . .

BSI publishes a number of standards outlining the cusum (or cumulative sum) method and standard attribute charting for the monitoring, control and improvement of business processes.

These standards are written with non-experts in mind and aim to make clear how the cusum method and attribute charting can be used widely throughout business, industry, commerce and the public sector. 

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Key publications button standard cover

BS 5702-1:2001
Guide to statistical process control (SPC) charts for variables, Charts for mean, median, range and standard deviation


BS 5702-1:2001 describes a method of statistical process control that involves charting measurements of a given characteristic. It sets out accepted methods of sampling and charting that are easy to use and that often can safely and profitably replace routine inspection. These charts indicate both the level and variability of the characteristic.

The control aspects of Shewhart-type variables charts for mean, median, range and standard deviation, using both Shewhart and probabilistic control limits, are described.

Guidance is given to persons concerned with making decisions on products and processes. The charting techniques outlined may be employed to establish and maintain process control over the charted characteristic.

 

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BSI order ref: BIP 2020:2007
standard coverBS ISO 3534-2:2006
Statistics. Vocabulary and symbols. Applied statistics

standard coverBS ISO 21747:2006
Statistical methods. Process performance and capability statistics for measured quality characteristics

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BSI order ref: BIP 2087:2005
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