BS 5702-2:2008

Foreword
1 Scope
2 Normative references
3 Terms, definitions and symbols
4 Role of control charts in process control and
   improvement
5 Classes of data and selection of appropriate chart
6 Control charts for individual measurements
7 Construction and use of standard individual and moving
   range control charts
8 Construction and use of standard moving mean and moving
   range charts
9 Construction and use of median control charts
10 Construction and use of basic cusum charts
11 Construction and use of individual measurement cusum
   charts for process control
12 Construction and use of individual and moving range charts
   for attribute data
Annexes
Annex A (informative) - Case studies for typical applications
Annex B (informative) - Control chart templates
Annex C (normative) - Relationship between C[pk] and percentages
        and parts-per-million (ppm) out-of-specification
Bibliography

Provides guidance on the application of control charts to individual observations.

This part of BS 5702 gives guidance on the application of control charts to individual observations. It demonstrates the benefits, versatility and usefulness of a simple but powerful pictorial method for monitoring, audit and surveillance with the objectives to control and improve many types of processes. These processes can, for example, be in industry, commerce, public service, health care, environment, food, information technology or finance. Case studies are included to illustrate this adaptability.

It describes how and when to apply, select, construct, interpret and use, control charts:

• generally, to individual measurements of a single characteristic arranged in a meaningful sequence; and
• specifically, to particular cases of attribute data.

This standard distinguishes between the use of control charts to achieve product control as opposed to steering a process (reducing variation and making estimates of, and securing progressive improvements in, process performance).

This standard is aimed at all those concerned with statistical related initiatives based on individual observations and the continuous improvement of business processes.