BS 5702-3:2008 pdf free.Guide to statisticalprocess control (SPC)charts for variables Charting techniques for short runs and small mixed batches.
BS 5702-3 This part of BS 5702 describes ways of applying measured data statistical process control (SPC) charts to short runs and small mixedbatches where the sample size for monitoring is restricted to one. Itprovides a set of tools to facilitate the understanding of sources ofvariation in such processes so that the processes can be bettermanaged.
The charts described are process- rather than product-focused.Theuser can plot, monitor and control similar characteristics on differentitems, or different characteristics on an item, on a single control chart.
The following referenced documents are indispensable for the application of this document. For dated references, only the editioncited applies. For undated references, the latest edition of the referenced document ( including any amendments) applies.
BS 600:2000,A guide to the application of statistical methods toquality and standardization
BS 5702-1:2001,Gwide to statistical process control (SPC) chartsfor variables – Part 1 : Charts for mean, median,range andstandard deviation
BS 5702-2:2008,Gwide to statistical process control (SPC) chartsfor variables – Part 2: Charts for individual values
BS ISO 3534-2:2006,Statistics – Vocabulary and symbols -Part 2: Applied statistics
The business aim of statistical process control (SPC) is to control andimprove quality, increase productivity and reduce cost. The principalgraphical tool of SPC is the control chart. There are two main classes ofcontrol chart,Shewhart and cumulative sum (cusum).
NOTE Cusum control charts are dealt with in BS 5703-2.
The Shewhart control chart provides a graphical representation of aprocess showing plotted values of a representative statistic of a selectedcharacteristic (e.g. individual value, mean, range or standard deviation),a centre line, and one or more control lines. The control line(s) andcentre line are used as a basis for judging the stability of the process,namely, whether or not the process is in a state of statistical control.Control lines, representing limits, are derived from the actual
performance of the process and are not to be confused with specifiedlimits or specified tolerances.
Shewhart control charts provide a common international language forcommunicating technical information on the performance of a process.Control charts are effective tools in understanding process behaviour.They distinguish between special- and common-cause variation. Whenno special cause is present, the process is said to be in a state of statistical control.
When a process is in statistical control, its capability is predictable andcan be assessed. Reducing common cause variation and improvingprocess targeting can enhance process capability.
Potentially, the control chart has wide applicability throughout anyorganization.BS 5702-3 pdf download.