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<p>Statistical process control (SPC) concerns the use of statistical techniques and/or statistical or stochastic control</p>
<p>algorithms to achieve one or more of the following objectives:</p>
<p>a) to increase knowledge about a process;</p>
<p>b) to steer a process to behave in the desired way;</p>
<p>c) to reduce variation of final-product parameters, or in other ways improve performance of a process.</p>
<p>These guidelines give the elements for implementing an SPC system to achieve these objectives. The common</p>
<p>economic objective of statistical process control is to increase <i>good </i>process outputs produced for a given amount</p>
<p>of resource inputs.</p>
<p>NOTE 1 SPC operates most efficiently by controlling variation of a process parameter or an in-process product parameter</p>
<p>that is correlated with a final-product parameter; and/or by increasing the process's robustness against this variation. A</p>
<p>supplier's final-product parameter may be a process parameter to the next downstream supplier's process.</p>
<p>NOTE 2 Although SPC is concerned with manufactured goods, it is also applicable to processes producing services or</p>
<p>transactions (for example, those involving data, communications, software, or movement of materials).</p>
<p>This part of ISO 11462 specifies SPC system guidelines for use</p>
<p>_ when a supplier's capability to reduce variation in processes associated with design or production needs to be</p>
<p>proven or improved; or</p>
<p>_ when a supplier is beginning SPC implementation to achieve such capability.</p>
<p>These guidelines are not intended for contractual, regulatory or certification use.</p>
Reģistrācijas numurs (WIID)
33381
Darbības sfēra
<p>Statistical process control (SPC) concerns the use of statistical techniques and/or statistical or stochastic control</p>
<p>algorithms to achieve one or more of the following objectives:</p>
<p>a) to increase knowledge about a process;</p>
<p>b) to steer a process to behave in the desired way;</p>
<p>c) to reduce variation of final-product parameters, or in other ways improve performance of a process.</p>
<p>These guidelines give the elements for implementing an SPC system to achieve these objectives. The common</p>
<p>economic objective of statistical process control is to increase <i>good </i>process outputs produced for a given amount</p>
<p>of resource inputs.</p>
<p>NOTE 1 SPC operates most efficiently by controlling variation of a process parameter or an in-process product parameter</p>
<p>that is correlated with a final-product parameter; and/or by increasing the process's robustness against this variation. A</p>
<p>supplier's final-product parameter may be a process parameter to the next downstream supplier's process.</p>
<p>NOTE 2 Although SPC is concerned with manufactured goods, it is also applicable to processes producing services or</p>
<p>transactions (for example, those involving data, communications, software, or movement of materials).</p>
<p>This part of ISO 11462 specifies SPC system guidelines for use</p>
<p>_ when a supplier's capability to reduce variation in processes associated with design or production needs to be</p>
<p>proven or improved; or</p>
<p>_ when a supplier is beginning SPC implementation to achieve such capability.</p>
<p>These guidelines are not intended for contractual, regulatory or certification use.</p>
