{"id":796,"date":"2026-03-31T18:48:55","date_gmt":"2026-03-31T18:48:55","guid":{"rendered":"https:\/\/digicap.app\/?page_id=796"},"modified":"2026-04-01T11:23:03","modified_gmt":"2026-04-01T11:23:03","slug":"glossery-terms","status":"publish","type":"page","link":"https:\/\/digicap.app\/en\/glossery-terms\/","title":{"rendered":"GLOSSERY & TERMS"},"content":{"rendered":"
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DIGICAP\u00ae<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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GLOSSERY & TERMS<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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SPC (Statistical Process Control)<\/span><\/h3>

Statistical Process Control. A method for monitoring, controlling, and improving a process through statistical analysis. The purpose is to identify and eliminate special causes of variation to ensure stable and predictable production<\/span><\/p>

Cpk (Process Capability Index)<\/span><\/h3>

A measure of how well a process can produce parts within the tolerance limits when the process is stable and under statistical control. Cpk accounts for both the process variation and its centering relative to the tolerance limits<\/span><\/p>

Ppk (Process Performance Index)<\/span><\/h3>

\u201cProcess Performance Index. It measures the actual performance of a process over time, regardless of whether it is under statistical control or not. Unlike Cpk, which measures inherent capability, Ppk accounts for all variation (Total Sigma) that has actually occurred during the measurement period<\/span><\/p>

Cmk (Machine Capability Index)<\/span><\/h3>

Machine Capability Index. It is used to verify a machine\u2019s technical ability over a short period of time and under ideal conditions (often by measuring 50 consecutive parts). It shows the machine\u2019s inherent precision without the influence of external process factors.<\/span><\/p>

Sigma (\u03c3)<\/span><\/h3>

Standard deviation. A statistical measure of the spread within a data set. In SPC and Six Sigma, the goal is to reduce the standard deviation so that the process variation fits well within the customer\u2019s tolerance requirements<\/span><\/p>

Normalf\u00f6rdelning<\/span><\/h3>

A bell\u2011shaped distribution (Gaussian curve) where most values cluster around the mean, and the frequency decreases symmetrically the further you move from the mean. This forms the basis for most capability calculations in industry.<\/span><\/p>

Skillnad USA vs Europa (Ppk)<\/span><\/h3>

There is often some confusion surrounding the concept of Ppk. In the US (according to AIAG\/IATF), the term Ppk is commonly used to describe actual performance based on Total Sigma for the entire data set. In Europe (according to VDA\/ISO), the definition is essentially the same, but ISO standards are often more strict in stating that Ppk should primarily be used for processes that have not yet been proven to be in statistical control (for example, during a pre\u2011production run). The biggest practical difference usually lies in which statistical estimate (Sigma) is used in the calculation.<\/span><\/p>

Potential (Cp\/Pp) vs. Actual Performance (Cpk\/Ppk)<\/span><\/h3>

Indexes without the \u2018k\u2019 (Cp, Pp, Cm) measure the process\u2019s\u2026\u00a0<\/span>potential<\/span><\/strong>\u00a0\u201c\u2014 that is, how good it could be if it were perfectly centered within the tolerance. Indexes with the \u2018k\u2019 (Cpk, Ppk, Cmk) measure the actual performance\u2026\u201d\u00a0<\/span>utfallet<\/span><\/strong>\u00a0\u2026by taking into account how close the process actually is to the worst\u2011case tolerance limit.<\/span><\/p>

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\u201cThis app is developed by MI Qvalitetsutbildningar AB 2026<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

DIGICAP\u00ae GLOSSERY & TERMS SPC (Statistical Process Control) Statistisk processstyrning. En metod f\u00f6r att \u00f6vervaka, styra och f\u00f6rb\u00e4ttra en process genom statistisk analys. Syftet \u00e4r att identifiera och eliminera speciella orsaker till variation f\u00f6r att s\u00e4kerst\u00e4lla en stabil och f\u00f6ruts\u00e4gbar produktion. Cpk (Process Capability Index) Ett m\u00e5tt p\u00e5 hur v\u00e4l en process kan producera delar […]<\/p>\n","protected":false},"author":1,"featured_media":182,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_canvas","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-796","page","type-page","status-publish","has-post-thumbnail","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/digicap.app\/en\/wp-json\/wp\/v2\/pages\/796","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/digicap.app\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/digicap.app\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/digicap.app\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/digicap.app\/en\/wp-json\/wp\/v2\/comments?post=796"}],"version-history":[{"count":15,"href":"https:\/\/digicap.app\/en\/wp-json\/wp\/v2\/pages\/796\/revisions"}],"predecessor-version":[{"id":868,"href":"https:\/\/digicap.app\/en\/wp-json\/wp\/v2\/pages\/796\/revisions\/868"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/digicap.app\/en\/wp-json\/wp\/v2\/media\/182"}],"wp:attachment":[{"href":"https:\/\/digicap.app\/en\/wp-json\/wp\/v2\/media?parent=796"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}