BS ISO 7870-1 pdf free download

BS ISO 7870-1-2019 pdf free download.Control charts Part 1: General guidelines.
This document presents key elements and the philosophy of the control chart approach, and identifies a wide variety of control charts (including those related to the Shewhart control chart, those stressing process acceptance or online process adjustment, and specialized control charts). It presents an overview of the basic principles and concepts of control charts and illustrates the relationship among various control chart approaches to aid in the selection of the most appropriate part of ISO 7870 for given circumstances. It does not specify statistical control methods using control charts. These methods are specified in the relevant parts of ISO 7870. 2 Normative references The following documents are referred to in the text in such a way that some or all of their content constitutes requirements of this document. For dated references, only the edition cited applies. For undated references, the latest edition of the referenced document (including any amendments) applies. ISO 3534-1, Statistics — Vocabulary and symbols — Part 1: General statistical terms and terms used in probability ISO 3534-2, Statistics — Vocabulary and symbols — Part 2: Applied statistics
3 Terms and definitions For the purposes of this document, the terms and definitions given in ISO 3534-1, ISO 3534-2 and the following apply. ISO and IEC maintain terminological databases for use in standardization at the following addresses: — ISO Online browsing platform: available at https:// www .iso .org/ obp — IEC Electropedia: available at http:// www .electropedia .org/ 3.1 control chart chart with control limits (3.2) on which some statistical measure of a series of samples is plotted in a particular order to steer the process with respect to that measure Note 1 to entry: The particular order is usually based on time or sample number order. Note 2 to entry: The control chart operates most effectively when the measure is a process variable which is correlated with an ultimate product or service characteristic. [SOURCE: ISO 3534-2:2006, 2.3.1, modified — added “with control limits” after “chart” in definition, deleted “and to control and reduce variation” after “to that measure”.]
3.2 control limit statistical value defining an intended level of stability for a produced characteristic Note 1 to entry: One or two control limits are represented on the control chart. Note 2 to entry: The term “stability” is not meant only for a process in control but it can also be stability against a target value.
3.3 Shewhart control chart control chart (3.1) with Shewhart control limits (3.4) intended primarily to distinguish between the variation in the plotted measure due to random causes and that due to special causes [SOURCE: ISO 3534-2:2006, 2.3.2] 3.4 Shewhart control limit control limit (3.2) determined statistically from the variation of the process due to the random causes alone
3.5 acceptance control chart control chart (3.1) intended primarily to evaluate whether or not the plotted measure can be expected to satisfy specified tolerances [SOURCE: ISO 3534-2:2006, 2.3.3] 3.6 process adjustment control chart control chart (3.1) which uses a prediction model of the process to estimate and plot the future course of the process if no change is made, and to quantify the change to be made to keep the process deviations within acceptable limits [SOURCE: ISO 3534-2:2006, 2.3.4]
3.7 variables control chart control chart (3.1) in which the measure plotted represents data on a continuous scale [SOURCE: ISO 3534-2:2006, 2.3.6, modified — deleted “Shewhart” before “control chart”.] 3.8 attributes control chart control chart (3.1) in which the measure plotted represents countable or categorized data [SOURCE: ISO 3534-2:2006, 2.3.7, modified — in the term, “attributes” used instead of “attribute”; in the definition, deleted “Shewhart” before “control chart”.]
3.9 c chart count control chart attributes control chart (3.8) for the number of incidences where the opportunity for occurrence is fixed Note 1 to entry: Incidences of a particular type, for example, number of absentees and number of sales leads, form the count. In the quality field, incidences are often expressed as nonconformities and the fixed opportunity relates to samples of constant size or fixed amount of material. Examples are “flaws in each 100 m 2 of fabric” and “errors in each 100 invoices”. [SOURCE: ISO 3534-2:2006, 2.3.8].BS ISO 7870-1 pdf download.