The international standard ISO has been withdrawn and replaced by the standard ISO. In order to avoid confusion regarding. TECHNICAL ISO/TR REPORT First edition Statistical methods in process management — Capability and performance. Buy UNI ISO STATISTICAL METHODS IN PROCESS MANAGEMENT – CAPABILITY AND PERFORMANCE – PART 2: PROCESS CAPABILITY.

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These indices will provide information about whether a process is poorly centred and whether it will possiblyproduce 2254 items. This naturally leads ontothe two sets of indices that are to be found in their relevant clauses. The index is computed using the formula: When these measures of process capability have to be extended to characteristics that are not normallydistributed, it is necessary to begin from the point of view that these ios are meant to be managerialtools, that they display and reflect the conformance of the actual values of a characteristic with itscorresponding specification limits.

Therefore, the Cp index can be expressed as: The following paragraphs are intended to alert the reader to this fact and to providemethods that confidence kso for the indices can be calculated.

ISO 22514-2:2013: Statistical methods in process management – Capability and performance – Part 2:

It is the appropriate measure of variation for use in calculating theperformance indices. The estimates are denoted by Y1 and Y2 is and the formula becomes: NOTE 5 For a normal distribution 2. Various types of probability paper may be useful to identify the appropriate family of distributions. It is therefore recommended that, wherever possible, the indices’confidence intervals are computed and reported. They present a special appeal to those engaged in minimizing process variation around a targetvalue.

An example of this is shown in Figure 2. Consequently, process capability in the case of a controlled process is restricted to statements aboutthe level of nonconformities or nonconforming items.

Keywords process management Capability and performance Capability of measurement processes.

The estimated proportion of out-of-specification items is calculated using the specification limits and thedistribution function of the log-normal distribution. If the index is less than a given value, the process is deemed to haveproduced an excessive proportion of items outside of the specification.


This obviates the 2514 to work out the lso function given in the example. Usually, the greater the amount of data used to compute the index thebetter the estimate will be.

Sometimes, too, the estimator St is preferredto Sw because it has more tractable statistical properties e. Process is and performance evaluations are necessary to enable organizations to assess thecapability and performance of their suppliers. NOTE 1 The class of distributions can often be fully specified through the values of the appropriate parameters.

It represents thevariation that remains after all known removable assignable causes have been eliminated. I understand that I cannot print or share electronic products. Since a process in statistical control can be described by a predictable distribution,the proportion of out-of-specification outputs can be estimated.

The process results of these quality characteristics are categorized into eight possible distribution types. The method is illustrated below with some often encountered distributions.

However, the reality is often that each cavity produces a slightlydifferent distribution because either the means or the variabilities or both are different. If the index 2214 less than a given value, the process is deemed to be producing an excessiveproportion of items outside of the specification.

ISO Pages 1 – 50 – Text Version | FlipHTML5

Home Explore ISO NOTE 4 For a normal distribution, process capability can be assessed from the expression: This part of ISO describes methods by which thesecan be computed. My purchase is non-refundable.

If the occurrence of nonconformities per hundred is so low isi the NHU is very much less than the value 1,consider the number of nonconformities per million instead, i.

Continual improvement leads to reductions in the costs of failure and assists 2214 the drive for survival in anincreasingly more competitive world. Read the Text Version. ISO Published by sureshkumars There are other indices that incorporate both the location and the variation; of these, the most widely used isthe Cpk index. It is important for the user of this part of ISO to appreciate that variations exist that will be of a short-term nature as well as those that will be of 25214 long-term nature and that capability determinations using only theshort-term variation might be greatly different to those which have used the long-term variability.


ISO 22514-4-2007

These differ according to how manyreadings the estimated Cp has been based on. Very often, when data are gathered over a long period of time, the standard deviation is made larger by the effects of fluctuations in the process. Create your own flipbook. Integrated Management Systems e-book. ISO shall not be held responsible for identifying any or all such patent rights. It is indexed in terms of the acceptance quality limit AQL and is designed for users who have simple requirements.

If there is a change to those conditions, it will necessitate a new process study;b assess the short-term and long-term measurement variabilities as percentages of the total variability and minimize them;c preserve the process stability and maintain its statistical control;d estimate the remaining inherent variation; ande select an appropriate measure of capability. It is compatible with the methods used in off-line quality techniques.

Calculation formulae for the statistical measures are placed with every distribution. As long as the process remains in statisticalcontrol, it will continue to produce the same proportion out-of-specification. When considering short-term variation, a study that uses only the shortest-term variation, sometimes knownas a machine study, might be carried out.

Alternatively, the calculations can bemade directly in the original scale of the measurements. This method is not preferred but is presented here due to its occasional use for completeness. NOTE 3 For a non-normal distribution 2. Using the above example of a CpkU of 0,86 and a CpkL of 0,91, the estimated proportion beyond thespecification limits U and L may be read directly from Table 3 as 0, 9 and 0, 2.

The estimates are denoted by Y1 and Y2 respectively and Equation 1 becomes: FRC is the percentage of satisfactory items produced: