BS ISO 22514-3:2020
$142.49
Statistical methods in process management. Capability and performance – Machine performance studies for measured data on discrete parts
Published By | Publication Date | Number of Pages |
BSI | 2020 | 28 |
This document describes the steps for conducting short-term performance studies that are typically performed on machines (including devices, appliances, apparatuses) where parts produced consecutively under repeatability conditions are considered. The number of observations to be analysed vary according to the patterns the data produce, or if the runs (the rate at which items are produced) on the machine are low in quantity. The methods are not considered suitable where the sample size produced is less than 30 observations. Methods for handling the data and carrying out the calculations are described. In addition, machine performance indices and the actions required at the conclusion of a machine performance study are described.
This document is not applicable when tool wear patterns are expected to be present during the duration of the study, nor if autocorrelation between observations is present. The situation where a machine has captured the data, sometimes thousands of data points collected in a minute, is not considered suitable for the application of this document.
PDF Catalog
PDF Pages | PDF Title |
---|---|
2 | National foreword |
6 | Foreword |
7 | Introduction |
9 | 1 Scope 2 Normative references 3 Terms and definitions 4 Symbols |
10 | 5 Pre-conditions for application 5.1 General 5.2 Number of parts to be used in the study |
11 | 5.3 Materials to be used 5.4 Measurement system 5.5 Running the study 5.6 Special circumstances 6 Data collection 6.1 Traceability of data |
12 | 6.2 Retention of specimens 6.3 Data recording 7 Analysis 7.1 General 7.2 Run chart 7.2.1 Purpose 7.2.2 Review the plot |
13 | 7.3 Analyse the pattern of the data 7.3.1 Software approach |
14 | 7.3.2 Check the pattern of the data 7.3.3 Summarize the data 7.3.4 Manual approach |
17 | 7.4 Produce a probability plot 7.4.1 General 7.4.2 Analyse the data |
18 | 7.5 Special cases 7.5.1 Data indicate a skewed distribution |
19 | 7.5.2 Bimodal data |
20 | 7.5.3 Truncated data |
21 | 7.5.4 Censored data 7.6 Calculation of machine performance indices 7.6.1 General procedure |
22 | 7.6.2 Data following a normal distribution 8 Reporting 8.1 Test report |
23 | 8.2 Confidence intervals 8.2.1 General 8.2.2 Indices calculated with the data following a normal distribution |
24 | 8.2.3 Indices calculated with data following a non-normal distribution 9 Actions following a machine performance study |
25 | Annex A (informative) Tables and worksheets |
27 | Bibliography |