Guidelines for implementation of statistical process control (SPC) — Part 5: Quality data exchange format for SPC software

This document describes a data format for the exchange of quality information: — the data format is distinguished by a transparent structure that is easy to edit; — it is flexible, space saving and easily be copied and compacted; All files are language independent because of the allocation of an explicit key to a language independent field, the content of which can be translated into any language required.

Lignes directrices pour la mise en oeuvre de la maîtrise statistique des processus (MSP) — Partie 5: Format d'échange de jeux de données relatives à la qualité pour les logiciels MSP

General Information

Status
Published
Publication Date
27-Sep-2023
Current Stage
6060 - International Standard published
Start Date
28-Sep-2023
Completion Date
28-Sep-2023
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Technical report
ISO/TR 11462-5:2023 - Guidelines for implementation of statistical process control (SPC) — Part 5: Quality data exchange format for SPC software Released:28. 09. 2023
English language
46 pages
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TECHNICAL ISO/TR
REPORT 11462-5
First edition
2023-09
Guidelines for implementation of
statistical process control (SPC) —
Part 5:
Quality data exchange format for SPC
software
Lignes directrices pour la mise en oeuvre de la maîtrise statistique des
processus (MSP) —
Partie 5: Format d'échange de jeux de données relatives à la qualité
pour les logiciels MSP
Reference number
© ISO 2023
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this publication may
be reproduced or utilized otherwise in any form or by any means, electronic or mechanical, including photocopying, or posting on
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or ISO’s member body in the country of the requester.
ISO copyright office
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Phone: +41 22 749 01 11
Email: copyright@iso.org
Website: www.iso.org
Published in Switzerland
ii
Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions, and symbols and abbreviated terms . 1
3.1 Terms and definitions . 1
3.2 Symbols and abbreviated terms . 1
3.2.1 Symbols. 1
3.2.2 Abbreviations . 2
4 Data model . 2
4.1 Basic data model structure . 2
4.2 Types of data. 3
4.3 General notation regulations . 4
5 Description and listing of the key fields . 5
5.1 General . 5
5.2 List of key fields for parts data . 5
5.3 List of key fields for characteristics data . 6
5.4 List of key fields for measured values data . 9
5.5 List of key fields for structural data . 10
5.6 List of key fields for quality control charts data . 11
6 Applications .11
6.1 General . 11
6.2 Process qualification . 12
6.3 Writing modes . . .12
7 Catalogues .12
7.1 General .12
7.2 List of key fields for catalogues .13
Annex A (informative) Application examples and explanations .16
Bibliography .46
iii
Foreword
ISO (the International Organization for Standardization) is a worldwide federation of national standards
bodies (ISO member bodies). The work of preparing International Standards is normally carried out
through ISO technical committees. Each member body interested in a subject for which a technical
committee has been established has the right to be represented on that committee. International
organizations, governmental and non-governmental, in liaison with ISO, also take part in the work.
ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of
electrotechnical standardization.
The procedures used to develop this document and those intended for its further maintenance are
described in the ISO/IEC Directives, Part 1. In particular, the different approval criteria needed for the
different types of ISO document should be noted. This document was drafted in accordance with the
editorial rules of the ISO/IEC Directives, Part 2 (see www.iso.org/directives).
ISO draws attention to the possibility that the implementation of this document may involve the use
of (a) patent(s). ISO takes no position concerning the evidence, validity or applicability of any claimed
patent rights in respect thereof. As of the date of publication of this document, ISO had not received
notice of (a) patent(s) which may be required to implement this document. However, implementers are
cautioned that this may not represent the latest information, which may be obtained from the patent
database available at www.iso.org/patents. ISO shall not be held responsible for identifying any or all
such patent rights.
Any trade name used in this document is information given for the convenience of users and does not
constitute an endorsement.
For an explanation of the voluntary nature of standards, the meaning of ISO specific terms and
expressions related to conformity assessment, as well as information about ISO's adherence to
the World Trade Organization (WTO) principles in the Technical Barriers to Trade (TBT), see
www.iso.org/iso/foreword.html.
This document was prepared by Technical Committee ISO/TC 69, Applications of statistical methods,
Subcommittee SC 4, Applications of statistical methods in product and process management.
A list of all parts in the ISO 11462 series can be found on the ISO website.
Any feedback or questions on this document should be directed to the user’s national standards body. A
complete listing of these bodies can be found at www.iso.org/members.html.
iv
Introduction
Online data recording is becoming more and more important. A major advantage is the accurate and
reliable recording of data within a minimum of time. It creates the foundation for fast and concise
evaluations based on data collected online, and enables validated decision taking.
These possibilities help create more transparency and improve the analysis of internal and external
procedures and processes. Thus, online data transfer helps to improve process quality and efficiency as
well as to increase customer satisfaction. However, along with the growing possibilities, also the number
of possibilities and variations for a multitude of solutions and the degree of complexity increases.
For this reason, the measuring values generating device manufacturers have to invest plenty of time
and effort for customer specific adaptations, as well as during the specification and control phase
at the customers and with regard to investment cost for implementation. To minimize this effort, a
generally valid data format was developed for an exchange of quality data in industrial production that
is independent of manufacturer and user.
With the objective to find a satisfactory solution for all parties involved, a number of users of the
software function “Data Interface” from the automotive production and supplier industry joined forces
to create a standardized and coordinated specification. The objective was to include a group of users in
this work group as big as possible, in order to get a representative cross-section through the scope and
interpretation of the key fields and their application. The result is a standardized catalogue of the data
fields important to every user.
v
TECHNICAL REPORT ISO/TR 11462-5:2023(E)
Guidelines for implementation of statistical process
control (SPC) —
Part 5:
Quality data exchange format for SPC software
1 Scope
This document describes a data format for the exchange of quality information:
— the data format is distinguished by a transparent structure that is easy to edit;
— it is flexible, space saving and easily be copied and compacted;
All files are language independent because of the allocation of an explicit key to a language independent
field, the content of which can be translated into any language required.
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 22514-2, Statistical methods in process management — Capability and performance — Part 2: Process
capability and performance of time-dependent process models
3 Terms and definitions, and symbols and abbreviated terms
3.1 Terms and definitions
For the purposes of this document, the terms and definitions given in ISO 22514-2 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 https:// www .electropedia .org/
3.2 Symbols and abbreviated terms
3.2.1 Symbols
Symbols used in this document are identical to symbols used in ISO 22514-2 and ISO 7870-2.
C process capability index
p
C minimum process capability index
pk
C upper process capability index
pkU
C lower process capability index
pkL
U upper control limit
CL
L lower control limit
CL
m the number of subgroups
n sample size of each subgroup
P process performance index
p
P minimum process performance index
pk
P upper process performance index
pkU
P lower process performance index
pkL
U upper specification limit
SL
L lower specification limit
SL
3.2.2 Abbreviations
ELS error log sheet
SPC Statistical Process Control
File type *.DFQ a file which contains all needed information (part/characteristic/values)
File type *.DFD a file which contains only header information (part/characteristic information)
File type *.DFX a file which contains only value and additional information
4 Data model
4.1 Basic data model structure
A basic data model has been defined, which distinguishes between three main groups of data. The
highest level contains parts data, the second level characteristics data and the third level are data
related to the measured values. The characteristics data contain a voluntarily subgroup for quality
control chart application. Furthermore, separately from the three groups there are some key fields for
structure information.
This basic data model structure is illustrated in Figure 1.
Shaft
(K1xxx)
Characteristics:
(K2xxx)
(K8xxx)
(K0xxx)
Figure 1 — Data model
Every data group (level) contains a large number of defined so called key fields, which descri
...

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