ISO/TR 11462-5:2023 Summary
Guidelines for Implementing Statistical Process Control (SPC)

Background of the Standard

In the world of manufacturing, CAD (Computer-Aided Design) is the universal language for data. Today, it is taken for granted that drawings can be shared online instantly and that designs from different sources can be digitally integrated.


But what about the evaluation of the products manufactured based on those drawings? Can you immediately analyze and compare data provided by another company within your own software? Unfortunately, the current reality often involves manual re-entry into Excel, converting data into proprietary formats, or restructuring it to fit internal systems.

As online (digital) process data increases, making data-driven evaluations has significantly improved the speed and objectivity of decision-making. Furthermore, automated data recording—free from human intervention—ensures data integrity and prevents tampering.

However, the cost and effort required to support different data formats for each equipment manufacturer are rising. While CAD has established official standards like STEP and IGES, no compatible, common data file format previously existed for the dimensional measurement results of those manufactured parts.

If data formats differ, data aggregation will be costly and laborious.

To address this, ISO/TR 11462-5:2023, Guidelines for implementation of statistical process control (SPC), Part 5: Quality data exchange format for SPC software, has been established.

Data Model

Data within a file is categorized by field numbers as shown in the table below:

Data model basic structure

File Types

There are two patterns for file creation. Depending on the equipment's data output method, you can choose the optimal configuration:

  • Single File: All information consolidated into a single file with the extension *.dfq
  • Split Files: A paired configuration consisting of *.dfx and *.dfd files.

Notation Rules

Example:
K0100 3(Total characteristics)
K1001/1 Part_Number
K2002/1 Characteristic_1

Mandatory Fields

he following fields are mandatory and must be included in the file:

Main part field, characteristic field list

Main part fields
Main characteristic fields

Example of parts and characteristics section

K0100 3
K1001/1 P10L3
K1002/1 Work10
K1003/1 WK10
K1041/1 DW0001
K2001/1 M1
K2002/1 Z position
K2101/1 -250.0
K2110/1 -250.1
K2111/1 -249.9
K2001/2 M2
K2002/2 Straightness
K2101/2 0.0000000000
K2111/2 0.1000000000
K2001/3 M3
K2002/3 Pocket Width1
K2101/3 50.0
K2110/3 49.9
K2111/3 50.1

Main value field list

Main value fields

Field: Date/tiem field format (K0004)

Date/time format

Example of Value level field section

K0001/1 2.01
K0002/1 0
K0004/1 20.02.2022/07:29:32
K0005/1 1
K0010/1 2
K0014/1 SR0001
K0001/2 10.15
K0002/2 0
K0004/2 20.02.2022/07:29:32
K0005/2
K0010/2 1
K0014/2 SR0002
K0001/3 5.3
K0002/3 0
K0004/3 21.02.2022/08:29:32
K0005/3 2
K0010/3 1
K0014/3 SR0003

Field: Quality Control Chart

Fields for Quality Control Chart

Example of QCC section

K8012/1 -249.98
K8013/1 -250.062
K8500/1 5
K8501/1 0

Catalogs (Reference Tables)

ISO/TR 11462-5 utilizes reference tables called "Catalogs."
Repetitive traceability information—such as machine numbers, fixture IDs, or operator names—is pre-listed in a catalog. The numerical data then only needs to reference the corresponding ID from that table. This keeps file sizes small and ensures data consistency.

Machine catalog

Machine catalog entry example (corresponding to K0010)

Machine catalog example

Referencing the Catalog:

K0010/1 2-->Assigns "Index 2" from the catalog to the first data point.

On the software screen, the actual text from the catalog (e.g., "Machine 2") is displayed instead of just the number.

Benefits of Compliance

For Users:

  • Equipment Selection: Select machinery based on truly critical specs (accuracy, speed, usability) without worrying about data post-processing or integration hurdles.
  • Cost Reduction: Integrated existing databases with new equipment data instantly via the common format, drastically reducing the time and cost of data consolidation

For Equipment Manufacturers:

  • Development Efficiency: No need to prepare multiple data output specifications for different customers, allowing R&D efforts to focus on core product innovation.

Our INDEQS series is fully compliant with the ISO/TR 11462-5 data format. We provide training on ISO standard formats and create custom conversion interfaces.