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Release: 24.03 (deprecated)

CX-0040 Aspect Model: Part Analyses v2.0.1

1. Introduction​

This document describes the semantic model "Parts Analyses" used in the Catena-X network.

1.1 Audience & Scope​

This section is non-normative

The described semantic model is relevant for:

  • Data Provider / Consumer
  • Business Application Provider

1.2 Context​

This section is non-normative

The Catena-X use case Quality (QAX) uses multiple data models to exchange data between automotive manufacturer (OEM) and component supplier (TIER1). Each of these data models can be supplied independently.

The PartsAnalyses data model is used to exchange information about analyzed parts that were send back from the automotive manufacturer (OEM) to the part manufacturer. These analyses and their results are related to one or more quality tasks.

1.3 Conformance​

As well as sections marked as non-normative, all authoring guidelines, diagrams, examples, and notes in this specification are non-normative. Everything else in this specification is normative.

The key words MAY, MUST, MUST NOT, OPTIONAL, RECOMMENDED, REQUIRED, SHOULD and SHOULD NOT in this document are to be interpreted as described in BCP 14 [RFC2119] [RFC8174] when, and only when, they appear in all capitals, as shown here.

1.4 Proof of conformity​

This section is non-normative

All participants and their solutions will need to proof, that they are conform with the Catena-X standards. To validate that the standards are applied correctly, Catena-X employs Conformity Assessment Bodies (CABs).

For Data Provider: To prove conformity you have to fulfill all MUST criteria mentioned in chapter Normative criteria for data provider.

There is no proof of conformity necessary for Data Consumer.

For Business Application Provider: To prove conformity you have to fulfill all MUST criteria mentioned in chapter Normative criteria for Business Application Provider.

A model validator needs to be created, to proof the correctness of the data model. A generic test set created for the model needs to proof the expected results.

1.5 Examples​

Example payload in JSON format:

{
  "listOfPartAnalyses" : [ {
    "catenaXPartId" : "urn:uuid:580d3adf-1981-44a0-a214-13d6ceed9000",
    "resultsDescription" : "Corrossion on component xyz in steering motor",
    "customerPartNumber" : "OE-PRT-12345",
    "qualityTaskId" : "BPN-811_2022_000001",
    "manufacturerSerialPartNumber" : "436347347.4343884384.FTG.538348",
    "isDefect" : true,
    "manufacturerAnalysisID" : "TIER-647439403403",
    "anonymizedVin" : "3747429FGH382923974682",
    "manufacturerPartNumber" : "123-0.740-3434-A",
    "customerAnalysisID" : "OE-43673473438",
    "manufacturerPartName" : "Steering assembly",
    "addtionalInformation" : {
      "keys" : [ "Steel quality" ],
      "values" : [ "Stainless steel" ]
    },
    "status" : "new"
  } ]
}

1.6 Terminology​

This section is non-normative

Business Partner Number (BPN)

A BPN is the unique identifier of a partner within Catena-x.

2. Aspect Model Part Analyses​

2.1 Introduction​

Catena-X use case "Quality"(QAX) uses several Catena-X standardized data models to exchange data:

Aspect models used in QAX

Figure 1: Hierarchy of Catena-X data models used in QAX

Data models in QAX and their content:

  • QualityTask is the root element and describes why companies are working together on a quality topic and what they want to do. All involved companies and their contact people are named. In addition, a flag tells what should be done with exchanged data after a QualityTask is closed.

  • Vehicle.ProductDescription: This data model is a representation of one vehicle affected by this QualityTask. The model represents the vehicle when it was sold to the end-customers from an end-customers point of view: Which standard equipment was installed in the vehicle and which extra equipment was installed in the vehicle.

  • Fleet.DiagnosticData: Diagnostic data coming from multiple vehicles that are affected by this QualityTask + Diagnostic data from similar vehicles that are not affected by this QualityTask.

  • Fleet.ClaimData: Customer complaints that are linked to this QualityTask + Data about the exchange of potentially faulty parts

  • ManufacturedPartsQualityInformation: A selection of manufacturing-related parameters that help to solve the QualityTask

  • PartsAnalyses: Analyses results of replaced and potentially faulty parts that are linked to this QualityTask

2.2 Normative Criteria​

The usage of the described semantic model "Parts Analyses" is a MUST for Data Provider and Data Consumer that want to work together on a quality topic over Catena-X automotive network.

2.2.1 Normative criteria for Data Provider​

Every data provider of "Parts Analyses" MUST provide the data conformant to the semantic model specified in CX-0040.

If available a data provider of "Parts Analyses" MUST provide property manufacturerSerialPartNumber for serial parts.

If available a data provider of "Parts Analyses" MUST provide manufacturerPartIdentifier for non-serial parts.

It is a MUST for data providers of "Parts Analyses" to provide the property qualityTaskId. qualityTaskId MUST match with qualityTaskId property of "Quality Task" data specified in CX - 0036.

If available catenaXIdentifier of the analyzed parts SHOULD be provided by the data provider.

In the Catena-X data space "Parts Analyses" data MUST be exchanged via Eclipse Dataspace Connector (EDC) conformant to CX - 0018.

It is RECOMMENDED to use Apache parquet1 file format together with EDC S3 data plane for file data exchange for "Parts Analyses".

2.2.2 Normative criteria for Business Application Provider​

It is a MUST for Business Application Provider to support at least 2 standardized Catena-X QAX aspect models from Catena-X Release 3.2 (2 out of Catena-X standards CX – 0036, CX – 0037, CX – 0038, CX – 0039, CX – 0040, CX – 0041, CX - 0091) to get the label “Catena-X Certified Solution” for their quality application.

It is RECOMMENDED for Business Application Provider to be able to read the semantic model “Parts Analyses”.

2.3 License​

This Catena-X data model is an outcome of Catena-X use case group Live Quality Loops (QAX). This Catena-X data model is made available under the terms of the Creative Commons Attribution 4.0 International (CC-BY-4.0) license, which is available at Creative Commons2.

The license information is available in github.

In case of doubt the license, copyright and authors information in github overwrites the information in this specification document.

2.4 Identifier of Semantic Model​

This semantic model has the unique identifier

urn:samm:io.catenax.parts_analyses:2.0.0

2.5 Formats of Semantic Model​

2.5.1 RDF Turtle​

The rdf turtle file, adhering to the Semantic Aspect Meta Model, is the master for generating additional file formats and serializations. It is provided here:

https://github.com/eclipse-tractusx/sldt-semantic-models/tree/main/io.catenax.parts_analyses/2.0.0

The open source command line tool of the Eclipse Semantic Modeling Framework3 is used for generation of other file formats like for example a JSON Schema, aasx for Asset Administration Shell Submodel Template or a HTML documentation.

2.5.2 JSON Schema​

A JSON Schemaas well as an example JSON payload can be generated from the RDF Turtle file using the Eclipse ESMF tooling.

If present, example JSON-payloads MUST validate against the generated JSON schema.

3. References​

3.1 Normative References​

CX - 0018 EclipseDataConnector(EDC)
CX - 0036 Aspect Model: QualityTask
CX - 0037 Aspect Model: Vehicle.ProductionData
CX - 0038 Aspect Model: Fleet.DiagnosticData
CX - 0039 Aspect Model: Fleet.ClaimData
CX - 0040-Aspect Model: PartAnalyses
CX - 0041-Aspect Model: ManufacturedPartsQualityInformation
CX - 0091 Aspect Model: Fleet.Vehicles
CX - 0092 Aspect Model: QualityTaskAttachment

Copyright © 2024 Catena-X Automotive Network e.V. All rights reserved. For more information, please visit here.

Footnotes​

  1. https://parquet.apache.org/ ↩

  2. https://creativecommons.org/licenses/by/4.0/legalcode ↩

  3. https://github.com/eclipse-esmf/esmf-sdk#samm-cli ↩