GALIA

Groupement pour l’Amélioration des Liaisons dans l’Industrie Automobile

Engineering

The development of new applications, infrastructures and IT power combined with that of international exchanges leads the automotive community to rethink its processes and organization of product data design and management.

As a result, manufacturers and their equipment manufacturers are increasingly using collaborative work techniques within extended companies.

GALIA Engineering Committee decides and controls projects to provide the necessary tools and standards for these methods, such as:

  • Change Management
  • Visualization of BE data
  • Technical data exchanges in heterogeneous environments
  • Long-term digital data archiving

This transformation strategy of the sector through digital, requires to rely on engineering standards in various fields, such as digital models quality, based on the SASIG Product Data Quality recommendation, or structured data exchanges, based in particular on the international STEP standard.

GALIA’s work is carried out in close partnership with our German, American, Japanese and Swedish counterparts.

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Product Data Quality Guidelines for the Global Automotive Industry - SASIG

PDQ2_V3R0_en

Product data quality is a measure of the accuracy and appropriateness of product data combined with the timeliness with which those data are provided to all the people who need them.

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Long Term Archiving & Retrieval of Digital Product Definition Data : Quality Assurance Recommendation - SASIG

LTR5_V1R0

o This document aims to provide a comprehensive explanation of the four checking and validation functions that define the LTAR Quality Assurance strategy. The four functions are: Product Data Quality (PDQ) Check, Archival Rules Check, Fixity Check, and Equivalence Validation. Included is a detail description of what each function does, why it is needed, and…

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Long Term Archiving & Retrieval of Digital Product Definition Data : Time Period Recommendation - SASIG

LTR4_V1R0

o This document aims to provide an organization with the key functional and technical elements to consider when choosing a LTAR time period for a particular artifact of product data. Such a period should be retained to meet governmental or organizational requirements. These constraints can be associated with the intellectual property verification and validation; maintenance…

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Long Term Archiving & Retrieval of Digital Product Definition Data : Process Recommendation - SASIG

LTR3_V1R0

This document aims to provide a company with the key activities, inputs, outputs, controls and mechanisms needed to fully support the long term archiving and retrieval of product definition information. Using official standards as the foundation framework, the SASIG Long Term Archiving & Retrieval Project developed seven comprehensive process flow models depicting the activities and…

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Long Term Archiving & Retrieval of Digital Product Definition Data : Format Recommendation - SASIG

LTR2_V1R0

The SASIG Long Term Archiving & Retrieval Project is developing a set of recommendations to guide companies to effective and efficient archival and retrieval practices. This document addresses the set of format recommendations. In particular this document aims to provide a company with the key functional and technical elements to consider when choosing an archival…

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Long Term Archiving & Retrieval of Digital Product Definition Data - SASIG

LTR1_V1R0

This document contains a current state assessment of long term archiving and retrieval within the automotive industry and is a future state vision that describes the four LTAR recommendations and the test bed capability for assessing an enterprise’s LTAR capability.

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ECM Reference Process

ECM4_V1R0

This document is an addendum which provides an explanation of the SASIG ECM Reference Process. Its purpose is to describe additional aspects which are not explicitly covered by the SASIG ECM Recommendation due to various reasons, but which seems to be necessary in order to get familiar with the ideas behind the SASIG ECM Recommendation.

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ECM Recommendation Part 1 (ECR) - SASIG

ECM3_V1R0

This chapter provides an overview of the fundamental principles and key phases of the ECR Reference Process. It describes the solution approaches upon which the ECR recommendation is based.

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ECM Recommendation Part 0 (ECM) - SASIG

ECM2_V1R0

This recommendation aims to provide support for ECM processes with respect to the communication of change data between customers and suppliers using standards such as ISO10303-214 (STEP AP214) and PLM Services from the OMG.

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Management Presentation - SASIG

ECM1_V1R0

This document presents the motivation, vision, scope and expected benefits that SASIG Engineering Change Management work group anticipates from its works. It explains what interaction scenarios, defined messages and data model to be used to support ECM processes between customer and supplier using existing standards like PLM Services, STEP and XML.

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PROMETHEA

Creation of a standard data model to ensure product compliance Context: A working group including experts from Renault, PSA Groupe and Digital Product Simulation (DPS) has built a demonstrator to calculate statistics that can be viewed in the KARREN platform (DPS solution) using measurement files issued from production tools. To do this, the two manufacturers […]

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Technical data exchange between third parties

Objectives: State-of-the-art practices with business case descriptions Mapping of contents and formats according to the use cases linked to the solutions used Publish a guide to eligible formats Expected deliverables: Guide to eligible formats: Technical elements: Potential of formats; Use; Consideration of IP protection Matrix: from each Use Case (used in Valdriv), projection on axes […]

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Collaborative BOM data exchange

The technical data exchange is an essential part of the work in extended enterprise either between two partner manufacturers or between manufacturer and supplier. PDM/PLM solutions are, in general, different from one company to another, which makes the use of neutral formats and standards indispensable. In addition, each manufacturer has its own coding: Identifiers, Versions/releases/indices, […]

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