Information-centric production information management (IcPIM) framework for the consistent use of production planning-related data in the automotive industry

Production planning is the linking function between product development and production and therefore an important stakeholder of PLM systems in the automobile manufacturing industry, aiming to manage data throughout various lifecycle stages. Yet, state of the art PLM data structures present challenges because of their lack of flexibility and automation concerning needs-orientated data structures addressing the data domains of products, processes and resources. Another crucial challenge is the transferability of data throughout different applications in a diverse IT-landscape in high volume, customization and complexity industries. This work presents a concept for the management of production planning-related data structures for consistent use from product development and production planning up to production IT and Digital Twin applications. It is developed based on a large-scale case study in an automobile OEM group and validated in concept trial studies as well as an ongoing organizational change project towards data governance in the corporate context.

Authors

Institutions

Publication Details

Journal
Cogent Engineering
Published
2025-11-26
DOI
https://doi.org/10.1080/23311916.2025.2591485
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Information-centric production information management (IcPIM) framework for the consistent use of production planning-related data in the automotive industry

Anna Vogt, Rainer Stark
Cogent Engineering
Digital Transformation in Industry
article

Information-centric production information management (IcPIM) framework for the consistent use of production planning-related data in the automotive industry

Anna Vogt, Rainer Stark
article en

Abstract

Production planning is the linking function between product development and production and therefore an important stakeholder of PLM systems in the automobile manufacturing industry, aiming to manage data throughout various lifecycle stages. Yet, state of the art PLM data structures present challenges because of their lack of flexibility and automation concerning needs-orientated data structures addressing the data domains of products, processes and resources. Another crucial challenge is the transferability of data throughout different applications in a diverse IT-landscape in high volume, customization and complexity industries. This work presents a concept for the management of production planning-related data structures for consistent use from product development and production planning up to production IT and Digital Twin applications. It is developed based on a large-scale case study in an automobile OEM group and validated in concept trial studies as well as an ongoing organizational change project towards data governance in the corporate context.

Cogent EngineeringVol. 12(1)
Audi (Germany) (DE), Technische Universität Berlin (DE)
Openalex Percentile: Top 51%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Information-centric production information management (IcPIM) framework for the consistent use of production planning-related data in the automotive industry — Anna Vogt, Rainer Stark · Cogent Engineering (2025) | TGRS Research Map | TGRS