ArePron | Agile resource-efficient production network

The ArePron project develops a transparent and comparable assessment basis as a decision-making basis for the optimised use of resources within a value creation network.

Duration: Completed | 2018 – 2020
Funded by: European Union | Hessian Ministry

If you have any questions about this completed project please contact our institute management:

Arepron research project | 2018 – 2020

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Guidelines and Publication

Initial situation

The issues of sustainability and resource efficiency are becoming increasingly important for manufacturing companies. However, there is often a lack of a procedure for addressing the topic and a data basis that enables an overview of resource use and the allocation of consumption to the manufactured product.


The overall objective of the ArePron transfer project is to support Hessian SMEs in the transformation process to a digital and sustainable production. In particular, it is to be shown how a corresponding data basis can be created for the evaluation of resource efficiency.


The ArePron project addresses the topics of production management, the use of digital technologies and energy and resource efficiency as a whole. The planned approach of the project is the development of a methodical approach as well as the parallel practical implementation in a production network consisting of machines of the ETA and CiP learning factory in order to support the creation of transparency, life cycle assessment and the introduction of systems for digitalisation in operational practice.

The knowledge

Transfer of the project results is supported by the

Principle picture of the project
Principle picture of the project


The project is supported by the Hessian Ministry of Economics, Energy, Transport and Housing and by European funds (EFRE). The project sponsor is the Wirtschafts- und Infrastrukturbank Hessen. The project is carried out in an internal TU Darmstadt cooperation with the Department of Material Flow Management and Resource Management (SuR) and the Department of Data Processing in Construction (DiK).

Funding source

Consortium partner

Project executing organisation