SimPlan develops innovative solutions for the data-driven automation and optimisation of manufacturing processes in microelectronics
The European semiconductor industry faces the challenge of making production processes more efficient, flexible and sustainable. At the same time, demands on quality, productivity and competitiveness are rising. Against this backdrop, SimPlan AG is participating in the European research project TREASURY.
The collaborative project aims to strengthen the performance of European semiconductor manufacturing through the use of data-driven and AI-supported technologies. To this end, innovative solutions from the fields of data acquisition, data management, artificial intelligence, digital twins, simulation and automated optimisation are being developed and integrated into industrial applications.
Objectives of the research project
As part of TREASURY, modular technological building blocks are being developed to support various fields of application in semiconductor manufacturing. These include virtual metrology, quality monitoring, yield optimisation and dynamic production planning.
The solutions developed are tested in real laboratory and production environments and evaluated using defined performance metrics. This ensures that the project results offer concrete benefits for industrial practice.
The project follows an iterative approach in which requirements, development, integration and validation are closely interlinked. The project is complemented by activities in the areas of sustainability, standardisation, exploitation and knowledge transfer.
Role of SimPlan AG
SimPlan brings its many years of experience in the fields of simulation, digital twins and production optimisation to the project. The aim of this sub-project is the development and industrial testing of AI-supported digital factory twins for semiconductor manufacturing.
The focus is on the intelligent integration of discrete-event simulation, process mining, production data and large language models (LLMs). This should enable digital twins to be created more quickly, updated more easily and validated more efficiently.
A key contribution from SimPlan is the further development of Building Block BB4 ‘Digital Twinning Tools’. New approaches for an AI-supported design and implementation process for digital twins are being developed. At the same time, the integration of simulation and process mining is being expanded to incorporate real production data even more closely into modelling.
Furthermore, SimPlan is taking a leading role in integrating the developed technologies into dynamic production planning applications. With the help of simulation-based scenario analyses and AI-supported optimisation methods, companies can evaluate various planning options and make informed decisions.
Outlook
The technologies developed in the project are intended to support companies in making production processes more transparent, efficient and flexible. The combination of digital twins, simulation, process mining and artificial intelligence creates new opportunities for data-driven production planning and process optimisation.
Through its participation in TREASURY, SimPlan is contributing to the further development of innovative digital twin technologies and to the strengthening of the European microelectronics industry. The project will run from May 2026 to April 2029.
Project partners (excerpt of German partners)
- Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.
- DigitalTwin Technology GmbH
- Johannes Gutenberg University Mainz
- Camline GmbH
- Systema Systementwicklung Dipl. Inf. Manfred Austen GmbH
- Singulus Technologies AG
- AMS-OSRAM International GmbH
- X-FAB Dresden GmbH & Co. KG
- Robert Bosch Semiconductor Manufacturing Dresden GmbH
- SimPlan AG
Sponsored by
The research project is funded by the Federal Ministry of Education and Research (BMBF) and the European Commission.
Funding began in May 2026 and is expected to continue until April 2029.
